diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 26af9d5c..a08c9ea6 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -214,3 +214,53 @@ jobs:
       - name: Wipe Snowflake credentials
         if: always()
         run: rm -f ~/.snowflake/connections.toml
+
+  redshift-integration:
+    # Skip on forked-PR runs where the Redshift secrets aren't available — the
+    # job would fail otherwise and we'd rather not nag external contributors.
+    if: ${{ github.event_name != 'pull_request' || github.event.pull_request.head.repo.full_name == github.repository }}
+    runs-on: ubuntu-latest
+    needs: lint-and-test
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Skip if Redshift secrets are unset
+        id: gate
+        env:
+          REDSHIFT_HOST: ${{ secrets.REDSHIFT_HOST }}
+        run: |
+          if [[ -z "$REDSHIFT_HOST" ]]; then
+            echo "Redshift secrets unset — skipping the integration suite."
+            echo "skip=true" >> "$GITHUB_OUTPUT"
+          else
+            echo "skip=false" >> "$GITHUB_OUTPUT"
+          fi
+
+      - name: Set up Python
+        if: steps.gate.outputs.skip != 'true'
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.11"
+
+      - name: Install Poetry
+        if: steps.gate.outputs.skip != 'true'
+        run: pip install poetry
+
+      - name: Install dependencies (with redshift extra)
+        if: steps.gate.outputs.skip != 'true'
+        run: poetry install -E redshift
+
+      - name: Run Redshift integration tests
+        if: steps.gate.outputs.skip != 'true'
+        timeout-minutes: 15
+        # Points at a persistent dev cluster/serverless endpoint (unlike the
+        # Docker-backed suites, there's no ephemeral-container option for
+        # Redshift) — tests create and drop their own uniquely-named schema,
+        # see tests/integration/test_integration_redshift.py.
+        env:
+          REDSHIFT_HOST: ${{ secrets.REDSHIFT_HOST }}
+          REDSHIFT_PORT: ${{ secrets.REDSHIFT_PORT }}
+          REDSHIFT_DATABASE: ${{ secrets.REDSHIFT_DATABASE }}
+          REDSHIFT_USER: ${{ secrets.REDSHIFT_USER }}
+          REDSHIFT_PASSWORD: ${{ secrets.REDSHIFT_PASSWORD }}
+        run: poetry run pytest tests/integration/test_integration_redshift.py -v -m integration --timeout=300
diff --git a/DECISIONS.md b/DECISIONS.md
index 496c8b6f..17aaaf0b 100644
--- a/DECISIONS.md
+++ b/DECISIONS.md
@@ -69,3 +69,4 @@ implementation detail. Include issue refs when known.
 - 2026-08-03 — Optional blocks + Cube JS/FILTER_PARAMS import (DEV-1730 / #270): a Mode-A-only `{? ... ?}` block renders its content parenthesised when every inner `{var}` is supplied, else collapses to the neutral `(1=1)` — the SLayer form of a Cube `FILTER_PARAMS` optional pushdown. Blocks live in the same `substitute_variables` (escape="sql") scanner as `{var}`/`{{`/`}}`, must contain ≥1 var, do not nest, and are rejected in Mode-B. A block-bearing model runs substitution even on a zero-variable call so its blocks collapse (the `_substitute_model_sql_surfaces` fast-path now checks for `{?` too); a block-free, required-only model with zero variables is still left untouched (the documented DEV-1625 raw-brace-literal boundary). `extract_model_variables(model)` derives required (bare, no default) vs optional (in-block or defaulted) from the four Mode-A surfaces — structural, nothing persisted, surfaced additively in the inspect skeleton `Variables:` line. The Cube importer gains a **JavaScript front-end** (esprima ESTree parser, a new core dep) that parses `cube()`/`view()` into the same `CubeCube`/`CubeView` shapes as YAML (dynamic values → report + skip member). FILTER_PARAMS refs are carried JS→converter as structured `CubeFilterParamRef` on the transient `CubeCube` (sentinels in the surface text; no arrow-body re-parse, sidestepping the `{var}`-vs-`{FILTER_PARAMS…}` brace clash); the converter resolves sentinels AFTER `translate_cube_refs` so the introduced `{var}` are never eaten. Requiredness (bare vs block) is decided in the converter alone via `honor_required_meta` (default on; CLI `--ignore-required-meta`) AND the member's `meta.required`; with the flag off a scalar-position arrow collapses to Cube's own `(1=1)::TIMESTAMP` booby-trap, faithfully. Cross-cube refs, unknown members, and generated-name collisions (`d`→`d_from` clashing member `d_from`) drop the cube (`filter_params_unsupported`); each logical variable is reported once (`filter_params_variable`) and stashed in `meta.cube_variables`. `render_probe_text` (blocks→`(1=1)`, bare vars→`0`) is the single import-time validation renderer, matching runtime collapse.
 - 2026-08-04 — Dialect-aware / complete escaping for Mode-A `{variable}` substitution (DEV-1727), hardening DEV-1625. `substitute_variables(..., escape="sql")` is now **dialect-aware** and **fail-closed**: it gained a required keyword-only `backslash_escapes` signal (`bool | None`, raises if `None` in sql mode) so a caller rendering raw SQL can never silently under-escape. On backslash-escaping dialects (MySQL/ClickHouse/Snowflake/Redshift/BigQuery/Databricks/Spark) it doubles the backslash before escaping the single quote; on standard dialects it keeps the `''` quote-doubling. The double quote is deliberately left untouched — inside a single-quoted literal `\"` is NOT a recognised escape on 6 of the 7 backslash dialects (only MySQL), so escaping it would corrupt the value. The regime is DERIVED from sqlglot's own tokenizer via `SqlDialect.backslash_escapes_strings` (= `"\\" in tokenizer.STRING_ESCAPES`, guarded + 14-dialect pinned) so our escaping can never drift from the parser that reads the substituted SQL. `escape="python"` (Mode-B) additionally encodes the full C0 control range (`\t`/`\n`/`\r` named, rest `\xNN`) so raw newlines/NUL no longer break `ast.parse`. Engine fail-closed: `_substitute_model_sql_surfaces` / `_render_probe_model` require a `dialect`, threaded from the resolved datasource — no bare bool to forget. Assumes MySQL's default `sql_mode` (backslash escapes on); `NO_BACKSLASH_ESCAPES` servers are a sqlglot-layer-wide limitation, documented not fixed. The SQLite backslash end-to-end gap stays a pinned strict-xfail (pre-existing, out of scope). Bound parameters rejected (don't fit substitute-into-raw-SQL). Nested/join/cross-model lineages remain DEV-1678.
 - 2026-08-04 — Declared list-valued `{variable}` coercion (DEV-1730 follow-up): a scalar supplied for a variable the model declares `list_valued` is wrapped into a one-element list before Mode-A substitution, so an importer-generated `col IN ({var})` renders `IN ('US')` rather than the unquoted `IN (US)`. The generic scalar rule (author writes the quotes, so `{var}` also works in numeric/fragment positions like `amount >= {floor}` and `{d}::TIMESTAMP`) is CORRECT and unchanged — it just presumes an author who can see the SQL position, which a machine-generated fixed template does not have; the caller cannot supply per-element quotes through parentheses the importer wrote. Silent-wrong-answer risk drove the fix over a raise: `region IN (US)` parses as a column reference, so it fails at the database with a confusing message, or resolves against a real column and returns wrong rows. Opt-in is a front-end-NEUTRAL flag: the Cube converter writes `list_valued: ref.kind == "string"` into each `meta.cube_variables` entry (arrow forms splice pre-quoted scalars and stay `False`), and the engine reads only that flag — never Cube's `kind` taxonomy — so a future list-shaped front-end opts in the same way. Coercion lives at the single Mode-A choke point `_substitute_model_sql_surfaces` (execution and the `_render_probe_model` type-probe both route through it, so it cannot be bypassed) via `coerce_declared_list_variables` / `list_valued_variable_names` in `slayer/core/query.py`. Scope is deliberately narrow: only `str`/`int`/`float`/`bool` are wrapped; `list`/`tuple` pass through (the **empty list still raises** — "no filter" belongs to an optional block or a sentinel default); `None`/`dict` are left for `_render_variable_value` to reject with its own naming error; hand-written models declare nothing and are untouched. Follow-on from the same review: `declares_variables(model)` (any non-empty `meta.cube_variables`) now also defeats the DEV-1625 zero-variable fast path, via the shared `_model_needs_substitution_pass` predicate used by both `_substitute_model_sql_surfaces` and `_render_probe_model`. This closes the fast-path hole for a GENERATED model whose pushdowns are all required (no `{? ?}` block to force the pass): such a model used to emit a bare `{var}` into the SQL on a zero-variable call instead of raising the documented missing-variable error. The hole stays open — deliberately — for hand-written models, which declare nothing and keep the raw-brace-literal protection (`'{1,2,3}'`). The `list_valued` flag is matched with `is True`, not truthiness, since `meta` is user-extensible and a stray `1` or the string `"false"` must not switch substitution semantics. The bag is also SELF-IDENTIFYING — an entry counts only with a string `member` (the shape every importer writes) — so a hand-written `meta` that reuses the `cube_variables` key is not mistaken for generated SQL and silently stripped of its brace-literal protection.
+- 2026-08-05 — Redshift live connector (`redshift-live-connector` branch): manual pass against a personal Redshift Serverless endpoint does not promote Redshift from Tier 2 to Tier 1 — the tier's meaning is CI-enforced non-regression, and no CI job runs it yet. Deliberately not wiring `REDSHIFT_*` secrets into `redshift-integration` CI until a project-owned (non-personal) endpoint exists: the job's fork-PR skip does not gate same-repo pushes/PRs, so pointing it at a personal AWS resource would bill every contributor's CI run to that account and expose the credential to anything running in that job.
diff --git a/docs/configuration/datasources.md b/docs/configuration/datasources.md
index 33f424da..77cf5565 100644
--- a/docs/configuration/datasources.md
+++ b/docs/configuration/datasources.md
@@ -64,12 +64,12 @@ These databases are verified by integration tests and runnable Docker examples.
 
