Christopher Luciuk is a Senior Data Engineer with nine years of experience building end-to-end data and ML products, currently leading data efforts at Homebase after scaling Butter Payments' analytics and ML platform. He specializes in streaming and batch ETL, analytics engineering, and production ML deployments, having designed Butter’s foundational data models and real-time pipelines that processed millions of transactions daily and drove measurable business impact. A former R&D and ML developer at Kinaxis and ex-Head of Data Science at Insight, he pairs hands-on engineering with product-minded leadership and mentorship. Christopher holds a PhD in experimental physics and brings a strong research background to pragmatic data engineering—translating complex signals and experiments into reliable, production-grade data products.
8 years of coding experience
14 years of employment as a software developer
Bachelor of Science (B.Sc.) Physics, Bachelor of Science (B.Sc.) Physics at The University of British Columbia
Doctor of Philosophy (PhD) Physics, Doctor of Philosophy (PhD) Physics at University of Toronto
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