Brad Bebee
Director, AWS, Amazon ElastiCache, Neptune, And Timestream at Amazon Web Services (AWS)
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolBrad Bebee is a seasoned technology executive and engineering leader with over a decade of experience building and operating large-scale graph and time-series data platforms at AWS, where he currently directs ElastiCache, Neptune, and Timestream. He combines deep hands-on systems and architecture expertise—ranging from early semantic web work and DARPA-era knowledge representation to Hadoop/Accumulo analytics—with product and P&L leadership as a former CTO, CFO, and GM. At Amazon he led Neptune’s product and engineering and contributed open-source tooling (notably the graphml2csv converter) to simplify graph data ingestion into Neptune. Known for translating research into deployable systems, he has overseen programs from quick-reaction prototypes to enterprise agency deployments and was invited to the National Academy of Engineering’s Frontiers of Engineering symposium. Based in Seattle, he blends academic rigor with operational pragmatism to help customers solve complex data challenges quickly.
11 years of coding experience
22 years of employment as a software developer
Chinese Language, Chinese Language at Capital Normal UniversityThe University of Maryland, College ParkCertificate of International Business, Certificate of International Business at Ecole supérieure de Commerce de Rennes
Github Skills (5)
csv10
python10
data-conversion9
xml-parsing8
build-automation7
Programming languages (11)
Github contributions (5)
awslabs/amazon-neptune-tools
Apr 2018 - May 2022
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 releases, 3 reviews, 74 commits in 4 years 1 month
Contributions summary:Brad primarily contributed to the `graphml2csv` tool, which converts GraphML files to Neptune-compatible CSV format. Their work involved initial development of the tool, adding features like Python 2/3 compatibility, and introducing options for output delimiters and file encoding. Furthermore, they addressed multiple issues to improve the tool's functionality by accommodating various GraphML file structures and edge/node labeling scenarios. Finally, they updated the release process with improved build and deployment automation.
graphmlamazonneptunegraphaws
blazegraph/database
Dec 2015 - Oct 2022
Blazegraph High Performance Graph Database
Contributions:14 releases, 133 commits, 30 PRs in 6 years 10 months
graphdbbigtabletinkerpopsparqlperformance
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