 #### Additional support
 
-SQL generation is covered by unit tests, but not verified against live instances. Install the appropriate SQLAlchemy driver manually.
+SQL generation is covered by unit tests, but not verified against live instances.
 
 | Type | SQLAlchemy Driver | Install |
 |------|-------------------|---------|
 | `bigquery` | `sqlalchemy-bigquery` | `pip install sqlalchemy-bigquery` |
-| `redshift` | `sqlalchemy-redshift` + `redshift_connector` | `pip install sqlalchemy-redshift redshift-connector` |
+| `redshift` | `sqlalchemy-redshift` + `redshift-connector` | `pip install 'motley-slayer[redshift]'`. Connection-layer code is unit-tested and has passed manually against a live Redshift Serverless endpoint (outside CI) — see [Redshift](#redshift) below. |
 | `trino` / `presto` / `athena` | `trino` or `PyAthena` | `pip install trino` or `pip install PyAthena` |
 | `databricks` / `spark` | `databricks-sql-connector` | `pip install databricks-sql-connector` |
 | `oracle` | `oracledb` | `pip install oracledb` |
@@ -148,6 +148,57 @@ Statement-level timeout is enforced via
 !!! tip
     If your database isn't listed but is supported by sqlglot, it may already work — SLayer falls back to Postgres-style SQL by default. Try it and [open an issue](https://github.com/MotleyAI/slayer/issues) if you hit a problem.
 
+### Redshift
+
+```bash
+pip install 'motley-slayer[redshift]'
+```
+
+The extra pulls in `sqlalchemy-redshift` + `redshift-connector`. Structured
+`DatasourceConfig` fields (`host`, `port`, `database`, `username`, `password`)
+build a `redshift+redshift_connector://` URL by default:
+
+```yaml
+# datasources/rs.yaml
+name: rs
+type: redshift
+host: mycluster.abc123.us-east-1.redshift.amazonaws.com
+port: 5439
+database: dev
+username: YOUR_USER
+password: YOUR_PASSWORD
+```
+
+`redshift-connector` is AWS's actively-maintained driver — it supports IAM
+auth, Redshift Serverless, and browser-based SSO in addition to plain
+username/password. To use the classic psycopg2-based dialect instead (e.g.
+for parity with an existing psycopg2 connection pool), set `connection_string`
+directly rather than the structured fields. This requires `psycopg2-binary`,
+which the `redshift` extra does not install — pull it in via the `postgres`
+extra or install it separately:
+
+```bash
+pip install 'motley-slayer[redshift,postgres]'
+```
+
+```yaml
+name: rs
+connection_string: "redshift+psycopg2://user:pass@host:5439/dev"
+```
+
+!!! warning "No native FK-based auto-ingestion join discovery (unverified)"
+    Redshift allows declaring (unenforced) `FOREIGN KEY` constraints, but
+    whether `sqlalchemy-redshift`'s Inspector surfaces them for auto-ingestion
+    to discover joins from — the way it does for Postgres / MySQL / SQLite /
+    Snowflake — has not been verified against a live cluster. Until confirmed,
+    treat Redshift like BigQuery/ClickHouse: define `joins:` manually in your
+    model YAML rather than relying on auto-discovery.
+
+!!! note "`APPROXIMATE COUNT(DISTINCT x)`"
+    Redshift's `count_distinct_approx` aggregation uses the keyword-prefix
+    form `APPROXIMATE COUNT(DISTINCT x)` rather than a native aggregate
+    function name (see [Aggregation support](../database-support.md)).
+
 ## Field Reference
 
 | Field | Type | Required | Description |
diff --git a/docs/database-support.md b/docs/database-support.md
index fa652472..6b9238df 100644
--- a/docs/database-support.md
+++ b/docs/database-support.md
@@ -32,8 +32,23 @@ testcontainers suites.
 
