Data Engineering
Feeder.co Live and Historical Data Integration
June 24, 2025 – October 6, 2025
Key Technologies
Python 3.10+asyncioWebSocketaiohttpPostgreSQLSQLiteMongoDBJSON
Key Achievements
- Delivered a reliable and scalable solution for real-time and historical data ingestion and storage, supporting critical data analysis.
Role & Contributions
Developed a lightweight Python application to establish a robust data pipeline. This involved downloading historical feed data from Feeder.co, listening to live feed updates via WebSocket, and efficiently storing the normalized results into a query-optimized database (PostgreSQL, SQLite, or ClickHouse).