Swaminathan Balachandran
Apache Ozone PMC Member at Cloudera
Amsterdam, North Holland, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolSwaminathan Balachandran is a backend-focused software engineer with seven years of experience building and optimizing large-scale data platforms and storage systems. Based in Amsterdam, he has driven production Hadoop migrations, policy-driven storage and erasure-coding initiatives at Flipkart and contributed core functionality and bug fixes to the widely used Apache Ozone distributed storage project, rising from contributor to PMC member. His work spans Java, Hadoop/HDFS, erasure coding, and distributed reconstruction logic, with hands-on experience reducing storage footprints and ensuring resilient data pipelines at petabyte scale. Now at Cloudera and Together AI, he continues to focus on Big Data systems and scalable storage while bringing a pragmatic, debugging-first approach to complex reliability issues. An MS graduate in Big Data Systems from Arizona State University, he pairs academic grounding with open-source impact—often surfacing subtle correctness and placement-policy fixes that prevent data reconstruction failures.
7 years of coding experience
7 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceMaster of Science - MS, Computer Science( big data systems), 4, Master of Science - MS, Computer Science( big data systems), 4 at Arizona State University
English, Tamil, Hindi, German, Sanskrit
Github Skills (5)
javas10
storage10
object-store10
java10
testing8
Programming languages (5)
Github contributions (5)
apache/ozone
Jun 2022 - Jan 2023
Scalable, reliable, distributed storage system optimized for data analytics and object store workloads.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1219 reviews, 26 commits, 180 PRs in 6 months
Contributions summary:Swaminathan primarily contributed to the Apache Ozone project by implementing and modifying core features related to data storage and management. Their work included enabling SCM Ratis by default, fixing issues in EC key output streams and handling misreplication, and ensuring the correct application of placement policies. They also addressed bugs and incorporated debugging information for error handling during data reconstruction and stripe write failures.
scalableredundantapachebig-dataspark
swamirishi/ozone
May 2022 - Apr 2025
Scalable, redundant, and distributed object store for Apache Hadoop
Contributions:11 PRs, 940 pushes, 145 branches in 2 years 10 months
scalableredundantapachebig-dataspark
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