Utkarsh Sharma

Senior Software Engineer at Kellton

Delhi, India
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Summary

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Rockstar
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Utkarsh Sharma is a Senior Software Engineer with 10 years of experience building backend systems, MLOps pipelines, and cloud-native solutions across AWS-driven enterprise environments. He has delivered production-grade software at Baker Hughes and now drives engineering efforts at Kellton, blending systems design with DevOps discipline. An active contributor to the Apache Airflow project, he implemented Databricks and Livy operator enhancements and improved hook reliability—showing a knack for making orchestration tooling more robust. With a B.Tech in Computer Science and a habit of replacing brittle patterns with cleaner abstractions, he focuses on pragmatic, test-backed refactors that reduce operational friction. Based in Delhi, he combines hands-on development with continuous learning to solve complex data and workflow challenges.
code10 years of coding experience
job5 years of employment as a software developer
bookB.Tech, Computer Science, B.Tech, Computer Science at Guru Gobind Singh Indraprastha University
languagesEnglish, Hindi
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Github Skills (13)

livy10
apache-airflow10
databricks10
workflow-engine10
orchestration10
sql10
python10
data-engineering10
presto9
devops9
automation9
automations9
trino9

Programming languages (6)

ShellCoffeeScriptJavaScriptGoHTMLPython

Github contributions (5)

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apache/airflow

Jun 2020 - Feb 2025

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
userBack-end Developer & DevOps Engineer
Contributions:6 releases, 556 reviews, 200 PRs in 4 years 8 months
Contributions summary:Utkarsh contributed to the Databricks and Livy operator implementations, adding functionality like template extensions for Databricks operators, retry mechanisms to the LivyHook, and modifying the Presto and Trino hooks. They also focused on refactoring code by replacing HQL references with SQL. Furthermore, the user addressed code structure by removing hard-coded executor reschedule mode coupling and added additional tests cases.
monitorpythonschedulerapacheprogrammatically
astronomer/astro-sdk

Nov 2021 - Jan 2023

Astro SDK allows rapid and clean development of {Extract, Load, Transform} workflows using Python and SQL, powered by Apache Airflow.
Contributions:15 releases, 1145 reviews, 248 commits in 1 year 2 months
polarspythondata-warehouseextract-transform-loaddags
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Utkarsh Sharma - Senior Software Engineer at Kellton