About
Data analytics engineer working across the full stack — from raw source to the dashboard someone opens on a Monday morning.
I'm a data analytics engineer who builds end-to-end data products — from ingestion and transformation through to the models, dashboards and reports teams actually use. I work primarily in Python and SQL, with a strong focus on reporting and BI in Power BI, and I care about delivering things that are reliable and measurable, not just clever.
In my current role I work with multi-million row datasets across several clients, rebuilding and optimising ETL pipelines and deploying them on Azure. I design the database logic and APIs that keep data flowing reliably, and I build the Power BI dashboards and reporting layers that drive day-to-day decisions — owning the full lifecycle from scoping the problem to designing the data model, implementing, testing and iterating on feedback.
Alongside the engineering, I've delivered a range of machine learning and analytics projects spanning supervised learning, clustering, deep learning and NLP. I enjoy working closely with business and technical stakeholders, turning open questions into well-defined problems and concrete solutions — whether that means re-architecting a pipeline, building a model or mentoring a junior analyst.