Horse Breeding Insights Dashboard | Next, Supabase, Node, TS, ShadcnUI

Python-scraped (data streams) unstructured JSON data from SQLite into Supabase via node (ts) modular ETL pipelines. Engineered normalized schemas, caching layers, indexed views, and optimized data models. Implemented dynamic filtering on a fully type-safe Next (ts) frontend using ShadcnUI and Tailwind, with CI/CD on Vercel. Delivered comprehensive documentation, including technical specs, system architecture, and ER diagrams. Included advanced features like real-time sync, role-based access, and query performance tuning.