Data Engineer with 4+ years of experience building data warehouses and infrastructure. I've worked across the full stack - from raw ingestion and warehouse modeling to BI tooling and IaC.
Currently at Booksy, where I design and maintain the data platform powering a global beauty marketplace. My day-to-day involves dbt models, Airflow DAGs, BigQuery, and Terraform - with a focus on reliability, observability, and making data easy to use for the people who depend on it.
On the side, I love building tools and automations which make your daily work easier.
DataStack Radar — Changelog monitoring for the data stack. Watches official releases and GitHub for 26 data tools every 6 hours, classifies changes as breaking/warning/info using AI, and sends a plain-English digest so you don't miss the one line in a migration guide that breaks your DAGs.
DBML Visualizer — Browser-based ER diagram viewer for DBML schemas. Upload a file, paste contents, or embed at build time. No backend required.
LookMate — Python linter for LookML. Catches naming issues, missing descriptions, and structural mistakes in Looker views and measures before they hit production. Plugs into pre-commit with one line.
git-nudge — Lightweight automation tool that reminds your team about stale PRs and MRs via Slack. Because code reviews don't review themselves.
- Google Professional Data Engineer
- Astronomer Certification for Apache Airflow 3 Fundamentals
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Power BI Data Analyst Associate
- Microsoft Certified: Azure Data Fundamentals
- Microsoft Certified: Azure AI Fundamentals
- Microsoft Certified: Azure Fundamentals
- Google Data Analytics Certificate


