REST API Data Pipeline

A production-pattern data pipeline that consumes a public REST API, handles pagination, rate limiting, and error recovery, then loads the cleaned data into a structured relational database on an automated schedule.

API data requires defensive engineering — handling failures gracefully, managing pagination, transforming nested JSON into flat relational structures, and ensuring idempotent loads that can run repeatedly without duplicating data.

Built a modular Python pipeline with separated extract, transform, and load layers. Implemented retry logic and exponential backoff for API resilience. JSON responses are flattened and validated before insertion into PostgreSQL. A scheduler ensures the pipeline runs on a defined cadence with full observability logging.

A fully operational, repeatable data pipeline demonstrating real-world engineering standards. Directly applicable to freelance data engineering work where API integrations are among the most requested services on Upwork.