Derek Yeager

Lead Solutions Architect at Databricks

Alexandria, Virginia, United States
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Summary

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Senior
🎓
Top School
Derek Yeager is a Lead Solutions Architect with 11 years of experience designing data and AI solutions for federal clients, currently guiding technical strategy at Databricks from Alexandria, VA. He blends hands-on engineering and architecture, drawing on a long tenure at Booz Allen and roots in high-performance computing at the Pittsburgh Supercomputing Center. Derek is comfortable across distributed data stacks—evidenced by open-source contributions to GeoWave where he improved Java-based bulk ingest and spatial indexing integrations with Accumulo. He holds an MS in Computer Science from George Washington University and brings a practical focus on turning complex geospatial and temporal data challenges into reliable, production-ready systems. Notably, his work balances deep backend implementation skills with an ability to translate federal requirements into scalable AI-ready architectures.
code11 years of coding experience
job13 years of employment as a software developer
bookMaster of Science (MS), Computer Science, Master of Science (MS), Computer Science at The George Washington University
bookBachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at University of Pittsburgh
languagesEnglish
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Github Skills (8)

data-ingestion10
javas10
hadoop-mapreduce10
mapreduce10
accumulo10
java10
spatial-data9
geospatial9

Programming languages (3)

JavaScalaJavaScript

Github contributions (5)

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locationtech/geowave

May 2015 - Dec 2016

GeoWave provides geospatial and temporal indexing on top of Accumulo, HBase, BigTable, Cassandra, Kudu, Redis, RocksDB, and DynamoDB.
Role in this project:
userBack-end Developer
Contributions:132 commits, 96 PRs, 275 pushes in 1 year 7 months
Contributions summary:Derek's commits focus on the development and improvement of a Java-based map-reduce job for bulk data ingest. This involved creating a custom mapper and integrating the GeoWave library with Accumulo's file output format for efficient key-value pair creation. The changes also included code enhancements, such as improved handling of coordinate data and overall job success verification. The user also applied code formatting.
indexingon-tophbasekudupartitioning
dcy2003/geowave-wip

Jun 2015 - Jan 2016

Contributions:110 pushes, 19 branches in 7 months
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