 Unit tests for SQL generation; no live-instance verification.
 
-Redshift, Trino/Presto (Athena uses the Presto dialect), Databricks/Spark,
-Oracle.
+Trino/Presto (Athena uses the Presto dialect), Databricks/Spark, Oracle.
+
+**Redshift** is further along than the rest of this tier: `RedshiftDialect`
+(SQL generation) has been code-covered here for a while, and the connection
+layer — `driver_map["redshift"] = "redshift+redshift_connector"`, the
+`motley-slayer[redshift]` extra, and a live integration suite
+(`tests/integration/test_integration_redshift.py`, gated on `REDSHIFT_HOST` /
+`REDSHIFT_DATABASE` / `REDSHIFT_USER` / `REDSHIFT_PASSWORD`) — now exist too.
+The suite has passed manually against a live Redshift Serverless endpoint
+(outside CI). It stays in Tier 2 rather than Tier 1 because the
+`redshift-integration` CI job (`.github/workflows/ci.yml`) has not yet run it
+against a live endpoint — CI secrets are deliberately not wired up yet, since
+the only endpoint verified so far is a personal AWS resource, and pointing CI
+at it would bill every contributor's CI run to that personal account. This
+entry should move to Tier 1 once the CI job passes at least once against a
+project-owned (non-personal) Redshift endpoint, the same skip-until-configured
+way Snowflake/BigQuery started.
 
 ## Aggregation support
 
diff --git a/examples/redshift/README.md b/examples/redshift/README.md
new file mode 100644
index 00000000..2f3bf0a5
--- /dev/null
+++ b/examples/redshift/README.md
@@ -0,0 +1,84 @@
+# Redshift example
+
+Redshift is a Tier 2 dialect (see [database support](../../docs/database-support.md)):
+`RedshiftDialect`'s SQL generation is unit-tested, and the connection layer added
+alongside this example (`motley-slayer[redshift]`, `driver_map["redshift"]`) is
+too. The connection layer has since passed manually against a live Redshift
+Serverless endpoint (outside CI) — see the CI note under Known limitations.
+Like Snowflake / BigQuery, there's no free local Docker image, so this example
+needs a real cluster or Redshift Serverless workgroup.
+
+## 1. Install the extra
+
+```bash
+pip install 'motley-slayer[redshift]'
+```
+
+The extra pulls in `sqlalchemy-redshift` + `redshift-connector`.
+
+## 2. Configure a connection
+
+```yaml
+# slayer_data/datasources/rs.yaml
+name: rs
+type: redshift
+host: mycluster.abc123.us-east-1.redshift.amazonaws.com
+port: 5439
+database: dev
+username: YOUR_USER
+password: YOUR_PASSWORD
+```
+
+Or as a connection string, using `redshift-connector` (the default driver —
+supports IAM auth and Redshift Serverless, not just password auth):
+
+```text
+redshift+redshift_connector://YOUR_USER:YOUR_PASSWORD@mycluster.abc123.us-east-1.redshift.amazonaws.com:5439/dev
+```
+
+## 3. Seed the demo schema
+
+```bash
+python ../seed.py "redshift+redshift_connector://YOUR_USER:YOUR_PASSWORD@mycluster.abc123.us-east-1.redshift.amazonaws.com:5439/dev"
+```
+
+This drops + recreates the four canonical tables (`regions`, `customers`,
+`products`, `orders`) and inserts the standard fixture dataset.
+
+## 4. Register the datasource and ingest
+
+```bash
+slayer datasources create "redshift+redshift_connector://YOUR_USER:YOUR_PASSWORD@.../dev" --name rs --ingest
+```
+
+**Redshift allows declaring `FOREIGN KEY` constraints, but they're not
+enforced, and whether they're reflected for auto-ingestion's join discovery
+is unverified against a live cluster.** Treat this like the ClickHouse /
+BigQuery examples rather than the Postgres / MySQL / Snowflake ones: assume
+joins are **not** auto-generated, and add them manually to the model YAML
+files under `slayer_data/models/` if you need cross-model rollups.
+
+## 5. Verify
+
+```bash
+python verify.py
+```
+
+`verify.py` runs the same battery used by the other examples: schema/type
+checks, aggregation matrix (`median`, `percentile`, `stddev_samp/pop`,
+`var_samp/pop`, `corr`, `covar_samp/pop`), and `count_distinct_approx` — which
+on Redshift compiles to the keyword-prefix form `APPROXIMATE COUNT(DISTINCT x)`
+rather than a native aggregate function name.
+
+## Known limitations
+
+- **No auto-discovered joins** (see step 4) — unverified either way; add
+  `joins:` manually until confirmed.
+- **Not yet CI-verified.** `tests/integration/test_integration_redshift.py`
+  has passed manually against a live Redshift Serverless endpoint, but the
+  `redshift-integration` CI job still skips — `REDSHIFT_HOST` /
+  `REDSHIFT_DATABASE` / `REDSHIFT_USER` / `REDSHIFT_PASSWORD` repo secrets are
+  deliberately not configured yet, since the only endpoint verified so far is
+  a personal one and wiring it into CI would bill every contributor's run to
+  that account. Redshift moves to Tier 1 once the job passes against a
+  project-owned endpoint.
diff --git a/examples/redshift/verify.py b/examples/redshift/verify.py
new file mode 100644
index 00000000..287b69b6
--- /dev/null
+++ b/examples/redshift/verify.py
@@ -0,0 +1,80 @@
+"""Verification script for the Redshift example.
+
+Run after seeding + ingesting:
+    python examples/seed.py "redshift+redshift_connector://user:pass@host:5439/dev"
+    slayer datasources create "redshift+redshift_connector://user:pass@host:5439/dev" --name rs --ingest
+    python examples/redshift/verify.py
+
+Redshift's FOREIGN KEY constraints are declarative-only (not enforced), and
+whether sqlalchemy-redshift's Inspector surfaces them for auto-ingestion join
+discovery is unverified against a live cluster — treated here like
+ClickHouse/BigQuery (no rollup joins expected), not like Postgres/MySQL/
+Snowflake.
+"""
+
+import os
+import sys
+
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
+from verify_common import (
+    check,
+    check_column_types,
+    check_corr_covar,
+    check_median_percentile,
+    check_rollup,
+    check_stddev_var,
+    run_common_checks,
+    summary,
+)
+
+if __name__ == "__main__":
+    models = run_common_checks()
+    check("4 models (no rollup)", len(models) == 4)
+    check_rollup(expect_rollup=False)
+    # BIGINT -> INT; VARCHAR -> TEXT; DECIMAL(10,2) -> DOUBLE; TIMESTAMP -> TIMESTAMP.
+    check_column_types(
+        model_name="orders",
+        expected_types={
+            "id": "INT",
+            "customer_id": "INT",
+            "product_id": "INT",
+            "quantity": "INT",
+            "status": "TEXT",
+            "created_at": "TIMESTAMP",
+        },
+    )
+    check_column_types(
+        model_name="customers",
+        expected_types={
+            "id": "INT",
+            "name": "TEXT",
+            "email": "TEXT",
+            "region_id": "INT",
+        },
+    )
+    check_column_types(
+        model_name="products",
+        expected_types={
+            "id": "INT",
+            "name": "TEXT",
+            "category": "TEXT",
+            "price": "DOUBLE",
+        },
+    )
+    check_column_types(
+        model_name="regions",
+        expected_types={
+            "id": "INT",
+            "name": "TEXT",
+        },
+    )
+    # RedshiftDialect (slayer/sql/dialects/_tier2.py) only overrides
+    # build_approx_count_distinct — median/percentile/stddev/var/corr/covar
+    # all fall through to the shared Postgres-shaped SqlDialect base, same as
+    # every other Tier-2 dialect. Whether that's Redshift's *native* syntax
+    # or a formula fallback is unconfirmed without a live cluster; this just
+    # checks the queries execute and return sane values either way.
+    check_median_percentile()
+    check_stddev_var()
+    check_corr_covar()
+    summary()
diff --git a/poetry.lock b/poetry.lock
index 537300cc..d0b95228 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -358,7 +358,7 @@ description = "Fast ASN.1 parser and serializer with definitions for private key
 optional = true
 python-versions = "*"
 groups = ["main"]
-markers = "extra == \"snowflake\" or extra == \"all\""
+markers = "extra == \"snowflake\" or extra == \"all\" or extra == \"redshift\""
 files = [
     {file = "asn1crypto-1.5.1-py2.py3-none-any.whl", hash = "sha256:db4e40728b728508912cbb3d44f19ce188f218e9eba635821bb4b68564f8fd67"},
     {file = "asn1crypto-1.5.1.tar.gz", hash = "sha256:13ae38502be632115abf8a24cbe5f4da52e3b5231990aff31123c805306ccb9c"},
@@ -521,11 +521,12 @@ version = "4.14.3"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.7.0"
-groups = ["dev"]
+groups = ["main", "dev"]
 files = [
     {file = "beautifulsoup4-4.14.3-py3-none-any.whl", hash = "sha256:0918bfe44902e6ad8d57732ba310582e98da931428d231a5ecb9e7c703a735bb"},
     {file = "beautifulsoup4-4.14.3.tar.gz", hash = "sha256:6292b1c5186d356bba669ef9f7f051757099565ad9ada5dd630bd9de5fa7fb86"},
 ]
+markers = {main = "extra == \"redshift\" or extra == \"all\""}
 
