Summary
Michael Jalkio is a data engineer with 11 years of experience focused on building reliable, privacy-aware data platforms and ML pipelines, currently working on Generative AI infrastructure at Meta. He has a proven track record across startups and large enterprises—designing data lakes, migrating warehouses, and implementing ETL best practices using tools like dbt, Terraform, Snowflake, and SageMaker. Michael blends hands-on engineering with teaching and consulting experience, having developed a graduate data engineering course and led cloud architecture engagements at AWS for nonprofits and regulated workloads. He’s delivered measurable cost and performance improvements (including multix speedups in Spark jobs) and has supported high-profile projects like an AI-powered Smithsonian installation. Based in San Diego, he consistently focuses on operational excellence, data governance, and making technology accessible to broaden opportunity.
12 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Cornell University
English