Dave Bechberger is an Enterprise Data and AI Architect with 25+ years of experience building distributed data platforms across healthcare, fintech, resource exploration, and supply chain industries. He specializes in graph databases and practical AI integration—helping organizations deploy GraphRAG, agent workflows, and graph-based memory systems that work in production. As a former Principal Graph Architect for AWS Neptune and co-author of Graph Databases in Action, he blends deep technical expertise with customer-facing engineering guidance. His open-source contributions include significant enhancements to AWS’s graph-notebook, demonstrating hands-on mastery of Gremlin and OpenCypher. Based in Anchorage, he pairs enterprise-scale architecture experience with a track record of turning complex connected-data problems into reliable, production-ready systems. Quietly, he also advises startups and speaks internationally, translating research-grade ideas into pragmatic solutions.
11 years of coding experience
23 years of employment as a software developer
BS Electrical Engineering, BS Electrical Engineering at Rensselaer Polytechnic Institute
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
Role in this project:
Backend Developer
Contributions:63 reviews, 15 commits, 29 PRs in 1 year 9 months
Contributions summary:Dave contributed significantly to the `aws/graph-notebook` repository by adding and modifying notebooks, particularly focusing on integration with Neptune ML and OpenCypher. Their work involved adding and modifying code to allow grouping of Gremlin output, resolving CI test failures, and implementing OpenCypher explain plans. The user demonstrated expertise in Gremlin and OpenCypher query languages and related features.
Contributions:25 commits, 6 PRs, 31 pushes in 10 months
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