Kevin Charette is a Staff Data Developer based in Montreal with nine years of experience turning petabytes of raw data into actionable experimentation platforms and business insights. At Shopify he progressed from Data Scientist to Staff Data Developer, leading the build-out of scalable ETL, experimentation systems, and Kafka event integrations that power product decisions. He blends strong statistical rigor (M.Sc. in Statistics) with hands-on engineering—Spark/PySpark pipelines, optimized SQL across Presto/Redshift/Impala, and Ruby on Rails event coding. Kevin has managed and mentored teams, launched A/B frameworks, and simplified LTV and anomaly-detection models to reduce revenue risk. Known for making complex systems practical, he thrives at the intersection of data science, platform engineering, and product impact. A detail that often surprises collaborators: he pairs deep academic training (near-perfect grades) with real-world delivery across both analytics and core engineering.
9 years of coding experience
7 years of employment as a software developer
Baccalauréat, Mathématiques et statistiques, Moyenne générale: 3.95/4.3, Baccalauréat, Mathématiques et statistiques, Moyenne générale: 3.95/4.3 at Université de Montréal
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