Arjun Singh Bora
Senior Applied Scientist at LinkedIn
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolArjun Singh Bora is a Senior Applied Scientist based in Mountain View with nine years of experience building data-driven systems and production ML at scale. With an MTech from IIT and a master's in Computer Engineering from SVNIT, he blends strong statistical foundations with practical engineering across Spark, computer vision, and Linux-based distributed systems. His tenure at Microsoft and now LinkedIn reflects a track record of turning research into production features and optimizing large-scale data pipelines. An active back-end contributor to Apache Gobblin, he has improved ingestion and staging semantics to make distributed data management more reliable. Known for pragmatic problem-solving, he pairs deep technical skills with an eye for observability and robust data lifecycle handling.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Engineering, Master's degree, Computer Engineering at Sardar Vallabhbhai National Institute of Technology, Surat
Github Skills (7)
javas10
java10
data-engineering10
data-processing9
back-end-development9
kafka9
apache8
Programming languages (3)
Github contributions (5)
apache/gobblin
Mar 2017 - Nov 2022
A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:761 reviews, 152 commits, 443 PRs in 5 years 8 months
Contributions summary:Arjun primarily focused on modifying the data ingestion framework by implementing changes to the code. Their contributions included removing fork branch indexes, and adding changes to modify how writer staging and output directories were used. They also enhanced data management with more information in events for gobblintrackingevent distcp ng. These changes likely improved data processing and management.
datadcosdata-streambig-data-integrationbatch-data
arjun4084346/venice
Oct 2024 - Apr 2025
Venice, Derived Data Platform for Planet-Scale Workloads.
Contributions:219 pushes, 28 branches in 5 months
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