What I do: Pipelines, dbt models, and dashboards that hold up under scrutiny. SQL, Python, Airflow, Snowflake, dbt, Power BI, Tableau.
What that's been worth:
- Rebuilt a pipeline over 1.4M+ records — 70% faster
- Automated validation on every load — 70% fewer data errors
- Self-service reporting for 10 users across 3 clients — 20 hrs/week returned
- Python automation against a support API — $40K/month saved
- Shipped a 5-agent system to production, plus the evaluation layer that made it safe to run unattended
Now: Analytics & AI Engineer @ DataCEVA. M.S. Business Analytics, DePaul (3.9).
Learning: Databricks, LangChain, Hugging Face.
Ask me about: dbt model layering, why your AI-generated SQL is confidently wrong, data quality that catches problems before stakeholders do.


