Ambika Garg
Graduate Teaching Assistant
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolAmbika Garg is an AI and data engineer with five years of software experience and a track record of shipping production-grade ML and data workflows across enterprises and startups. Currently a Graduate Teaching Assistant at UT Austin while building AI-driven roster automation at HiLabs, she blends academic rigor from a Master’s in AI with hands-on engineering. At Microsoft she led critical Apache Airflow integrations for Microsoft Fabric, Power BI and Azure Synapse, contributing upstream to the widely used apache/airflow project. Comfortable across ETL, orchestration, Medallion architecture, and cloud-native tooling, she repeatedly turns messy, unstructured data into reliable pipelines. Beyond code, she has taught and mentored students and improved developer experience through documentation and robust testing, a detail that underpins her production-ready approach.
5 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Thapar Institute of Engineering & TechnologyMaster's degree, Artificial Intelligence, Master's degree, Artificial Intelligence at The University of Texas at Austin
Github Skills (14)
azure-synapse10
apache-airflow10
azure10
orchestration10
workflow-engine10
data-pipeline10
data-pipelines10
python10
azure-vm10
azure-cli10
data-engineering10
pytest9
automation9
automations9
Programming languages (3)
Github contributions (5)
apache/airflow
Aug 2023 - Mar 2025
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Data Engineer
Data EngineerContributions:31 reviews, 14 PRs, 77 comments in 1 year 7 months
Contributions summary:Ambika contributed significantly to the Microsoft Azure integration within Apache Airflow, focusing on operators and triggers for Azure Synapse and Power BI. Their work included implementing an Azure Synapse pipeline run operator and a Power BI dataset refresh operator, along with associated hooks and tests. They also addressed documentation and refactored existing code to improve functionality, support async operations, and handle potential errors within the Power BI triggers, improving the platform's support for Azure cloud services.
monitorpythonschedulerapacheprogrammatically
ambika-garg/airflow
Sep 2023 - Mar 2025
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Contributions:618 pushes, 22 branches in 1 year 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.