Business analytics senior at USF, graduating December 2026, looking for my first data engineering/analytics role (resume). At Giraux Fine Jewelry, I'm the Technical Lead & E-commerce Manager. I build the Shopify storefront, Python product-data pipelines and booking integrations.
What I work with: SQL, Python, dbt, DuckDB, PostgreSQL, pandas, scikit-learn, XGBoost, R, Tableau, Shopify, Liquid, JavaScript, Cloudflare Workers/R2, Vercel
Outside of work: lifting, and keeping tabs on San Francisco, which is where two of the projects below came from.
- Giraux Shopify and media platform. Employment work spanning Liquid themes, booking and product media. I built the NetSuite-to-Shopify pipeline for a historical import of 849 products and 859 variants and migrated 476,851 media files to Cloudflare Workers and R2. The historical spin-viewer comparison showed 97% less page weight. Production code belongs to Giraux.
- SF Muni Equity Tracker: An analysis of 28.7 million modeled delay observations joined to census tract income. Routes through the poorest tracts average 2.6 times the delay of the richest. Most of that gap is 3 cable cars, though. Live map.
- SF Accountability Ledger: 12 reporting deadlines San Francisco wrote into its own laws, assessed against primary sources. It scores filed and findable separately. Recurring checks are paused.
- gtm-warehouse: a dbt warehouse on DuckDB over my own cold outreach data. SCD type 2 lead history, a late-arriving reply fact, 76 data tests, and a synthetic dataset so anyone can run it.
- aidep: Dependabot for AI APIs. Finds deprecated model and API usage in a repo and opens the migration PR.


