William Yu
Software Engineer at Datadog
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolWilliam Yu is a seasoned software engineer with a decade of experience building reliable, high-throughput data and observability systems across finance and ad tech. Currently at Datadog, he contributes to the Datadog Agent—improving process monitoring with gRPC-based hostname retrieval, container process chunking, and resilient backoff/timeouts—bringing practical DevOps sensibilities to backend engineering. His background includes core data platform work at Conductor and Unified, where he engineered Kafka-based ingestion and transformation pipelines for large-scale telemetry and advertising data. Early experience in quantitative technology teams at major banks gave him a strong foundation in performance-sensitive Java and low-latency systems. Based in New York, he combines production-grade distributed systems expertise with a knack for pragmatic performance optimizations that improve observability and operational reliability.
10 years of coding experience
12 years of employment as a software developer
BS, Computer Science, BS, Computer Science at Rochester Institute of Technology
Github Skills (12)
process-monitor10
process-monitoring10
go10
backend10
back-end-development10
grpc10
dockers9
containerization9
observability9
monitoring9
docker9
distributed-systems8
Programming languages (7)
Github contributions (5)
DataDog/datadog-agent
Mar 2021 - Jan 2023
Main repository for Datadog Agent
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:361 reviews, 28 commits, 81 PRs in 1 year 10 months
Contributions summary:William primarily focused on enhancing the Datadog agent's process monitoring capabilities. Their contributions included implementing gRPC for hostname retrieval within the process agent, improving the overall performance and reliability of the agent. Furthermore, the user worked on adding chunking for container processes, optimizing how container data is processed and sent, which would improve data handling efficiency. They also improved the configuration of the gRPC connection timeout and adjusted the backoff configurations.
golangdatadog-agentagentobservabilitypmm
wiyu/apollo-client-maven-plugin
Apr 2018 - Feb 2021
Generate a Java GraphQL client based on introspection data and predefined queries.
Contributions:6 PRs in 2 years 10 months
graphql-clientgraphql-subscriptionsapollographqlgraphql-javanexus
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