Rohan Garg
Senior Backend Engineer at Coupang
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolRohan Garg is a Senior Backend Engineer based in Bengaluru with 9 years of experience building scalable systems across CRM, Ad Tech, banking, microelectronics and business intelligence. He combines full‑stack fluency (Java, Go, Python, Node, React, MuleSoft, Ab Initio) with a "fail first, fail fast" learning ethos and has owned high‑scale features such as Myntra's communications platform delivering 400M+ notifications per day. An active open‑source contributor to flagship analytics projects like Apache Druid and Trino, he’s improved SQL engine stability (e.g., joins on __time, IS NOT NULL fixes) and optimized Hive connector and metastore performance—work that reflects deep expertise in query engines and metadata handling. Currently at Coupang, he pairs hands‑on backend development and system design with mentoring and a track record of migrating monoliths toward streaming architectures.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Nirma University, Ahmedabad, Gujarat, India
English, Hindi
Github Skills (18)
apache-calcite10
data-engineering10
testing10
databases10
big-data10
data-base10
apache-druid10
java10
calc10
javas10
hive10
sql10
query-engine10
relational-databases10
sql-database10
Programming languages (2)
Github contributions (5)
apache/druid
May 2021 - Jan 2023
Apache Druid: a high performance real-time analytics database.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:387 reviews, 41 commits, 103 PRs in 1 year 8 months
Contributions summary:Rohan primarily contributed to the Apache Druid database codebase, focusing on enhancements and fixes within the SQL layer. Their work involved adding tests for new features like joins on the `__time` column and addressing issues in existing SQL queries, such as those with `IS NOT NULL` filters in `LEFT JOIN` operations. The user also made changes to improve the stability and functionality of Druid's SQL engine, and also cleaned up dependencies to improve the build process.
real-timebig-datadruiddatabasehadoop
trinodb/trino
May 2019 - Oct 2020
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Role in this project:Back-end Developer
Back-end DeveloperContributions:21 reviews, 13 PRs, 103 comments in 1 year 4 months
Contributions summary:Rohan primarily focused on enhancing the Hive integration within the Trino query engine. Their contributions include adding support for various Hive record writers like `TextRecordWriter`, `SequenceFileRecordWriter`, and `AvroRecordWriter`, enabling more flexible data storage formats. Furthermore, the user optimized the metastore interactions by parallelizing metastore drops and improving statistics updates. These changes aimed to improve performance and extensibility of Trino's Hive connector.
prestodbdbmsindexingjdbcbigdata
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