The Story
How I got here, and what drives my work
I started as a Data Analyst, building dashboards that helped teams move from guessing to knowing. That role taught me something crucial: dashboards are only as good as the plumbing behind them.
So I moved into analytics engineering — building pipelines, enforcing quality, and designing infrastructure that scales. I began doing more wwork Python, DBT, Airflow, and cloud platforms. More importantly, I learned what separates "it works" from "it works reliably when everything breaks."
Now I'm focused on automation: using LLMs, low-code tools, and scripts to build analytical AI sytems that eliminate manual work that shouldn't be manual. Generating reports, validating data, translating business requirements into SQL — these are perfect candidates for automation, freeing people to do actual thinking.
What I do best: turn ambiguity into systems. Messy data into reliable pipelines. Scattered reporting into a single source of truth. Repetitive workflows into automated ones. That's where I add the most value.