This skill enables AI agents to build end-to-end data engineering and analytics applications using the Harvard Art Museums API. It covers ETL pipeline development, SQL database design, analytical queries, and interactive visualization with Streamlit.
What This Project Does
The Harvard Artifacts Collection Data Engineering Analytics App demonstrates:
API Integration
Fetch artifact metadata from Harvard Art Museums API with pagination and rate limiting
ETL Pipelines
Extract, transform, and load nested JSON data into relational SQL tables
SQL Analytics
Store structured data in MySQL/TiDB Cloud with proper schema design
Interactive Dashboards
Build Streamlit applications with dynamic query execution and Plotly visualizations
Real-world Patterns
Simulate production data workflows used in analytics and data engineering roles
Installation
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Installs
550
Repository
aradotso/data-skills
GitHub Stars
1
First Seen
May 23, 2026
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