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Cloud-Native Market Data Engine

A high-throughput, cloud-native market-data ingestion and distribution engine built with Python 3.11, FastAPI, and TimescaleDB. Handles real-time tick data, OHLCV aggregation, and serves pricing microservices via async REST and WebSocket endpoints.

Architecture

  • Ingestion layer: async producers consuming exchange feeds and vendor APIs
  • Storage: TimescaleDB for time-series, Redis for hot-path caching
  • API: FastAPI with SQLAlchemy async, Pydantic v2 validation
  • Deployment: Kubernetes, GitHub Actions CI/CD

Key Features

  • Sub-millisecond write latency at scale
  • Configurable retention and compression policies
  • Instrument normalisation across multiple data vendors
  • Full audit trail for regulatory reporting