 [package.dependencies]
 soupsieve = ">=1.6.1"
@@ -564,7 +565,7 @@ description = "The AWS SDK for Python"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "extra == \"snowflake\" or extra == \"all\""
+markers = "extra == \"snowflake\" or extra == \"all\" or extra == \"redshift\""
 files = [
     {file = "boto3-1.43.27-py3-none-any.whl", hash = "sha256:b3eea072c2fdbbdd8c6161f912f603be10c8ec477625926dea8b91a0842a3482"},
     {file = "boto3-1.43.27.tar.gz", hash = "sha256:dc0d1b47f391983d8b3047e49402d31f9aaa4d7b398d3b4ea986fe680cbea43a"},
@@ -585,7 +586,7 @@ description = "Low-level, data-driven core of boto 3."
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "extra == \"snowflake\" or extra == \"all\""
+markers = "extra == \"snowflake\" or extra == \"all\" or extra == \"redshift\""
 files = [
     {file = "botocore-1.43.27-py3-none-any.whl", hash = "sha256:4976544e652d5a1d8eca135da019f8e1c2d749efa2f9a31a8fb8c76f1895a40b"},
     {file = "botocore-1.43.27.tar.gz", hash = "sha256:2093c316c24214e50e18640b1869513b759bb8cc48b95b004a8306cb9f0d6703"},
@@ -859,7 +860,7 @@ files = [
     {file = "charset_normalizer-3.4.7-py3-none-any.whl", hash = "sha256:3dce51d0f5e7951f8bb4900c257dad282f49190fdbebecd4ba99bcc41fef404d"},
     {file = "charset_normalizer-3.4.7.tar.gz", hash = "sha256:ae89db9e5f98a11a4bf50407d4363e7b09b31e55bc117b4f7d80aab97ba009e5"},
 ]
-markers = {main = "(extra == \"clickhouse\" or extra == \"all\" or extra == \"dbt\" or extra == \"advanced-search\" or extra == \"embedding-search\" or extra == \"snowflake\" or extra == \"bigquery\") and python_version < \"3.15\" or python_version == \"3.14\" and (extra == \"bigquery\" or extra == \"all\" or extra == \"clickhouse\" or extra == \"dbt\" or extra == \"advanced-search\" or extra == \"embedding-search\" or extra == \"snowflake\") or extra == \"clickhouse\" or extra == \"all\" or extra == \"dbt\" or extra == \"advanced-search\" or extra == \"embedding-search\" or extra == \"snowflake\""}
+markers = {main = "(extra == \"clickhouse\" or extra == \"all\" or extra == \"dbt\" or extra == \"advanced-search\" or extra == \"embedding-search\" or extra == \"snowflake\" or extra == \"redshift\" or extra == \"bigquery\") and python_version < \"3.15\" or python_version == \"3.14\" and (extra == \"bigquery\" or extra == \"all\" or extra == \"clickhouse\" or extra == \"dbt\" or extra == \"advanced-search\" or extra == \"embedding-search\" or extra == \"snowflake\" or extra == \"redshift\") or extra == \"clickhouse\" or extra == \"all\" or extra == \"dbt\" or extra == \"advanced-search\" or extra == \"embedding-search\" or extra == \"snowflake\" or extra == \"redshift\""}
 
 [[package]]
 name = "ciso8601"
@@ -2980,7 +2981,7 @@ description = "JSON Matching Expressions"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
-markers = "extra == \"snowflake\" or extra == \"all\""
+markers = "extra == \"snowflake\" or extra == \"all\" or extra == \"redshift\""
 files = [
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 semantic-router = ["semantic-router (>=0.1.12) ; python_version >= \"3.9\" and python_version < \"3.14\""]
 utils = ["numpydoc"]
 
