Elijah Izzy
Software Engineering Architect at Salesforce
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolElijah Izzy is a software engineering architect and hands-on technical leader with seven years of experience building data and ML platforms at companies from Two Sigma to Stitch Fix and now Salesforce in the San Francisco Bay Area. He has led platform strategy and delivery—running a machine learning platform used by 100+ data scientists—and later founded and served as CTO of DAGWorks, contributing substantially to the popular open-source Hamilton dataflow framework. His work on Hamilton shows a pragmatic focus on maintainable, testable dataflows: modernizing Python support, refactoring APIs, and enhancing flexibility for production data engineering. Comfortable moving between individual contribution and high-level architecture, Elijah combines quantitative rigor from his applied math/computer science background with product-minded engineering. Colleagues would call him a platform-builder who likes to simplify complex data tooling while keeping developer ergonomics front and center.
6 years of coding experience
12 years of employment as a software developer
Y CombinatorBSc. Applied Mathematics - Computer Science, BSc. Applied Mathematics - Computer Science at Brown University
French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
pandas10
python10
data-engineering10
data-analysis9
computer-engineering9
decorators8
parameterization8
decorator8
Programming languages (7)
Github contributions (5)
DAGWorks-Inc/hamilton
Nov 2022 - Mar 2023
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Role in this project:
Data Engineer
Data EngineerContributions:54 releases, 508 reviews, 78 commits in 4 months
Contributions summary:Elijah primarily contributed to the Hamilton dataflow framework by enhancing Python support, removing legacy support, and adding new features, as well as restructuring code and making improvements to the framework's APIs. These changes included adding support for Python 3.11, removing support for Python 3.6, and deprecating dataclasses. Furthermore, the user refactored components like parameterized_frame and implemented the parameterize_extract_columns, which increased the framework's flexibility.
dagdata-analysisdata-engineeringdata-sciencedataframe
DAGWorks-Inc/burr
Feb 2024 - Mar 2025
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
Contributions:59 releases, 214 reviews, 378 PRs in 1 year 1 month
aiburrchatbot-frameworkdagsgenerative-ai
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