Summary
Raymond Metz is a seasoned data engineer with 11+ years building and operating large-scale data platforms across AWS, Azure, and on-prem Hadoop environments. He has driven high-impact projects at Amazon, Meta, and Slalom—designing transactional Serverless Aurora Postgres schemas, migrating DynamoDB to Redshift for Quicksight, and tuning pipelines that process billions of rows. Comfortable across the stack, he brings hands-on expertise in Spark/Databricks, Delta/Parquet, DBT, Python, and ETL orchestration (Lambda, Step Functions, Glue), plus strong DevSecOps experience with CDK and CI/CD. He excels at translating complex business needs into well-documented, maintainable data products and has produced extensive Confluence/SharePoint documentation, diagrams, and runbooks to support long-term operations. An unexpected strength is his background teaching blockchain architecture and running meetups, which sharpens his ability to explain technical trade-offs to nontechnical stakeholders. Based in Seattle, he combines enterprise-scale performance tuning with pragmatic delivery for analytics, reporting, and automation use cases.
11 years of coding experience
18 years of employment as a software developer
Bellevue College