Eric Wu
Staff Software Engineer II at Confluent
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolEric Wu is a Staff Software Engineer II based in Seattle with over a decade building large-scale, event-driven Java/Scala systems and production services on AWS. He has deep expertise in distributed systems, Apache Kafka, reactive design (Akka/Streams), and container orchestration (Kubernetes, ECS), and has repeatedly owned operational readiness, reliability and performance instrumentation across products. At Confluent and in notable open-source projects like Zendesk's Maxwell and Confluent’s Schema Registry and rest-utils, he has improved robustness, health checks, and metrics to make streaming platforms more observable and resilient. His background includes engine-level work on Aurora PostgreSQL at AWS and product delivery for Amazon Fashion, demonstrating both low-level systems troubleshooting and customer-facing service delivery. Colleagues rely on him to bridge complex integration scenarios (webMethods/IBM Sterling) and pragmatic cloud architecture choices that reduce operational risk and cost.
10 years of coding experience
18 years of employment as a software developer
Bachelor of Engineering Computer Science and Technology, Bachelor of Engineering Computer Science and Technology at Dong Hua University
English, Chinese
Github Skills (23)
back-end-development10
mysql10
testing10
kafka10
java10
javas10
schema10
metric10
api-design9
restful-api9
monitoring9
api-rest9
data-pipelines9
sensor9
sensor-fusion9
Programming languages (5)
Github contributions (5)
zendesk/maxwell
Jul 2017 - Nov 2018
Maxwell's daemon, a mysql-to-json kafka producer
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 54 commits, 36 PRs in 1 year 4 months
Contributions summary:Eric primarily contributed to bug fixes and feature enhancements within the `zendesk/maxwell` repository, a MySQL-to-Kafka producer. Their work focused on improving the system's robustness, as seen in the fix for EOFException in JSON column operations. Furthermore, the user improved the filtering capabilities within Maxwell, ensuring correct regex character escaping and incorporating changes to skip table filters under specific conditions. They also added health checks and diagnostics for the Maxwell system.
to-jsonavrosinkmysqldaemon
confluentinc/schema-registry
Jun 2022 - Nov 2022
Confluent Schema Registry for Kafka
Role in this project:Backend Developer
Backend DeveloperContributions:54 reviews, 28 commits, 14 PRs in 5 months
Contributions summary:Eric primarily focused on enhancing the metrics and monitoring capabilities of the Confluent Schema Registry. They added and modified metrics to track various aspects of the schema registry's performance, including API call counts, schema creation/deletion, and the node's leader status. They also addressed build breakages and externalized Kafka group configurations. Furthermore, the user contributed to health check implementations and the removal of deprecated methods.
avroschema-registryprotobuf-schemaprotobufschema-validation
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