Software engineer with a growing focus on data engineering — AWS pipelines, backend systems, and real-time streaming. I've worked end-to-end across ingestion, transformation, warehousing, and delivery, including an on-site client engagement in Lusaka, Zambia, gathering requirements directly from stakeholders.
I pick up new stacks quickly and enjoy working at the intersection of data, cloud infrastructure, and automation.
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Currently building AWS-native pipelines, multi-tenant backend systems, and lakehouse architectures Currently learning Streaming systems (Kafka, Flink) and the modern data stack (dbt, Iceberg) |
Education B.E. Computer Engineering, TCET Mumbai — CGPA 9.76 / 10 Recognition Medium writing on Kafka, Airflow, Flink, and Iceberg recognized by the VP of Confluent and Field CTO of Snowflake |
Languages & Data
Cloud & DevOps
Databases & BI
Web
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YouTube Trending Data Pipeline End-to-end AWS pipeline ingesting the YouTube Data API and Kaggle datasets into S3, structured with medallion architecture (bronze, silver, gold). Orchestrated with Step Functions, visualized in QuickSight.
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Databricks and Delta Lake pipeline with CDC-style incremental upserts, dbt silver-layer transformations, and a star-schema gold layer for BI — orchestrated with Airflow.
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Infrastructure-as-Code module library for AWS S3 and IAM across AWS and GCP — cut environment provisioning from hours to under 10 minutes.
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Data engineering utilities for working with materialized views.
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I write about Kafka, Airflow, Flink, and the modern data stack on Medium — work recognized by Tim Berglund (VP, Confluent) and Jason Hughes (Field CTO, Snowflake).
