Meeth Gala
Sr. Software Engineer at LinkedIn
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolMeeth Gala is a senior software engineer based in the San Francisco Bay Area with nine years of experience building data-driven systems and scalable backend services across organizations like LinkedIn, PayPal, and Walmart Technology. Trained at Carnegie Mellon, he combines strong problem-solving and systems design chops with a knack for asking the right questions to turn business needs into measurable technical solutions. He has hands-on experience in data engineering and ML, contributing to Apache Gobblin to improve reliability, metrics, and Iceberg integrations for large-scale data ingestion. Comfortable across the stack, Meeth blends production engineering with analytical storytelling—helping teams make smarter, data-backed decisions. Outside of work he’s adventurous, enjoys dance and sports, and brings that same energy to collaborative engineering and mentorship.
9 years of coding experience
5 years of employment as a software developer
I.C.S.E, I.C.S.E at Vissanji academyHigher Secondary Certificate, Science, Distinction, Higher Secondary Certificate, Science, Distinction at Sathaye CollegeMaster's degree, Information Systems Management, Master's degree, Information Systems Management at Carnegie Mellon University - Heinz College of Information Systems and Public PolicyEngineer’s Degree, Information Technology, Engineer’s Degree, Information Technology at Dwarkadas J. Sanghvi College of Engineering
English, Hindi, Gujarati, Marathi, Kutchi
Github Skills (19)
filesystem10
data-pipelines10
hadoop10
file-operations10
data-management10
java10
data-ingestion10
javas10
fileio10
apache-iceberg10
ice10
data-pipeline10
management8
replication8
user-data8
Programming languages (1)
Github contributions (5)
apache/gobblin
Sep 2022 - Jan 2023
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 & Data Engineer
Back-end Developer & Data EngineerContributions:189 reviews, 5 commits, 19 PRs in 4 months
Contributions summary:Meeth primarily contributed to the Apache Gobblin project, focusing on data integration and management tasks. Their work involved implementing features like fast-fail mechanisms during work unit generation, integrating Iceberg for Distcp operations, and enhancing file system interactions with ACL and sticky bit support. The user also addressed bugs, improved code quality, and added metrics for monitoring data pipelines. These changes focused on improving the functionality, reliability, and efficiency of the data ingestion framework.
datadcosdata-streambig-data-integrationbatch-data
meethngala/gobblin
Aug 2022 - Sep 2023
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.
Contributions:71 pushes, 21 branches in 1 year 1 month
big-data-integrationbatch-dataecosystemsaspectsdata-ingestion
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