Python Financial Market Data Pipeline

Seeking an experienced Python developer to build a reliable financial market update system. The work includes downloading historical and current market data from free sources, covering stock indices, forex, cryptocurrencies, commodities, precious metals, bonds, and volatility indices. The pipeline should support 4H, 1D, and 1W timeframes, standardize data into OHLCV format with UTC timestamps, validate data quality, enhance with technical indicators and store results in Supabase. The solution should be automated via GitHub Actions, include logging and error handling, and provide clear technical documentation. Deliverables include a fully automated, documented pipeline. Please share relevant experience, estimated timeline, and budget.