Apache Spark PMC at The Apache Software Foundation
Xi'an, Shaanxi, China
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Summary
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Rockstar
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Top School
Yikun Jiang is a seasoned backend engineer and open-source maintainer with 13 years of experience, currently serving on the Apache Spark PMC and as a Spark committer. Based in Xi'an, he blends deep distributed-systems expertise with pragmatic automation—improving PySpark testing, Kubernetes integration, and multi-arch support at Huawei and in upstream Spark. A long-time OpenStack contributor and former Cinder core member, he has a track record of shipping reliability and pagination/DB API improvements across compute and storage projects like Nova and Cinder. He also builds practical DevOps tooling, authoring a Python GitHub Action to mirror repositories across GitHub, Gitee, and GitLab with robustness features like retries and filtering. Active in cloud-native ecosystems (Volcano, openEuler) and ML infra (vllm-ascend), he pairs strong systems knowledge with an eye for developer experience. His academic background in communications and telecom from Xidian University underpins a disciplined approach to scalable system design.
13 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Communication and Information System, Master of Science - MS, Communication and Information System at Xidian University
一个Github Action,用于在Github, Gitee和GitLab之间同步代码。Action for mirroring repos between Hubs (like Github, Gitee and GitLab).
Role in this project:
DevOps Engineer
Contributions:23 releases, 35 reviews, 115 commits in 2 years 5 months
Contributions summary:Yikun primarily focused on developing and enhancing a GitHub Action for mirroring repositories between different hubs like GitHub, Gitee, and GitLab. Their contributions include adding features such as support for mirror direction, auto-creation of repositories, and various configuration options like account type and clone style (SSH/HTTPS). They also implemented black/white list filters, and added timeout and retry mechanisms for robustness. The user re-architected and rewrote the action in Python to improve maintainability.
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Back-end Developer & Automation Engineer
Contributions:610 reviews, 31 commits, 227 PRs in 1 year 8 months
Contributions summary:Yikun's commits primarily focused on improving the testing and build infrastructure of the Apache Spark project, particularly concerning the Python side. They made multiple changes to ensure the PySpark tests can be properly run and that they are robust. These involved improvements to doctests, fixing schema inference, and updating minimum pandas and other dependencies. The user also added support for new features such as setting queue scheduling for Kubernetes and various changes to the Kubernetes deployment configurations.
analyticspythondata-processingsqlapache
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Yikun Jiang - Apache Spark PMC at The Apache Software Foundation