Ethan Vizitei is a research engineer and seasoned technology leader with 17 years of experience designing and operating multi-region distributed microservices and global AWS data platforms. He has led platform and ML initiatives from early prototyping through production operationalization, most recently driving experimentation and product discovery at Instructure’s Headlamp team and building a full AWS data platform as Principal Architect at Lumio. Ethan combines hands-on backend and DevOps expertise—demonstrated by performance and observability contributions to the open-source Canvas LMS—with strategic architecture work on large-scale migrations, API gateways, and microservice decomposition. He’s fluent in Terraform, Airflow, Redshift, Kafka/MSK, and a wide cloud toolkit, and has a track record of turning exploratory models into reliable, automated systems. Based in Columbia, Missouri, he pairs entrepreneurial roots (co-founding a Medicaid billing product for public schools) with deep practical ML training from Udacity nanodegrees. Colleagues describe him as the engineer who bridges research curiosity and production rigor to deliver measurable platform outcomes.
17 years of coding experience
18 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Columbia College
Contributions:1237 commits, 4 pushes, 3 comments in 9 years 2 months
Contributions summary:Ethan's contributions primarily involved enhancing the performance and stability of the Canvas LMS platform by enabling auto-instrumentation for Datadog APM and implementing robust logging. They added features for tagging and grouping data related to authentication and other platform processes. Further efforts focused on improving performance by refactoring the code to optimize database queries.
Contributions:45 commits, 42 pushes, 1 branch in 22 days
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