Analytic Engineer • Data Infrastructure Builder • Artist-Adjacent Technologist
New York City, NY
10+ years in data management. 3+ years designing and building reliable, scalable data systems. Marketing analytics specialty — I've built pipelines, tracking infrastructure, and reporting systems across nonprofit, retail, pharma, and now hospitality. I architect multi-layer database systems and model data for downstream consumption that answers real questions.
| Area | Status | Progress |
|---|---|---|
| 🟢 Active | ████░░░░░░ 40% | |
| 🤖 Hospitality AI Agent | 🟡 Learning | ██░░░░░░░░ 20% |
Languages & Query
Data Platforms & Warehousing
Analytics & BI
Cloud & Infrastructure
Data Engineering & Modeling
Tools
A decision-support tool that predicts flight disruption risk and recommends whether to cancel a flight based on risk, refund value, and timing.
Python Supabase Postgres REST APIs GitHub Actions Risk Modeling
Full-stack reservation system with OLTP/OLAP separation — Supabase for bookings, Redis for seat locking, Snowflake for analytics.
FastAPI Supabase Redis Snowflake Vercel HTML
AI-assisted data ingestion pipeline extracting entertainment press contacts from unstructured web sources using LLM-based extraction.
Python Firecrawl Snowflake dbt Airflow
I live in the Data & AI district. Come visit my building
I chose Data & AI after looking at what my projects actually demonstrate: API ingestion, OLTP/OLAP separation, cloud storage, decision modeling, and Medallion architecture. The through-line was clear.
"Demos > Decks."
I build real systems under real constraints. Hands-on output over certifications and abstract study — every time.
"I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes." — Joanna Maciejewska
Mathematician by training. Data engineer by trade. Artist-adjacent by choice.
B.A.Sc. Computational & Applied Mathematics — The City College of New York