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+cssselect = ["cssselect (>=0.7)"]
+html-clean = ["lxml_html_clean"]
+html5 = ["html5lib"]
+htmlsoup = ["BeautifulSoup4"]
+
 [[package]]
 name = "lz4"
 version = "4.4.5"
@@ -5837,7 +5989,7 @@ files = [
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 ]
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+markers = {main = "extra == \"clickhouse\" or extra == \"all\" or extra == \"dbt\" or extra == \"snowflake\" or extra == \"redshift\""}
 
 [[package]]
 name = "pywin32"
@@ -6103,6 +6255,32 @@ numpy = "*"
 [package.extras]
 dev = ["pytest"]
 
+[[package]]
+name = "redshift-connector"
+version = "2.1.15"
+description = "Redshift interface library"
+optional = true
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "extra == \"redshift\" or extra == \"all\""
+files = [
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+boto3 = ">=1.42.22,<2.0.0"
+botocore = ">=1.12.201,<2.0.0"
+lxml = ">=6.1.0,<7.0.0"
+packaging = "*"
+pytz = ">=2020.1"
+requests = ">=2.23.0,<3.0.0"
+scramp = ">=1.2.0,<1.5.0"
+setuptools = "*"
+
+[package.extras]
+full = ["numpy", "pandas"]
+
 [[package]]
 name = "referencing"
 version = "0.37.0"
@@ -6256,7 +6434,7 @@ files = [
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 ]
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+markers = {main = "(extra == \"clickhouse\" or extra == \"all\" or extra == \"dbt\" or extra == \"advanced-search\" or extra == \"embedding-search\" or extra == \"snowflake\" or extra == \"redshift\" or extra == \"bigquery\") and python_version < \"3.15\" or python_version == \"3.14\" and (extra == \"bigquery\" or extra == \"all\" or extra == \"clickhouse\" or extra == \"dbt\" or extra == \"advanced-search\" or extra == \"embedding-search\" or extra == \"snowflake\" or extra == \"redshift\") or extra == \"clickhouse\" or extra == \"all\" or extra == \"dbt\" or extra == \"advanced-search\" or extra == \"embedding-search\" or extra == \"snowflake\" or extra == \"redshift\""}
 
 [package.dependencies]
 certifi = ">=2023.5.7"
@@ -6492,7 +6670,7 @@ description = "An Amazon S3 Transfer Manager"
 optional = true
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "extra == \"snowflake\" or extra == \"all\""
+markers = "extra == \"snowflake\" or extra == \"all\" or extra == \"redshift\""
 files = [
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@@ -6504,6 +6682,22 @@ botocore = ">=1.37.4,<2.0a0"
 [package.extras]
 crt = ["botocore[crt] (>=1.37.4,<2.0a0)"]
 
+[[package]]
+name = "scramp"
+version = "1.4.15"
+description = "An implementation of the SCRAM protocol."
+optional = true
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "extra == \"redshift\" or extra == \"all\""
+files = [
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+    {file = "scramp-1.4.15.tar.gz", hash = "sha256:d25cdd3dbc493773647bccb93e4e85bbff0c091141ec8ff8d61bad1e3638082d"},
+]
+
+[package.dependencies]
+asn1crypto = ">=1.5.1"
+
 [[package]]
 name = "send2trash"
 version = "2.1.0"
@@ -6526,11 +6720,12 @@ version = "82.0.1"
 description = "Most extensible Python build backend with support for C/C++ extension modules"
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
+groups = ["main", "dev"]
 files = [
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 ]
+markers = {main = "extra == \"redshift\" or extra == \"all\""}
 
 [package.extras]
 check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.13.0) ; sys_platform != \"cygwin\""]
@@ -6700,11 +6895,12 @@ version = "2.8.3"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
 python-versions = ">=3.9"
-groups = ["dev"]
+groups = ["main", "dev"]
 files = [
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 ]
+markers = {main = "extra == \"redshift\" or extra == \"all\""}
 
 [[package]]
 name = "sqlalchemy"
@@ -6835,6 +7031,27 @@ bqstorage = ["google-cloud-bigquery-storage (>=2.18.0,<3.0.0)", "grpcio (>=1.47.
 geography = ["GeoAlchemy2", "shapely"]
 tests = ["packaging", "pytz"]
 
+[[package]]
+name = "sqlalchemy-redshift"
+version = "1.0.0"
+description = "Amazon Redshift Dialect for sqlalchemy"
+optional = true
+python-versions = ">=3.10"
+groups = ["main"]
+markers = "extra == \"redshift\" or extra == \"all\""
+files = [
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+    {file = "sqlalchemy_redshift-1.0.0.tar.gz", hash = "sha256:882964d42184604ef653ab770501e942e7f9296b537d3b138551f609d1c52860"},
+]
+
+[package.dependencies]
+packaging = "*"
+SQLAlchemy = ">=2.0.0,<3"
+
+[package.extras]
+dev = ["black", "isort"]
+tests = ["alembic", "psycopg2-binary", "psycopg2cffi", "pytest"]
+
 [[package]]
 name = "sqlglot"
 version = "30.11.0"
@@ -7413,7 +7630,7 @@ files = [
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 ]
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+markers = {main = "(extra == \"clickhouse\" or extra == \"all\" or extra == \"dbt\" or extra == \"advanced-search\" or extra == \"embedding-search\" or extra == \"snowflake\" or extra == \"redshift\" or extra == \"bigquery\") and python_version < \"3.15\" or python_version == \"3.14\" and (extra == \"bigquery\" or extra == \"all\" or extra == \"clickhouse\" or extra == \"dbt\" or extra == \"advanced-search\" or extra == \"embedding-search\" or extra == \"snowflake\" or extra == \"redshift\") or extra == \"clickhouse\" or extra == \"all\" or extra == \"dbt\" or extra == \"advanced-search\" or extra == \"embedding-search\" or extra == \"snowflake\" or extra == \"redshift\""}
 
 [package.extras]
 brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""]
@@ -7956,7 +8173,7 @@ files = [
 
