Summary
Will Canniford is a Staff Analytics Engineer with nine years’ experience building reliable, production-facing analytics and ETL systems across fast-moving tech and betting businesses. He led dbt adoption and designed the core semantic layer on Redshift at Smarkets, and at Deliveroo drives analytics engineering at scale while shipping self-serve dashboard suites and automated data products. Skilled in SQL, data modelling and complex ETL (SQL Server, Python), he translates messy sources into single-customer views and actionable metrics that improve marketing and operational decisions. His background in Human Genetics at UCL seeded an early proficiency with R for large biological datasets, which evolved into a broader passion for simulation and visualisation. Through his VizBadger platform and GitHub/Kaggle projects he explores sports analytics, Monte Carlo simulation and interactive visualisations, blending engineering rigor with playful experimentation. Colleagues rely on him to tame complex data landscapes and deliver dependable, well-documented pipelines that democratise insight.
9 years of coding experience
7 years of employment as a software developer
University College London