I’m a Senior Analytics Engineer working across modern data stacks, focusing on building reliable, scalable, and well-modelled data systems that help teams make better decisions. My work sits at the intersection of data engineering and analytics, with a strong emphasis on dbt, cloud data warehouses, and pragmatic data modelling that prioritises clarity, performance, and long-term maintainability.

This blog is a space where I share practical insights from real-world projects, patterns I’ve found useful, and lessons learned while working with data teams. The goal is to keep things grounded and applicable, with less emphasis on theory for its own sake and more focus on what actually works when building and maintaining analytics systems in production environments.