I'm a Data Analytics Engineer focused on the space between raw data and confident decisions. Over the years I've moved from spreadsheets and one-off reports to building governed, tested data models and self-service analytics on the modern data stack.

My day-to-day is SQL, Python, and dbt on cloud warehouses like BigQuery, feeding dashboards in Power BI and Looker Studio. I care about correctness, performance, and clarity — a dashboard is only valuable if people trust the number and understand what it means.

This site is where I share what I learn: practical tutorials, case studies, and notes on analytics engineering, BI, and the craft of turning data into decisions.