Raymond Etornam
Senior Software Engineer at Domino Data Lab
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolRaymond Etornam is a Senior Software Engineer based in San Francisco with 15 years of experience building reliable, full-stack systems for startups and enterprise teams. He combines back-end and DevOps expertise—particularly around Kubernetes and Docker—with front-end polish, having contributed to high-profile open-source projects like Mozilla’s bedrock and Apache Airflow. At Domino Data Lab and Collective Health he has driven production-grade features and infrastructure improvements, bridging developer workflows and operational concerns. Notably, his open-source work includes fixes spanning UI templates to Kubernetes security contexts, showing a rare comfort moving between UX, backend logic, and deployment plumbing.
15 years of coding experience
10 years of employment as a software developer
BSc,, Computer Science, BSc,, Computer Science at Kwame Nkrumah University of Science and Technology, Kumasi
English
Stackoverflow
329reputation
56kreached
14answers
0questions
Github Skills (31)
apache-airflow10
debug10
kubernetes10
javascript10
docker10
data-pipelines10
python10
django10
css10
workflow-engine10
dockers10
kubernetes-pods10
html10
lessc10
data-pipeline10
Programming languages (12)
Github contributions (5)
mozilla/bedrock
Jan 2013 - Aug 2014
Making mozilla.org awesome, one pebble at a time
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:57 commits in 1 year 7 months
Contributions summary:Raymond contributed to various aspects of the mozilla/bedrock repository, including front-end UI updates, back-end modifications (e.g., URL redirects, database changes), and content migrations. They addressed bugs, implemented new features (manifesto page migration), and updated links. Their work encompassed changes to templates, CSS, JavaScript, and URL configurations, indicating a broad understanding of the project's codebase and functionality.
pebblefirefoxpythondjangocss
apache/airflow
Aug 2018 - Aug 2020
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:9 PRs, 22 comments in 2 years
Contributions summary:Raymond primarily contributed to improving the Apache Airflow codebase, focusing on enhancing the Kubernetes executor, addressing JSON encoding issues in Docker integration, and adding infrastructure components. They implemented fixes for security contexts within Kubernetes, ensuring correct integer values, and resolved JSON encoding errors within the Docker provider. In addition, the user added a default robots.txt file and updated JavaScript packages, showing involvement in both backend and frontend aspects.
monitorpythonschedulerapacheprogrammatically
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