Andrew Zhang
Software Engineer at Scale AI
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolAndrew Zhang is a software engineer with eight years of experience building distributed systems, back-end integrations, and observability tooling, currently at Scale AI in New York. He spent several years at Datadog progressing from intern to Software Engineer II, contributing to the Datadog Agent integrations and publishing work on CDC replication and search. His open-source contributions include adding database-specific metrics and TLS/debugging improvements to the widely used DataDog/integrations-core repository, showing a blend of DevOps sensibility and production-grade instrumentation. Comfortable across data replication, Elasticsearch, and agent-level telemetry, he focuses on reliable, measurable systems that surface operational insights. Notably, he has a track record of turning complex database behaviors into actionable metrics (e.g., SQL Server AlwaysOn and IBM MQ queues), which helps bridge engineering and observability. Trained at Johns Hopkins University in computer science, he pairs rigorous fundamentals with hands-on production experience.
8 years of coding experience
6 years of employment as a software developer
Johns Hopkins UniversityAtholton High School
Github Skills (16)
mtls10
tls1210
sql10
python10
tls1310
metric10
libtls10
sql-database9
database9
relational-databases9
logging9
configuration-management9
databases9
network-monitoring8
ibm-mq8
Programming languages (8)
Github contributions (5)
DataDog/integrations-core
Sep 2020 - Jan 2023
Core integrations of the Datadog Agent
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:1755 reviews, 555 commits, 938 PRs in 2 years 4 months
Contributions summary:Andrew contributed to the Datadog Agent's core integrations, adding configuration specifications for the Vertica database and implementing debug logging for the TLS check. They also worked on enhancing the HTTP wrapper class validator and introduced metrics and tagging improvements for SQL Server's AlwaysOn feature, including database backup and fragmentation metrics. Additionally, the user added new queue stat metrics for IBM MQ.
datadog-agentagentintegrationsmonitoringdatadog
yzhan289/yzhan289.github.io
Jan 2020 - May 2020
Contributions:52 commits, 1 PR, 48 pushes in 3 months
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