Gary Gao is a Digital Transformation Advisor based in Beijing with 13 years of experience bridging enterprise consulting and hands-on technical delivery across IBM, Accenture, and Microsoft. He has led 30+ large IT and ERP programs in retail, automotive, manufacturing, and oil & gas, specializing in supply chain optimization, CRM, WMS/OMS, and cloud migration. Equally comfortable managing 70+ consultant teams and shaping program governance, he blends business process improvement with deep SAP and ERP domain expertise. On the technical side he contributes to big-data projects—working on Apache SeaTunnel and tooling around Spark, Kafka, Elasticsearch and Hadoop—bringing practical backend and DevOps chops to data integration at scale. Known for turning complex multi-system integrations into maintainable architectures, he also has a track record of improving delivery quality through standards, KPI design and change management. His background in software engineering (Peking University) and industrial engineering gives him a rare mix of technical rigor and operational insight.
13 years of coding experience
11 years of employment as a software developer
Master of Computer Applications - MCA, Software Engineering, Master of Computer Applications - MCA, Software Engineering at Peking University
Bachelor of Business Administration (BBA), Industrial Engineering Management (IE), Bachelor of Business Administration (BBA), Industrial Engineering Management (IE) at Tianjin University
SeaTunnel is a next-generation super high-performance, distributed, massive data integration tool.
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:16 releases, 37 reviews, 628 commits in 4 years 5 months
Contributions summary:Gary contributed to the Apache SeaTunnel project by fixing code style issues, adding a Scala code format tool (scalafmt), and adding documentation generation features. They also made changes to the build configuration, including adding antlr4 sbt plugin and making modifications to the configuration grammar file. Further contributions include refactoring and modifications to existing scala code.
Contributions:45 pushes, 1 branch in 3 years 6 months
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