Siddhant Sangwan
Senior Software Engineer at The Apache Software Foundation
Faridabad, Haryana, India
Summary
👤
Senior🎓
Top SchoolSiddhant Sangwan is a Senior Software Engineer at Cloudera with seven years of experience building high-performance, scalable distributed storage systems, primarily as a core contributor and committer to Apache Ozone. He designs and implements production-grade features, debugs complex multithreaded code, and emphasizes well-tested, performant software for systems that scale to billions of objects. As an Ozone PMC member he helps maintain the project and supports its open-source community, with recent contributions improving usability and monitoring (e.g., DN usage metrics and URI handling). Comfortable across Java, concurrency, algorithms, Docker and Linux, Siddhant blends deep system-level expertise with pragmatic engineering practices. Based in Faridabad, India, he brings both hands-on implementation skills and community stewardship to large-scale storage engineering.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science Engineering, Bachelor of Technology - BTech, Computer Science Engineering at Manipal Institute of TechnologyDelhi Public School
English, Hindi, French
Github Skills (11)
ozone10
javas10
oz10
hadoop10
object-store10
back-end-development10
java10
big-data9
aws-s38
s3-bucket8
amazon-s38
Programming languages (2)
Github contributions (5)
apache/ozone
Feb 2021 - 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:503 reviews, 50 commits, 141 PRs in 2 years
Contributions summary:Siddhant appears to be focused on enhancing the functionality and robustness of the Hadoop Ozone file system, specifically concerning URI handling and data node usage information. Their contributions involve modifying code to improve error messages and add a new subcommand for retrieving data node usage metrics. These changes suggest a focus on improving the system's usability and monitoring capabilities. The user made these changes within the Hadoop ecosystem, indicating expertise with distributed storage technologies.
scalableredundantapachebig-dataspark
siddhantsangwan/ozone
Feb 2021 - Mar 2025
Scalable, redundant, and distributed object store for Apache Hadoop
Contributions:389 pushes, 112 branches in 4 years 2 months
scalableredundantapachebig-dataspark
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.