Damon Cortesi
Staff Software Engineer at The Apache Software Foundation
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolDamon Cortesi is a Staff Software Engineer with 18 years of experience building data platforms, developer tooling, and open-source integrations from startup to cloud scale. Based in Seattle, he has led engineering and customer-facing teams at Metabase and AWS and currently builds infrastructure for Spark, Trino, and Iceberg workloads at Airbnb. Damon blends hands-on full‑stack development (notably contributions to Metabase) with deep cloud/analytics expertise—authoring EMR Serverless examples, an EMR CLI, and AWS tooling that improved developer experience across EMR, Athena, and Airflow. He is an Apache Livy committer and has contributed EMR-on-EKS and EMR Serverless features to Apache Airflow, reflecting strong operator/hook design and systems integration skills. A serial founder and early creator of Twitter analytics (TweetStats) and Simply Measured’s data pipeline, he pairs product intuition with practical engineering to make complex analytics workflows simple to operate.
18 years of coding experience
19 years of employment as a software developer
BS Biomedical Computing, BS Biomedical Computing at Rochester Institute of Technology
Stackoverflow
773reputation
34kreached
14answers
0questions
Github Skills (41)
cypress10
data-pipelines10
python10
clojure-cli10
data-engineering10
clojure10
aws10
airflow10
orchestration10
orchestra10
data-pipeline10
testing9
back-end-development9
javascript9
spark9
Programming languages (21)
Github contributions (5)
apache/airflow
Feb 2021 - Jul 2024
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Data Engineer
Data EngineerContributions:42 reviews, 5 PRs, 74 comments in 3 years 5 months
Contributions summary:Damon primarily contributed to the development and enhancement of Amazon EMR and EMR Serverless related features within the Apache Airflow project. They added support for new provider packages, specifically focusing on EMR on EKS, including operators, hooks, and examples. Additionally, the user added features like on_kill support to EMR Serverless job operators and implemented operator links for the EMR Serverless dashboard, S3, and CloudWatch consoles, improving user experience and management capabilities. These changes required knowledge of the EMR ecosystem and its integration with Airflow.
monitorpythonschedulerapacheprogrammatically
metabase/metabase
Jan 2020 - Dec 2020
The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum:
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:1 release, 41 reviews, 31 commits in 10 months
Contributions summary:Damon contributed to the Metabase project by implementing new features and fixing bugs related to both the frontend and backend. They focused on modifying existing code and adding new test cases for different functionalities. Their work included fixing issues in Cypress tests and modifying code related to date and time formats.
datasimplestfastestbusiness-analyticsbusiness-intelligence
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