If you need reliable crypto market data (for analytics, dashboards, or automation), I can build a clean Python pipeline that ingests, cleans, stores, and exports datasets in a reproducible way.
What I can build
- Ingestion: OHLCV / trades / funding / open interest (depending on source)
- API reliability: retries, timeouts, rate-limit handling, backoff
- Cleaning + normalization + time alignment across symbols/timeframes\n- Storage: Parquet / CSV / SQLite / Postgres (your choice)\
- Feature layer: indicators + custom features + sanity checks\n- Incremental updates (daily/hourly) with state persistence
- Logging + simple health checks
Deliverables
- Python repo with modular structure (connectors / storage / features / runner)
- Config-driven scripts + example configs\n- README (setup + how to run + how to extend)
- Sample export + example usage
What I need from you
- Assets/symbols + target exchanges/data source
- Output format (Parquet/CSV/DB) + update frequency
- Any specific fields/features you need
