Danni Liu
Software Engineer II at Datadog
Minneapolis, Minnesota, United States
Summary
🤩
Rockstar🎓
Top SchoolDanni Liu is a full-stack Software Engineer II with nine years of experience building web, mobile, and back-end systems, currently contributing to Datadog’s integrations and agent tooling. She combines strong foundations in data structures and algorithms with practical expertise across JavaScript, Python, Java, Swift, React/React Native, Node.js, and cloud services like AWS and Google Cloud. Her Datadog contributions include adding version metadata and test automation to core integrations—demonstrating attention to observability and production-grade reliability. A former clinical psychology researcher, Danni brings advanced quantitative reasoning and polished communication skills that help bridge cross-functional teams and translate complex requirements into reliable implementations. She thrives in learning-focused environments and has a track record of shipping tested, maintainable code while mentoring and teaching others.
9 years of coding experience
6 years of employment as a software developer
Full-time Immersive Bootcamp, Computer Software Engineering, Full-time Immersive Bootcamp, Computer Software Engineering at The Grace Hopper Program at Fullstack AcademyComputer Science, Computer Science at New York UniversityMaster of Arts (M.A.), Clinical Psychology, 3.60, Master of Arts (M.A.), Clinical Psychology, 3.60 at Long Island UniversityBachelor of Arts (B.A.), Psychology, 3.64, Bachelor of Arts (B.A.), Psychology, 3.64 at Washington University in St. Louis
Chinese, English
Github Skills (6)
datadog10
python10
integrations10
mysql9
haproxy9
apache8
Programming languages (4)
Github contributions (5)
DataDog/integrations-core
Oct 2019 - Dec 2019
Core integrations of the Datadog Agent
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:8 commits, 8 PRs, 60 pushes in 1 month
Contributions summary:Danni primarily focused on adding version metadata and implementing related functionality across multiple checks within the Datadog integrations core. They added methods to collect and send version information from various sources, including HTTP and sockets, and added tests to validate this process. The contributions included modifications to existing checks, new test files and fixtures, and adjustments to version-related logic, including flavor and build information.
datadog-agentagentintegrationsmonitoringdatadog
mathildapurr/support-slackbot
Nov 2021 - Mar 2022
Contributions:2 PRs, 6 pushes, 3 branches in 3 months
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