Bio
I studied economics and management in a double degree between Edinburgh Napier University and Universite Sorbonne Paris Nord, then completed an MSc in Business Analysis and Consulting at the University of Strathclyde in Glasgow, where I was trained in operational research and cognitive mapping methods.
My path into data and IT started in a university library in Paris, where I stumbled on technical analysis of financial markets. The idea that recurring patterns in price data could reflect herd behaviour — and that those patterns could be modelled — stuck with me. It connected with a teenage fascination for Isaac Asimov’s psychohistory: the notion that large-scale human behaviour might be understood through data. I started using charting software (MetaStock), quickly felt limited by it, and decided to learn to code so I could work with raw data on my own terms. That led me to IT and development roles, data science and eventually to data engineering.
Over twelve years I moved from business analysis and application support into data science, then into building and running cloud data platforms. Most recently I led a data engineering team at GeoPost, designing and operating a lakehouse on open-source technologies. I am now deepening my expertise in Microsoft Azure — I passed the Fabric Data Engineer Associate certification in early 2026 — and working on cloud-based analytics projects while looking for my next professional challenge in France or Thailand.
Interests
Outside of work, I read a lot of science fiction and fantasy. I actively trade equity and index markets on weekly and monthly timeframes, combining semi-automated signals with visual chart analysis — a continuation of the curiosity that got me into data in the first place. I apply cognitive mapping to both professional problems and personal thinking, a habit that started at Strathclyde and never stopped. When I can, I hike — the Pyrenees in southern France are a favourite.
Blog
Articles on data engineering, analytics, and lessons learned along the way. Coming soon.
Notes
Short technical notes, snippets, and references for future use. Coming soon.
Portfolio
Selected repositories and projects I want to highlight. Coming soon.