Kevin Han
Principal Data Engineer
Sydney, New South Wales, Australia
Summary
🤩
Rockstar🎓
Top SchoolKevin Han is a Principal Data Engineer with 7 years of focused experience building scalable data and streaming platforms, currently working on Salesforce Marketing Cloud's Customer Data Platform and now at Commonwealth Bank. He brings deep distributed-systems expertise from roles at Dell EMC and Pravega, where he improved metrics, migrated to micrometer, and implemented thread-safe dynamic metrics for high-throughput streaming. Kevin has led cloud migration and platform redesigns at Macquarie Group and designed public cloud Big Data Pipeline Services at Futurewei, demonstrating a strong track record in cloud-native architecture and operational accuracy. His background spans major tech firms including Amazon and Google, giving him a practical blend of fintech, e-commerce, and large-scale backend engineering experience. Based in Sydney, he combines hands-on engineering with technical leadership and a knack for turning messy telemetry into actionable, dimensional observability. An often-overlooked strength is his sustained contribution to open-source streaming infrastructure, reflecting a commitment to production-grade reliability beyond product boundaries.
7 years of coding experience
21 years of employment as a software developer
The University of SydneyBachelor's degree Computer Science, Bachelor's degree Computer Science at Nanjing University of Aeronautics and Astronautics
Github Skills (13)
collections10
javas10
data-collection10
micrometer10
java10
metric10
distributed-database9
distributed-systems9
distributed-file-system9
streaming8
streaming-data7
data-ingestion7
unit-testing6
Programming languages (2)
Github contributions (5)
pravega/pravega
Oct 2018 - Sep 2020
Pravega - Streaming as a new software defined storage primitive
Role in this project:
Back-end Developer
Back-end DeveloperContributions:39 commits, 44 PRs, 1 push in 1 year 10 months
Contributions summary:Kevin primarily contributed to the improvement of the Pravega metrics collection and reporting system. Their work involved modifying and extending the existing metrics to capture more granular data, fixing naming inconsistencies, and migrating to a micrometer-based implementation for dimensional data models. Furthermore, the user updated metrics when certain events, like transaction merges, happened. This included refactoring code to use dynamic metrics and ensure thread-safe registry usage, indicating a focus on system performance and data accuracy.
streaming-datadistributed-storagereal-time-datadefineddata-ingestion
kevinhan88/pravega-samples
Sep 2018 - Apr 2019
Sample Applications for Pravega.
Contributions:25 pushes, 5 branches in 6 months
pravega
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