Sumit Maheshwari
Staff Software Engineer at Uber
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolSumit Maheshwari is a Staff Software Engineer based in Bengaluru with 13 years of experience building scalable data infrastructure and platform products. He combines hands-on backend and DevOps expertise with leadership roles across startups and major tech firms, including tech lead positions at Twitter and Uber and senior engineering leadership at Astronomer and Qubole. A long-time contributor and PMC member for Apache Airflow, he implemented robust Qubole integrations and sync/ retry handlers that improved workflow reliability in a widely adopted open-source orchestration platform. Sumit is skilled at turning complex big-data and SaaS/ PaaS requirements into production-ready systems while growing high-performing teams. He blends deep technical ownership with product-minded architecture, often surfacing subtle reliability and operability improvements that pay off at scale.
13 years of coding experience
12 years of employment as a software developer
B.Tech. Computer Science, B.Tech. Computer Science at Maulana Azad National Institute of Technology
English, Hindi
Github Skills (8)
apache-airflow10
workflow-engine10
orchestration10
python10
data-engineering10
devops9
api8
apidoc8
Programming languages (8)
Github contributions (5)
apache/airflow
Dec 2015 - Sep 2024
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:91 reviews, 143 PRs, 59 pushes in 8 years 10 months
Contributions summary:Sumit primarily contributed to the integration and enhancement of Qubole, a platform for programmatic workflow orchestration, within the Apache Airflow project. They added support for Qubole operators, sensors, and hooks, enabling users to execute commands on Qubole directly from Airflow. Furthermore, they refactored the existing Qubole operator to use XCom for interchanging command IDs. The user also implemented the addition of a failure and retry handler to ensure that commands at Qubole and tasks in Airflow are in sync.
monitorpythonschedulerapacheprogrammatically
qubole/qds-sdk-py
Nov 2014 - May 2019
Python SDK for accessing Qubole Data Service
Contributions:8 releases, 19 commits, 57 PRs in 4 years 6 months
sdk-pythonpythonsdkdata-servicequbole
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