Varun Saxena
Senior Engineering Manager at The Apache Software Foundation
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolVarun Saxena is a Staff Software Engineer with 11 years of experience designing and implementing large-scale, fault-tolerant distributed systems, currently driving YARN and big data platform work at LinkedIn. He previously led Hadoop kernel and YARN teams at Huawei, contributing over 40 KLOC to Apache Hadoop as a PMC member and committer and ranking among the project's top contributors. His work spans core Java/C++ systems, HDFS/HBase, scheduler design (including GPU-aware scheduling and a Superior Scheduler), and production-grade CI/CD and performance tuning for tools like Dr. Elephant. Varun blends hands-on coding with technical leadership—running pre-research, security/STRIDE analysis, patent filings, and community-driven feature efforts such as ATSv2. Based in Bengaluru, he pairs strong academic foundations (MCA with top grades and a CMU summer course) with practical impact across cloud and telecom domains.
11 years of coding experience
10 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Thapar Institute of Engineering & TechnologySummer Course, Computer Science, Summer Course, Computer Science at Carnegie Mellon University
Hindi, English
Github Skills (15)
testing10
scala10
javas10
software-quality10
cicd10
java10
apache-hadoop10
performance-monitoring9
devops9
apidoc9
api9
spark8
rest-api8
hadoop8
hbase7
Programming languages (4)
Github contributions (5)
apache/hadoop
Dec 2015 - Sep 2019
Apache Hadoop
Role in this project:
Back-end Developer
Back-end DeveloperContributions:335 commits, 1 PR, 2 pushes in 3 years 9 months
Contributions summary:Varun primarily contributed to the backend of the Hadoop YARN project. Their commits focused on fixing bugs related to the Resource Manager (RM) and enhancing existing features, such as adding RPC port info in RM web service's response when getting app status and avoiding stack traces when recovering an app. The user's work also involved addressing intermittent test failures, and implementing changes to facilitate AM blacklisting and handling of the new ATSv2 features for the project.
apache-hadoophadoop
linkedin/dr-elephant
Oct 2018 - Feb 2019
Dr. Elephant is a job and flow-level performance monitoring and tuning tool for Apache Hadoop and Apache Spark
Role in this project:Backend & DevOps Engineer
Backend & DevOps EngineerContributions:21 commits, 25 PRs, 39 pushes in 4 months
Contributions summary:Varun primarily contributed to the Dr. Elephant project by addressing critical issues related to job backfilling, ensuring data integrity during system downtime. They refactored code to improve the performance of the application, integrating Findbugs and CPD for improved code quality. Additionally, they were involved in the development of CI/CD pipelines and added metrics to monitor system performance.
apache-hadoopapache-sparkperformance-monitoring
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