 [extras]
 advanced-search = ["ladybug", "litellm", "numpy"]
-all = ["aiomysql", "asyncpg", "clickhouse-sqlalchemy", "dbt-core", "httpx", "ladybug", "litellm", "numpy", "pandas", "psycopg2-binary", "pyarrow", "pymysql", "pyodbc", "snowflake-connector-python", "snowflake-sqlalchemy", "sqlalchemy-bigquery"]
+all = ["aiomysql", "asyncpg", "clickhouse-sqlalchemy", "dbt-core", "httpx", "ladybug", "litellm", "numpy", "pandas", "psycopg2-binary", "pyarrow", "pymysql", "pyodbc", "redshift-connector", "snowflake-connector-python", "snowflake-sqlalchemy", "sqlalchemy-bigquery", "sqlalchemy-redshift"]
 bigquery = ["sqlalchemy-bigquery"]
 clickhouse = ["clickhouse-sqlalchemy"]
 client = ["httpx", "pandas"]
@@ -7965,10 +8182,11 @@ embedding-search = ["litellm", "numpy"]
 flight = ["pyarrow"]
 mysql = ["aiomysql", "pymysql"]
 postgres = ["asyncpg", "psycopg2-binary"]
+redshift = ["redshift-connector", "sqlalchemy-redshift"]
 snowflake = ["snowflake-connector-python", "snowflake-sqlalchemy"]
 sqlserver = ["pyodbc"]
 
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.11"
-content-hash = "aa61d7145c9569f852cf60d41cdc64a079de4a68ed23f50afbea30c488b96d17"
+content-hash = "68a0abcd21bebda972cd05a26153daff80ee414718c25c7027d9f8a0dd61ff01"
diff --git a/pyproject.toml b/pyproject.toml
index 9f848e62..85b9b6e5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -79,6 +79,14 @@ ladybug = {version = ">=0.1", optional = true}
 # release with SQLAlchemy 2.x support (a hard repo dep).
 snowflake-connector-python = {version = ">=3.13", optional = true}
 snowflake-sqlalchemy = {version = ">=1.7", optional = true}
+# Redshift support. sqlalchemy-redshift has no hard DBAPI dependency of its
+# own — it lazily imports whichever driver the connection URL's scheme
+# selects. redshift-connector is AWS's actively-maintained driver (IAM auth,
+# Redshift Serverless, browser-based SSO); we default the `redshift` type to
+# it (see `DatasourceConfig.get_connection_string`) rather than the
+# psycopg2-only `redshift://` form.
+sqlalchemy-redshift = {version = ">=1.0", optional = true}
+redshift-connector = {version = ">=2.1", optional = true}
 
 [tool.poetry.extras]
 client = ["httpx", "pandas"]
@@ -88,11 +96,12 @@ clickhouse = ["clickhouse-sqlalchemy"]
 sqlserver = ["pyodbc"]
 snowflake = ["snowflake-connector-python", "snowflake-sqlalchemy"]
 bigquery = ["sqlalchemy-bigquery"]
+redshift = ["sqlalchemy-redshift", "redshift-connector"]
 dbt = ["dbt-core"]
 flight = ["pyarrow"]
 advanced_search = ["litellm", "numpy", "ladybug"]
 embedding_search = ["litellm", "numpy"]  # legacy alias for advanced_search without graph support
-all = ["httpx", "pandas", "psycopg2-binary", "asyncpg", "pymysql", "aiomysql", "clickhouse-sqlalchemy", "pyodbc", "snowflake-connector-python", "snowflake-sqlalchemy", "sqlalchemy-bigquery", "dbt-core", "pyarrow", "litellm", "numpy", "ladybug"]
+all = ["httpx", "pandas", "psycopg2-binary", "asyncpg", "pymysql", "aiomysql", "clickhouse-sqlalchemy", "pyodbc", "snowflake-connector-python", "snowflake-sqlalchemy", "sqlalchemy-bigquery", "sqlalchemy-redshift", "redshift-connector", "dbt-core", "pyarrow", "litellm", "numpy", "ladybug"]
 
