Jennifer Chen
Software Engineer II at Datadog
New York City Metropolitan Area United States
Summary
🤩
Rockstar🎓
Top SchoolJennifer Chen is a Software Engineer II with seven years of experience building backend systems, observability tooling, and container integrations, currently contributing to Datadog's APM and container stack from the New York City area. She has a strong systems design background from Waterloo and hands-on experience instrumenting Ruby applications—most notably contributing PostgreSQL instrumentation and telemetry to the widely used DataDog dd-trace-rb project. Her career blends production engineering (Datadog, Scotiabank, Embark) with data and monitoring work (The Globe and Mail) and a track record of improving developer workflows and test coverage. Jennifer also brings cross-disciplinary project leadership from student-run engineering teams and hyperloop competitions, which informs her ability to coordinate large, distributed teams. Pragmatic and curious, she pairs low-level tracing expertise with a habit of shipping infrastructure improvements that make systems easier to observe and maintain.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Applied Science - BASc Engineering, Bachelor of Applied Science - BASc Engineering at National University of SingaporeMarkham District High SchoolBachelor of Applied Science - BASc Systems Design Engineering | Computing Option, Bachelor of Applied Science - BASc Systems Design Engineering | Computing Option at University of Waterloo
Github Skills (8)
distributed-tracing10
postgresql10
tracer10
trace10
telemetry10
apm10
ruby10
sidekiq9
Programming languages (10)
Github contributions (5)
DataDog/dd-trace-rb
Jun 2022 - Aug 2022
Datadog's client library for Ruby
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 reviews, 190 commits, 36 PRs in 2 months
Contributions summary:Jennifer primarily contributed to the instrumentation and tracing of Ruby code, specifically focusing on integrating PostgreSQL. Their work involved adding instrumentation for various PostgreSQL methods and parameters, along with associated testing. Additionally, the user added internal tracing capabilities to Sidekiq and DelayedJob for monitoring and debugging. The user also implemented core telemetry features to support the collection of application metrics.
datadogrubytracingapmdistributed-tracing
uwblueprint/childrens-aid-society
May 2022 - Dec 2022
🧸 Children's Aid Society supervised access program management platform
Contributions:351 reviews, 30 commits, 54 PRs in 6 months
pythonprogram-managementsupervisedqbcore-frameworkaid
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