Siddharth Chauhan

Current work spans data engineering and architecture at Macro Evidence, focused on open macroeconomic data infrastructure. I maintain Macro Data Observatory (MDO), its flagship and foundational platform.

Computer Science and Engineering undergraduate (B.Tech expected 2027). Technical work spans Python ETL pipelines, relational data modeling, PostgreSQL persistence with SQLAlchemy, data-quality validation, automated tests, and continuous integration across World Bank, IMF, and FRED ingestion workflows.

Dr. A.P.J. Abdul Kalam Technical University

Lucknow, Uttar Pradesh, India

Macro Evidence

• Design and maintain Macro Data Observatory’s ingestion pipelines, relational data model, persistence, validation, testing, and CI.
• Implement source and pipeline changes across World Bank, IMF, and FRED data, with reproducible transformations and validation before load.
• Document non-trivial technical decisions through versioned ADRs and keep project documentation aligned with implementation.

Open-source macroeconomic data infrastructure · GitHubgithub.com/macro-evidence/macro-data-observatory

• Modular ingestion pipelines for macroeconomic indicators from the World Bank, IMF, and Federal Reserve Economic Data (FRED).
• Series-first relational modeling with PostgreSQL persistence through SQLAlchemy and a structured transformation layer.
• Data-quality validation before load, including structural checks for source data.
• Automated testing with Pytest and continuous integration through GitHub Actions.