Amogh Desai
Member Of The Apache Software Foundation
Bengaluru, Karnataka, India
Summary
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Rockstar🎓
Top SchoolAmogh Desai is a cloud-native software engineer with 7 years of experience building data-platform tooling and production-grade infrastructure for data engineers. As an Apache Airflow committer and PMC member, he focuses on build, deployment and operational improvements—contributing notable enhancements to Helm charts, Docker Compose docs, Kubernetes executor logging, and Kubernetes API client retry behavior for the widely used Apache Airflow project. Proficient in Python, Go, Helm, Kubernetes, AngularJS and Spark, he blends backend and DevOps expertise to make complex data workflows more reliable and maintainable. Currently at Astronomer after a senior engineering stint at Cloudera, he brings hands-on experience shipping cloud-native features and improving developer experience. An open-source enthusiast, he often works at the intersection of documentation, tooling, and infra—helping projects scale from local development to production clusters.
7 years of coding experience
4 years of employment as a software developer
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at PES University12th, 12th at DAV Public School, Pune
English, Hindi, Marathi, Kannada
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
kubernetes10
docker10
helm10
dockers10
python10
kubernetes-pods10
cicd9
apidoc9
api9
configuration-management9
documentation8
testing7
json7
Programming languages (13)
Github contributions (5)
apache/airflow
Sep 2021 - Apr 2025
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:1618 reviews, 525 PRs, 138 pushes in 3 years 6 months
Contributions summary:Amogh primarily contributed to the build and deployment aspects of the Apache Airflow project. Their work included updating documentation related to Docker Compose and Helm charts, enhancing logging within the HTTP hook and Kubernetes executor, introducing and maintaining configurations for the Kubernetes API client retry parameters. They also implemented support for features like customisable webserver configurations and connection management, demonstrating their focus on the infrastructure and operational aspects of the project.
monitorpythonschedulerapacheprogrammatically
amoghrajesh/airflow
Nov 2022 - Apr 2025
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Contributions:426 pushes, 213 branches, 2 tags in 2 years 4 months
monitorapacheprogrammaticallyapache-airflowairflow
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