Andy Hadjigeorgiou
Staff Engineering Manager & Tech Lead, Developer Experience at Flatiron Health
New York, New York, United States
Summary
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Senior🎓
Top SchoolAndy Hadjigeorgiou is a Staff Engineering Manager and Tech Lead for Developer Experience at Flatiron Health with 13 years of software engineering experience across financial services and healthcare. He combines hands-on expertise in Ruby on Rails, React, and Python with leadership in release and data platform engineering to improve developer productivity and delivery. At Flatiron he progressed from data infrastructure to leading release engineering and now shapes tooling and DX for engineering teams. Outside the company he contributed significant Redshift integration and documentation improvements to the widely used Apache Airflow project, strengthening AWS workflow capabilities. Based in New York and Columbia-educated in Computer Science, he blends production-grade data pipeline work with a knack for simplifying complex operational workflows. Colleagues would describe him as a pragmatic engineer-manager who turns backend integrations and CI/CD pain points into reliable developer-facing systems.
13 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Columbia University
Stackoverflow
603reputation
69kreached
6answers
21questions
Github Skills (23)
aws-redshift10
apache-airflow10
boto10
data-pipelines10
python10
data-engineering10
amazon-redshift10
aws10
data-pipeline10
testing9
workflow-engine9
orchestration9
orchestra9
cicd7
bluehost6
Programming languages (5)
Github contributions (5)
apache/airflow
Jun 2017 - Feb 2018
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Data Engineer
Data EngineerContributions:17 PRs, 34 comments in 8 months
Contributions summary:Andy made significant contributions to the Apache Airflow project, primarily focusing on extending its capabilities for data pipeline management and integration. They added new hooks and sensors for interacting with AWS Redshift, including functionality for cluster management and snapshot operations. The user also addressed unit test issues and improved the documentation. These contributions enhanced Airflow's ability to interface with AWS services and streamlined the execution of data workflows within the AWS ecosystem.
monitorpythonschedulerapacheprogrammatically
andyxhadji/vimrc
May 2015 - Jun 2020
Contributions:5 pushes, 1 branch in 5 years 1 month
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