 [project.scripts]
 slayer = "slayer.cli:main"
diff --git a/slayer/core/models.py b/slayer/core/models.py
index 293638d6..a9b9975f 100644
--- a/slayer/core/models.py
+++ b/slayer/core/models.py
@@ -877,6 +877,18 @@ def get_connection_string(self) -> str:
             "mysql": "mysql+pymysql",
             "mariadb": "mysql+pymysql",
             "clickhouse": "clickhouse+http",
+            # Explicit rather than falling through to the bare "redshift"
+            # scheme (which sqlalchemy-redshift also registers, defaulting to
+            # its psycopg2 dialect): redshift-connector is AWS's maintained
+            # driver and the one this DBAPI-agnostic sqlalchemy-redshift
+            # setup is documented against (IAM auth, Redshift Serverless,
+            # browser SSO — psycopg2 only does password auth). Being
+            # explicit here also stops a future edit from "simplifying" this
+            # to "postgresql" — Redshift's wire protocol is Postgres-derived
+            # but its dialect (RedshiftDialect) carries real SQL differences
+            # (e.g. APPROXIMATE COUNT(DISTINCT)) that the bare postgresql
+            # dialect doesn't know about.
+            "redshift": "redshift+redshift_connector",
         }
         driver = driver_map.get(self.type, self.type)
         # Build the URL with SQLAlchemy's structured builder (issue #240)
diff --git a/tests/integration/test_integration_redshift.py b/tests/integration/test_integration_redshift.py
new file mode 100644
index 00000000..ef2560cd
--- /dev/null
+++ b/tests/integration/test_integration_redshift.py
@@ -0,0 +1,330 @@
+"""Live integration tests for Redshift.
+
+Skip-by-default: requires ``sqlalchemy-redshift`` + ``redshift-connector``
+(the ``motley-slayer[redshift]`` extra) and a real Redshift cluster/serverless
+endpoint reachable via env vars:
+
+    REDSHIFT_HOST      (required — cluster/serverless endpoint, no port)
+    REDSHIFT_PORT       (optional, default 5439)
+    REDSHIFT_DATABASE   (required)
+    REDSHIFT_USER       (required)
+    REDSHIFT_PASSWORD   (required)
+
+Redshift has no free local Docker image (unlike Postgres/MySQL/ClickHouse/
+SQL Server) and no shared local-profile convention (unlike Snowflake's
+``~/.snowflake/connections.toml``), so — like BigQuery — this suite is
+env-var-gated rather than file-gated, and skips cleanly in any environment
+without those set (including plain `pytest` runs in this repo today).
+
+Unlike the Snowflake suite, this does NOT assert on auto-ingestion's FK-join
+discovery: Redshift allows declaring (unenforced) FOREIGN KEY constraints,
+but whether SQLAlchemy's Inspector surfaces them through
+``sqlalchemy-redshift`` for auto-ingestion to pick up is unverified absent a
+live cluster. Models below define ``joins=`` explicitly instead, which
+exercises the query/rollup path regardless of that answer.
+"""
+
+import os
+import uuid
+
+import pytest
+
+# Skip the entire module if the redshift extras aren't installed.
+pytest.importorskip("redshift_connector")
+pytest.importorskip("sqlalchemy_redshift")
+
+import redshift_connector  # noqa: E402
+
+from slayer.async_utils import run_sync  # noqa: E402
+from slayer.core.enums import DataType  # noqa: E402
+from slayer.core.models import (  # noqa: E402
+    Column,
+    DatasourceConfig,
+    ModelJoin,
+    ModelMeasure,
+    SlayerModel,
+)
+from slayer.core.query import ColumnRef, SlayerQuery  # noqa: E402
+from slayer.engine.query_engine import SlayerQueryEngine  # noqa: E402
+from slayer.storage.yaml_storage import YAMLStorage  # noqa: E402
+
+_HOST = os.environ.get("REDSHIFT_HOST")
+_PORT = int(os.environ.get("REDSHIFT_PORT", "5439"))
+_DATABASE = os.environ.get("REDSHIFT_DATABASE")
+_USER = os.environ.get("REDSHIFT_USER")
+_PASSWORD = os.environ.get("REDSHIFT_PASSWORD")
+
+pytestmark = [
+    pytest.mark.integration,
+    pytest.mark.skipif(
+        not (_HOST and _DATABASE and _USER and _PASSWORD),
+        reason=(
+            "REDSHIFT_HOST/REDSHIFT_DATABASE/REDSHIFT_USER/REDSHIFT_PASSWORD not all set; skipping Redshift live tests"
+        ),
+    ),
+]
+
+
+@pytest.fixture(scope="module")
+def rs_transient_schema():
+    """Module-scoped: a uniquely-named schema created for this test run.
+    Returns the schema name. Teardown drops it with CASCADE.
+
+    Teardown safety: ``cur`` and ``schema_name`` are bound BEFORE entering
+    the try block so the finally clause can rely on them existing even when
+    early setup fails.
+    """
+    conn = redshift_connector.connect(
+        host=_HOST,
+        port=_PORT,
+        database=_DATABASE,
+        user=_USER,
+        password=_PASSWORD,
+    )
+    schema_name = f"slayer_test_{uuid.uuid4().hex[:12]}"
+    cur = conn.cursor()
+    schema_created = False
+    try:
+        cur.execute(f"CREATE SCHEMA {schema_name}")
+        schema_created = True
+        cur.execute(f"SET search_path TO {schema_name}")
+        cur.execute("""
+            CREATE TABLE regions (
+                id BIGINT PRIMARY KEY,
+                name VARCHAR(64) NOT NULL
+            )
+        """)
+        cur.execute("""
+            CREATE TABLE customers (
+                id BIGINT PRIMARY KEY,
+                name VARCHAR(128) NOT NULL,
+                email VARCHAR(256) NOT NULL,
+                region_id BIGINT
+            )
+        """)
+        cur.execute("""
+            CREATE TABLE products (
+                id BIGINT PRIMARY KEY,
+                name VARCHAR(128) NOT NULL,
+                category VARCHAR(64) NOT NULL,
+                price DECIMAL(10, 2) NOT NULL
+            )
+        """)
+        cur.execute("""
+            CREATE TABLE orders (
+                id BIGINT PRIMARY KEY,
+                customer_id BIGINT,
+                product_id BIGINT,
+                quantity BIGINT NOT NULL,
+                status VARCHAR(32) NOT NULL,
+                created_at TIMESTAMP NOT NULL
+            )
+        """)
+        cur.executemany(
+            "INSERT INTO regions VALUES (%s, %s)",
+            [(1, "US"), (2, "EU"), (3, "APAC")],
+        )
+        cur.executemany(
+            "INSERT INTO customers VALUES (%s, %s, %s, %s)",
+            [
+                (1, "Acme", "acme@example.com", 1),
+                (2, "Globex", "globex@example.com", 2),
+                (3, "Initech", "initech@example.com", 1),
+            ],
+        )
+        cur.executemany(
+            "INSERT INTO products VALUES (%s, %s, %s, %s)",
+            [
+                (1, "Widget", "tools", 9.99),
+                (2, "Gadget", "tools", 19.99),
+                (3, "Doohickey", "novelty", 4.99),
+            ],
+        )
+        cur.executemany(
+            "INSERT INTO orders VALUES (%s, %s, %s, %s, %s, %s)",
+            [
+                (1, 1, 1, 2, "completed", "2024-01-15 10:00:00"),
+                (2, 1, 2, 1, "completed", "2024-01-20 11:00:00"),
+                (3, 2, 3, 5, "pending", "2024-02-10 09:00:00"),
+                (4, 2, 1, 3, "completed", "2024-02-15 14:00:00"),
+                (5, 3, 2, 1, "cancelled", "2024-03-01 08:00:00"),
+                (6, 3, 3, 4, "pending", "2024-03-10 16:00:00"),
+            ],
+        )
+        conn.commit()
+        yield schema_name
+    finally:
+        if schema_created:
+            try:
+                cur.execute(f"DROP SCHEMA IF EXISTS {schema_name} CASCADE")
+                conn.commit()
+            except Exception:
+                # Don't mask the original error if setup failed mid-way.
+                pass
+        try:
+            cur.close()
+        except Exception:
+            pass
+        conn.close()
+
+
+@pytest.fixture
+def rs_datasource(rs_transient_schema: str) -> DatasourceConfig:
+    return DatasourceConfig(
+        name="rs_test",
+        type="redshift",
+        host=_HOST,
+        port=_PORT,
+        database=_DATABASE,
+        username=_USER,
+        password=_PASSWORD,
+        schema_name=rs_transient_schema,
+    )
+
+
+@pytest.fixture
+def rs_storage_with_models(rs_datasource: DatasourceConfig, tmp_path):
+    """YAMLStorage with the four standard models pre-saved, joins declared
+    explicitly (see module docstring)."""
+    storage = YAMLStorage(base_dir=str(tmp_path))
+    run_sync(storage.save_datasource(rs_datasource))
+
+    orders = SlayerModel(
+        name="orders",
+        sql_table=f"{rs_datasource.schema_name}.orders",
+        data_source="rs_test",
+        default_time_dimension="created_at",
+        columns=[
+            Column(name="id", sql="id", type=DataType.INT, primary_key=True),
+            Column(name="customer_id", sql="customer_id", type=DataType.INT),
+            Column(name="product_id", sql="product_id", type=DataType.INT),
+            Column(name="quantity", sql="quantity", type=DataType.INT),
+            Column(name="status", sql="status", type=DataType.TEXT),
+            Column(name="created_at", sql="created_at", type=DataType.TIMESTAMP),
+        ],
+        joins=[
+            ModelJoin(target_model="customers", join_pairs=[["customer_id", "id"]]),
+            ModelJoin(target_model="products", join_pairs=[["product_id", "id"]]),
+        ],
+    )
+    customers = SlayerModel(
+        name="customers",
+        sql_table=f"{rs_datasource.schema_name}.customers",
+        data_source="rs_test",
+        columns=[
+            Column(name="id", sql="id", type=DataType.INT, primary_key=True),
+            Column(name="name", sql="name", type=DataType.TEXT),
+            Column(name="email", sql="email", type=DataType.TEXT),
+            Column(name="region_id", sql="region_id", type=DataType.INT),
+        ],
+        joins=[
+            ModelJoin(target_model="regions", join_pairs=[["region_id", "id"]]),
+        ],
+    )
+    products = SlayerModel(
+        name="products",
+        sql_table=f"{rs_datasource.schema_name}.products",
+        data_source="rs_test",
+        columns=[
+            Column(name="id", sql="id", type=DataType.INT, primary_key=True),
+            Column(name="name", sql="name", type=DataType.TEXT),
+            Column(name="category", sql="category", type=DataType.TEXT),
+            Column(name="price", sql="price", type=DataType.DOUBLE),
+        ],
+    )
+    regions = SlayerModel(
+        name="regions",
+        sql_table=f"{rs_datasource.schema_name}.regions",
+        data_source="rs_test",
+        columns=[
+            Column(name="id", sql="id", type=DataType.INT, primary_key=True),
+            Column(name="name", sql="name", type=DataType.TEXT),
+        ],
+    )
+    for m in (orders, customers, products, regions):
+        run_sync(storage.save_model(m))
+    yield storage
+
+
+# ---------------------------------------------------------------------------
+# Smoke tests
+# ---------------------------------------------------------------------------
+
+
+def test_basic_query(rs_storage_with_models) -> None:
+    """SELECT sum(quantity) FROM orders — minimum smoke for the engine path,
+    exercising the redshift-connector driver end to end."""
+    engine = SlayerQueryEngine(storage=rs_storage_with_models)
+    result = run_sync(
+        engine.execute(
+            SlayerQuery(
+                source_model="orders",
+                measures=[ModelMeasure(formula="quantity:sum")],
+            )
+        )
+    )
+    rows = result.data
+    assert len(rows) == 1
+    # 6 orders, quantities 2+1+5+3+1+4 = 16
+    val = next(iter(rows[0].values()))
+    assert int(val) == 16
+
+
+def test_query_with_dimension(rs_storage_with_models) -> None:
+    """Group-by status; assert 3 status groups."""
+    engine = SlayerQueryEngine(storage=rs_storage_with_models)
+    result = run_sync(
+        engine.execute(
+            SlayerQuery(
+                source_model="orders",
+                dimensions=[ColumnRef(name="status")],
+                measures=[ModelMeasure(formula="*:count")],
+            )
+        )
+    )
+    rows = result.data
+    statuses = {row.get("orders.status") for row in rows}
+    assert statuses == {"completed", "pending", "cancelled"}
+
+
+def test_rollup_join_via_explicit_joins(rs_storage_with_models) -> None:
+    """Cross-model measure: orders.customers.regions.name (multi-hop join).
+
+    Seed data: customers 1+3 live in US, customer 2 lives in EU, region 3
+    (APAC) has no customers — and the LEFT JOIN chain starts at orders, so
+    APAC never surfaces. Exercising orders -> customers -> regions correctly
+    yields exactly {US, EU}."""
+    engine = SlayerQueryEngine(storage=rs_storage_with_models)
+    result = run_sync(
+        engine.execute(
+            SlayerQuery(
+                source_model="orders",
+                dimensions=[ColumnRef(name="customers.regions.name")],
+                measures=[ModelMeasure(formula="quantity:sum")],
+            )
+        )
+    )
+    rows = result.data
+    region_names = {row.get("orders.customers.regions.name") for row in rows}
+    assert region_names == {"US", "EU"}
+
+
+def test_approx_count_distinct_uses_approximate_keyword(rs_storage_with_models) -> None:
+    """RedshiftDialect.build_approx_count_distinct emits the keyword-prefix
+    form ``APPROXIMATE COUNT(DISTINCT x)`` rather than a native aggregate
+    function name — this is the one Tier-2 SQL-shape quirk this dialect
+    encodes (slayer/sql/dialects/_tier2.py). 3 distinct customer_ids across
+    6 orders."""
+    engine = SlayerQueryEngine(storage=rs_storage_with_models)
+    query = SlayerQuery(
+        source_model="orders",
+        measures=[ModelMeasure(formula="customer_id:count_distinct_approx")],
+    )
+    dry_run_result = run_sync(engine.execute(query, dry_run=True))
+    assert "APPROXIMATE COUNT(DISTINCT" in dry_run_result.sql
+
+    result = run_sync(engine.execute(query))
+    rows = result.data
+    assert len(rows) == 1
+    val = next(iter(rows[0].values()))
+    assert int(val) == 3
diff --git a/tests/test_models.py b/tests/test_models.py
index 48f4bfac..0672cbd3 100644
--- a/tests/test_models.py
+++ b/tests/test_models.py
@@ -1328,6 +1328,41 @@ def test_password_without_username_is_dropped(self) -> None:
         assert url.host == "db.example"
         assert url.database == "analytics"
 
