Harvard Art Museums Data Engineering

This is a complete data engineering starter project that walks you through building ETL pipelines with real museum data from Harvard's API. You get the full stack: API pagination with rate limiting, transformation of nested JSON into normalized MySQL tables with proper foreign keys, 20+ analytical SQL queries, and a Streamlit dashboard with Plotly visualizations. The repo includes ready-to-use code for extracting artifact metadata, images, and color data, then loading it into relational tables. It's genuinely useful if you're learning data engineering patterns or need a working example of museum/cultural heritage data pipelines to adapt for your own projects.

Install to Claude Code

npx -y skills add aradotso/data-skills --skill harvard-art-museums-data-engineering --agent claude-code