Theodore Dyer
Data Engineer
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolTheodore Dyer is a data engineer with nine years of hands-on experience and an M.S. in Computer Science from Johns Hopkins, specializing in AI, ML, and quantum computing. He designs and ships production-grade data pipelines and web interfaces—most recently automating complex, unstructured medical data processing with Azure Functions, Cosmos DB, and Flask-backed apps featuring Azure AD SSO and versioned audit logging. Past work includes scaling analytics with PySpark on EMR and S3 to replace PostgreSQL bottlenecks, reflecting a strong focus on pragmatic, cloud-native solutions. Theodore pairs research-oriented academic training with practical engineering across the stack, and maintains a public portfolio of projects at theodoredyer.github.io that showcases his blend of data, automation, and application development.
9 years of coding experience
3 years of employment as a software developer
High-school Diploma, High-school Diploma at The Overlake SchoolMaster of Science - MS, Computer Science, Master of Science - MS, Computer Science at Johns Hopkins Whiting School of EngineeringUniversity of California Santa Cruz
Latin
Github Skills (2)
javascript1
css1
Programming languages (2)
Github contributions (5)
theodoredyer/WebGL-Physics
Jun 2019 - May 2024
Contributions:6 pushes, 1 branch in 5 years
theodoredyer/theodoredyer.github.io
Aug 2020 - Oct 2022
Contributions:41 commits, 39 pushes, 1 branch in 2 years 3 months
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