Phani Kumar
Senior Manager at Astronomer
Hyderabad, Telangana, India
Summary
🤩
Rockstar🎓
Top SchoolPhani Kumar is a seasoned engineering leader with over a decade of experience building scalable, high-availability data platforms and driving large projects across healthcare and investment banking. Currently Senior Manager at Astronomer, he progressed from hands-on Airflow engineering to leadership while contributing to Apache Airflow as a committer—improving MyPy coverage and cloud provider hooks—which underscores his focus on code quality and production reliability. His background spans data science and machine learning, big data stacks (Spark, Hadoop ecosystem, Kafka) and deep expertise in Sybase ASE/IQ, enabling him to bridge legacy RDBMS and modern data engineering. Known as a problem solver and lifelong learner, he frequently switches hats between architect, developer, and technical manager to deliver pragmatic solutions. He is Sybase-certified and pursuing PMP, combining technical depth with delivery discipline to lead cross-functional teams. Based in Hyderabad, he brings a practitioner’s perspective to platform design informed by both finance-grade SLAs and open-source collaboration.
4 years of coding experience
14 years of employment as a software developer
Jawaharlal Nehru Technological University HyderabadMani Jeremiah High School,Hyderabad
English
Github Skills (12)
apache-airflow10
google-cloud-platform10
bigquery10
data-pipeline10
data-pipelines10
python10
data-engineering10
gcp10
trino9
sql9
testing8
snowflake8
Programming languages (2)
Github contributions (5)
apache/airflow
Jan 2022 - Apr 2025
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:535 reviews, 152 PRs, 65 pushes in 3 years 3 months
Contributions summary:Phani contributed to the Apache Airflow project by addressing MyPy issues in the Snowflake provider and enabling asynchronous job submission in the BigQuery hook, indicating a focus on improving code quality and performance. They also fixed a multi-query scenario in a BigQuery example DAG and added functionality for a TrinoOperator, which improved the functionality and flexibility of the tool. They also added various test connection methods to Azure and Google Cloud hooks.
monitorpythonschedulerapacheprogrammatically
astronomer/astronomer-providers
Dec 2021 - Dec 2022
Airflow Providers containing Deferrable Operators & Sensors from Astronomer
Contributions:11 releases, 614 reviews, 114 commits in 1 year
pythonastronomersensorsprovidersairflow-providers
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