Shaun Chang is a Software Development Engineer II with 7 years of experience building high-throughput, cloud-native microservices and end-to-end CI/CD pipelines, currently based in Seattle and working at Amazon. He has designed and launched public AWS Snow Family services and led front-end and backend work for large data transfer tooling, as well as maintained payment systems that handle very high TPS for AWS. Shaun contributes to notable open-source projects like Apache Hudi, improving Spark integration, CLI behavior, and CI for Java 17, which reflects a strong backend and DevOps pedigree. Comfortable across Java, distributed systems, and operational excellence, he routinely combines product-facing features with the engineering groundwork (dashboards, alarms, on-call resolutions) that keeps systems reliable. His GitHub bio hints at a relentless curiosity—constantly learning even while focused on pragmatic, production-grade solutions.
7 years of coding experience
9 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.) Computer Engineering, Bachelor of Applied Science (B.A.Sc.) Computer Engineering at The University of British Columbia
Upserts, Deletes And Incremental Processing on Big Data.
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:253 reviews, 7 commits, 68 PRs in 3 months
Contributions summary:Shaun contributed to the Apache Hudi project by fixing bugs and implementing features related to the command-line interface (CLI) and Spark integration. Their work involved modifying code to support Spark 3.3.0 and 3.5.0, enhancing the functionality of the Hudi catalog, and fixing serialization issues. Additionally, the user was involved in setting up GitHub CI for Java 17 and improving the handling of CloudWatch metrics.
Contributions:30 commits, 29 pushes, 1 branch in 10 months
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Shaun Chang - Software Development Engineer II at Amazon