Peter Webb
Senior Software Engineer at FabuBlox
Indianapolis, Indiana, United States
Summary
🤩
Rockstar🎓
Top SchoolPeter Webb is a Senior Software Engineer with 10+ years building high-performance systems in C++, C#, Python and Rust, currently based in Indianapolis. He modernized and optimized dbt-core at dbt Labs—reducing startup time by 75%, improving project load performance by 50%, and adding observability and type coverage to a high-throughput production codebase used for massive batch jobs. At Veson Nautical he led geo-spatial and microservice work, translated a C++ library to C# while preserving binary compatibility, and designed an NLP pipeline that extracted 95%+ of key data from unstructured emails. A core contributor to the widely used dbt-core open-source project, he has deep experience balancing stability with rapid releases and has implemented record/replay tooling to compare Python and Rust implementations. He combines systems-level performance tuning and build engineering with practical product delivery and mentorship, and holds advanced CS training from Harvard and a BS in CS & Math from Rose-Hulman.
10 years of coding experience
22 years of employment as a software developer
SM Computer Science, SM Computer Science at Harvard UniversityPerry Meridian High SchoolBS Computer Science and Mathematics, BS Computer Science and Mathematics at Rose-Hulman Institute of Technology
Github Skills (8)
sql10
python10
data-engineering10
back-end-development9
data-modeling9
analytics8
data-pipeline8
data-pipelines8
Programming languages (7)
Github contributions (5)
dbt-labs/dbt-core
Sep 2022 - Jan 2023
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:279 reviews, 22 commits, 250 PRs in 4 months
Contributions summary:Peter contributed significantly to the dbt-core project by implementing features, fixing bugs, and improving code quality. Their work involved enhancing manifest deepcopy operations, addressing invalid materialization configurations, and porting documentation tests to pytest. They also refactored event logging code, optimized graph analysis, and added features for snapshot hard deletes. Furthermore, the user worked on refactoring macro contexts and incorporating semantic model validation.
analyticsdbt-viewpointtransformanalystssql
peterallenwebb/bitquilt
Aug 2015 - Feb 2022
Contributions:5 pushes, 1 branch in 6 years 7 months
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