Tian Chu
Director Of Engineering at Datadog
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolTian Chu is a seasoned engineering leader with nine years of experience building and scaling products in marketing and advertising, now serving as Director of Engineering at Datadog in New York. He combines hands-on expertise in Python, React, MongoDB, Elasticsearch, Redis, and AWS with strong DevOps and serverless experience, having contributed to Datadog's serverless functions and documentation. A Columbia MS in Computer Engineering, Tian progressed from engineer to director roles at Wyng and Datadog, consistently moving teams toward more reliable, metrics-driven systems. He blends technical depth with product sensibility—refactoring core Lambda functions, improving metric and trace forwarding, and keeping platform docs in sync with releases—helping teams deliver observability at scale.
9 years of coding experience
14 years of employment as a software developer
MS Computer Engineering, MS Computer Engineering at Columbia UniversityBS Electrical Engineering, BS Electrical Engineering at Shanghai Jiao Tong University
Chinese, English
Github Skills (17)
hugo10
data-collection10
python10
aws-lambda10
datadog10
collections10
serverless-functions10
devops10
documentation10
metric10
aws9
logging9
serverless9
http8
json8
Programming languages (10)
Github contributions (5)
DataDog/datadog-serverless-functions
Jun 2019 - May 2022
Repo of AWS Lambda and Azure Functions functions that process streams and send data to Datadog
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:41 releases, 85 reviews, 146 commits in 2 years 11 months
Contributions summary:Tian primarily contributed to the Datadog serverless functions repository by enhancing the AWS Lambda function responsible for processing logs and forwarding metrics to Datadog. Their work included implementing metric forwarding, refactoring code, and updating dependencies. The user also addressed code review feedback and added improvements to the overall structure. Additionally, they updated the Lambda layer version and refactored the code to support metrics and trace forwarding.
azure-functionsserverlessaws-lambdastreamsaws
DataDog/documentation
Dec 2018 - Dec 2022
The source for Datadog's documentation site.
Role in this project:Technical Writer
Technical WriterContributions:116 reviews, 132 commits, 62 PRs in 4 years
Contributions summary:Tian primarily focused on updating and maintaining documentation related to the Datadog platform. Their contributions included modifications to Hugo-based documentation files, specifically altering code examples and layout elements in multiple partials like the footer, serverless and database monitoring pages. The commits also involved updating lambda layer versions, indicating a focus on keeping the documentation synchronized with the latest software releases and integration specifics.
wikihugodatadogdocumentation-site
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