"I flow but I'm not water. I'm raw until refined. I'm worthless until structured, then gold is what you'll find."

about

The Short Version

Awarded a First-Class Honours Master's degree in Data Science from the University of Surrey, presented at graduation by HRH The Duke of Kent. That piece of paper opened doors. What keeps them open is the work.

Data engineering isn't glamorous. It's the infrastructure nobody sees until it breaks. I build the pipelines, the architecture, the systems that turn messy, scattered data into something an organisation can actually use. No shortcuts. No duct tape. Clean, scalable, reliable.

what I do

Solving the Hard Problems

Every dataset tells a story, but most of the time it's buried under noise, inconsistencies, and years of "we'll fix it later." I design and build the data infrastructure that cuts through that chaos. ETL pipelines that actually scale. Query performance that doesn't make you wait. Architecture that grows with the business, not against it.

The real value isn't in collecting data. Everyone collects data. The value is in making it usable, trustworthy, and fast. That's the riddle I solve, every single day.

where it's heading

Data Meets AI

The line between data engineering and AI is getting thinner. Good models need great data, and great data needs someone who understands the full picture. I'm building at that intersection. Designing pipelines that don't just move data but prepare it for machine learning, feeding AI systems with clean, structured, production-ready inputs.

The future isn't data or AI. It's both. And the engineers who understand that will be the ones shaping it.

skills & tools