Michael Willekes is a seasoned software engineering leader and current Director of Data & Insights with 20+ years of experience and a B.Eng in Computer Engineering, known for turning ML research into production-grade, cloud-native systems. He has led cross-functional data organizations and engineering teams at companies from startups to enterprises—driving migrations to Snowflake, implementing DataOps practices, and shipping serverless AI/ML-backed products in AWS. Comfortable coding across the stack, Michael blends hands-on contributions in Java, Python, Elasticsearch and Spark with strategic responsibilities like budgeting, vendor negotiations, and SLT-level metric design. He’s repeatedly accelerated delivery velocity—reducing data feature lead times from days to minutes—and brought first-of-kind cloud deployments into regulated environments. Based in Old Toronto, he pairs deep research integration experience with practical product instincts, often mentoring other engineering leaders and seeding lasting process improvements.
15 years of coding experience
24 years of employment as a software developer
Bachelor of Engineering (BEng) Computer Engineering, Bachelor of Engineering (BEng) Computer Engineering at McMaster University
Contributions:4 PRs, 18 pushes, 3 branches in 1 month
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