Gregory Burd
Senior Software Development Engineer at Amazon Web Services (AWS)
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolGregory Burd is a senior software development engineer with three decades of experience and deep expertise in back-end systems, databases, and distributed storage engines. He has hands-on mastery of core storage technologies (Berkeley DB, LMDB, Bitcask, LevelDB) and has driven production-grade work on distributed systems like Riak and Dynamo, now contributing to Amazon DocumentDB at AWS. Gregory blends open-source stewardship—contributions to Berkeley DB, OpenLDAP, FreeBSD and maintaining LMDB tooling—with pragmatic DevOps and cloud cost optimization, having led large migrations and cost-reduction efforts at Klar and other companies. He has built observability platforms, high-performance query filters for petabyte-scale logs, and infrastructure automation using Terraform and Kubernetes operators. Comfortable as both an IC and a leader, he pairs technical depth with product sensibility and a nuanced understanding of open-source licensing and community dynamics. Based in Cambridge, MA, he also publishes code on Codeberg, reflecting a long-running commitment to accessible open-source work.
12 years of coding experience
29 years of employment as a software developer
BS/CS Computer Science, BS/CS Computer Science at New Mexico State UniversityBA/MA Photojournalism Philosophy, BA/MA Photojournalism Philosophy at Whittier CollegeAlbuquerque Academy
Italian
Stackoverflow
866reputation
30kreached
12answers
0questions
database
top-5%
Github Skills (152)
parser10
stream-processing10
monitoring10
pipeline10
rust10
pooling10
high-performance10
observability10
router10
bitcoin10
vector10
linux9
database9
datomic9
humio9
Programming languages (15)
Github contributions (5)
gburd/kc
Apr 2018 - Jul 2021
Exploratory dive into DataNucleus for SpringData/SpringCache storage via JPA to Cassandra and MongoDB
Contributions:1 PR, 6 pushes, 1 branch in 3 years 3 months
spring-bootspring-datadatanucleusexploratorycassandra
qpdb/mentat
Jan 2020 - May 2022
A persistent, relational store inspired by Datomic and DataScript.
Contributions:9 releases, 3 reviews, 4 commits in 2 years 3 months
relationaldatascriptdatabasepersistentdatomic
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