Jennifer G
Head Of Engineering at Prefect
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolJennifer Grange is a Director of Engineering based in New York with seven years in software development and a steady rise through technical and leadership roles at Prefect, from Software Engineer to Director. She blends hands-on backend Python work—contributing to Prefect's popular workflow orchestration codebase, adding API endpoints, sorting/filtering and test refactors—with product and platform leadership across distributed teams. Her background before tech includes international diplomacy and education roles, giving her uncommon strengths in cross-cultural communication, stakeholder management, and teaching-driven mentorship. Jennifer’s profile reflects a leader who codes, architects, and scales developer-facing systems while translating complex operational needs into reliable platform features.
7 years of coding experience
7 years of employment as a software developer
Master of Science (MSc), International Management (China), Master of Science (MSc), International Management (China) at SOAS University of LondonMaster of Arts, East Asian Languages, Literatures, and Linguistics, Master of Arts, East Asian Languages, Literatures, and Linguistics at University of CambridgeThe Grace Hopper Program at Fullstack Academy
Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
orchestration10
orchestra10
sqlalchemy10
api10
pytest10
prefect10
python10
apidoc10
data-model10
user-data10
data-set10
data-engineering9
Programming languages (8)
Github contributions (5)
PrefectHQ/prefect
Sep 2019 - Jan 2023
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 releases, 144 reviews, 809 commits in 3 years 4 months
Contributions summary:Jennifer primarily contributed to backend functionality and testing within the Prefect repository. They focused on implementing sorting and filtering capabilities for task runs, flow runs, and deployment data, as well as adding API endpoints. Their work involved modifying various API tests and models, suggesting an understanding of the Orion database architecture. The user also refactored existing code to integrate these features, demonstrating proficiency in Python and related technologies.
data-pipelinedata-pipelinesorchestration-frameworkpythonworkflow
zhen0/JGWebsite
Apr 2019 - Jun 2026
Code for my personal website
Contributions:2 reviews, 1 PR, 109 pushes in 7 years 3 months
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