+    def test_redshift_connection_string_uses_redshift_connector_driver(self) -> None:
+        # Explicit driver_map entry (not the bare "redshift" scheme, which
+        # sqlalchemy-redshift also registers but defaults to psycopg2 —
+        # password-auth only). redshift-connector supports IAM auth and
+        # Redshift Serverless, which is what docs/configuration/datasources.md
+        # documents as the intended driver.
+        ds = DatasourceConfig(
+            name="test",
+            type="redshift",
+            host="mycluster.abc123.us-east-1.redshift.amazonaws.com",
+            port=5439,
+            database="dev",
+            username="user",
+            password="pass",  # NOSONAR(S2068) — test-only fixture credential, not a real secret
+        )
+        cs = ds.get_connection_string()
+        assert cs.startswith("redshift+redshift_connector://")
+        url = make_url(cs)
+        assert url.host == "mycluster.abc123.us-east-1.redshift.amazonaws.com"
+        assert url.port == 5439
+        assert url.database == "dev"
+        assert url.username == "user"
+        assert url.password == "pass"  # NOSONAR(S2068) — test-only fixture credential, not a real secret
+
+    def test_redshift_explicit_connection_string_bypasses_driver_map(self) -> None:
+        # A caller who wants the psycopg2 dialect explicitly (or the bare
+        # "redshift" scheme) can still do so via `connection_string` —
+        # driver_map only applies when building the URL from structured
+        # fields.
+        ds = DatasourceConfig(
+            name="test",
+            connection_string="redshift+psycopg2://user:pass@host:5439/dev",
+        )
+        assert ds.get_connection_string() == "redshift+psycopg2://user:pass@host:5439/dev"
+
 
 class TestTimeGranularity:
     def test_period_start_week(self) -> None: