Deana Holmer is a Senior Data Engineer with nine years at Amazon and two decades of Oracle database expertise, currently building secure, serverless data platforms for Amazon Robotics. She combines advanced SQL and AWS ML certifications with hands-on experience across Redshift, Athena, Glue, SageMaker and Neptune to deliver high-quality analytics and diagnostics. Deana led a high-impact NLU project in AWS Support that still influences workflows today and developed a secure, PII-aware labeling platform for production ML. Her open-source contributions to awslabs/rds-support-tools reflect deep practical knowledge of RDS automation and serverless deployment. Known for migrating and hardening large sharded systems, she helps teams choose the right data platform for scale and reliability. Based in the Greater Seattle Area, she also authors a top-viewed database blog bridging serverless apps and database querying.
9 years of coding experience
6 years of employment as a software developer
Bachelors Degree, Bachelors Degree at University of California, Berkeley
Amazon RDS Support Tools contains utilities, sql, scripts and views which are useful in a RDS environment
Role in this project:
Database Engineer / Database Administrator
Contributions:65 commits, 71 PRs, 50 pushes in 1 year 10 months
Contributions summary:Deana primarily contributed to the creation and modification of SQL scripts used for querying and managing databases within an Amazon RDS environment. Their work involved writing SQL queries to retrieve session wait summaries and creating scripts to insert data into PostgreSQL and MySQL databases. The user also added serverless application files related to database query and deployment. They updated scripts used to manage the AWS CloudFormation and Lambda function deployment.
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