Legina Chen
Senior Software Engineer at Datadog
United States
Summary
🤩
Rockstar🎓
Top SchoolLegina Chen is a Senior Software Engineer with seven years of experience building scalable back-end systems, currently designing multi-tenant distributed queuing infrastructure at Datadog. She has progressed through multiple engineering roles at Datadog after internships at Google and Facebook, bringing practical experience with FoundationDB, Redis HA, metadata stores, and blob storage. Her open-source contributions include meaningful back-end work on Google's Nomulus registry, where she implemented database entities, DAOs, and migration scripts for threat match data—demonstrating strong schema design and data migration skills. Legina combines production-grade engineering with a grounded academic background from UC Berkeley in Computer Science. Colleagues describe her as a pragmatic problem-solver who refactors and hardens systems rather than adding superficial features. She often tackles the gritty, non-glamorous parts of distributed systems that make large-scale services reliable.
7 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at University of California, BerkeleyGeorge Washington High School
English, Chinese, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
javas10
postgresql10
sql10
database-design10
java10
jtest9
junit9
data-persistence9
google-cloud-platform8
data-modeling8
gcp8
Programming languages (2)
Github contributions (5)
google/nomulus
Jun 2020 - Aug 2020
Top-level domain name registry service on Google Cloud Platform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits, 22 PRs, 8 pushes in 2 months
Contributions summary:Legina's contributions centered on back-end development within the Nomulus project, specifically focusing on the implementation of database entities and associated logic. The user created and modified Java entities for storing threat match data, including the creation of a DAO for managing these entities. This involved significant changes to database schemas, foreign key constraints, and data migration scripts. Additionally, the user refactored existing code to align with new database structures and improved unit tests.
appenginegoogle-appservice-registrygcloudapp-engine
leginachen/nomulus
Jun 2020 - Aug 2020
Top-level domain name registry service on Google App Engine
Contributions:98 pushes, 17 branches in 2 months
google-appservice-registryapp-enginegoogledomain-name
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