🧠 Feature Store Simulator

A fully modular, production-like Feature Store framework built from scratch — supporting batch and real-time feature engineering, metadata tracking, and feature serving.

🧩 Core Components

• Feature Registry: PostgreSQL with FastAPI API for registering and managing features
• Offline Store: Parquet files (via PySpark) for batch feature generation and backfills
• Online Store: Redis for real-time feature serving
• Materialization Tracker: Auto-updates feature freshness + writes logs
• Feature Syncer: Moves batch features to Redis after materialization
• Monitoring: Prometheus + Grafana dashboard integration
• Time-Travel Retrieval: Point-in-time feature lookups for safe ML training

🔁 How to Use

make up             # Start Postgres + Redis + Spark
make serve          # Run FastAPI on http://localhost:8000
make sync           # Sync features to Redis
make test           # Run all unit tests