Why data engineering?
I enjoy connecting the full process: collecting raw data, cleaning it, designing storage, automating workflows and turning the result into something reliable and useful.
About me
A practical route into data engineering.
After several years in the insurance industry, I decided to move toward the technical work I genuinely enjoyed. I began learning Python and SQL, but instead of stopping at tutorials, I focused on building systems around real problems faced by people around me.
How I work
I prefer practical projects with visible outcomes. My portfolio includes job intelligence systems, property analytics and automated data collection platforms deployed on a Linux VPS.
Previous experience
My insurance background taught me how to understand stakeholder needs, manage operational details, communicate clearly and take responsibility for work that affects real people.
Current direction
I am continuing to strengthen my skills in cloud data engineering, orchestration, infrastructure and production-ready pipeline design.