Rodrigo Araya
Senior Software Engineer at Netflix
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRodrigo Araya is a Senior Software Engineer with 13 years of experience specializing in high-performance computing, real-time control software, and robotics, currently based in San Francisco and working at Netflix. He holds an M.Sc. in Computer Engineering Sciences and brings deep C++ and Python expertise, a strong GNU/Linux background, and hands-on experience with embedded systems and microcontrollers. Rodrigo has built production integrations and DevOps automation—most notably contributing to Marquez's Airflow integration to collect and manage data lineage—demonstrating comfort across back-end systems and infrastructure. His background spans academia, research-grade engineering at the National Radio Astronomy Observatory, and senior engineering roles at Zillow and WeWork, showing adaptability across distributed, multicultural teams. Native in Spanish with full professional English and some German, he combines rigorous academic training with practical, system-level engineering that bridges low-latency control and large-scale data platforms.
13 years of coding experience
6 years of employment as a software developer
B.Sc., Informatics Engineering, B.Sc., Informatics Engineering at Universidad Técnica Federico Santa MaríaElementary, Middle and High school, Elementary, Middle and High school at Deutsche Schule Carl Anwandter
Github Skills (10)
metadata10
python10
airflow10
data-engineering10
cicd9
devops9
testing9
data-lineage9
release-management7
sql4
Programming languages (4)
Github contributions (5)
MarquezProject/marquez
Jan 2019 - Jan 2020
Collect, aggregate, and visualize a data ecosystem's metadata
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:50 commits, 4 PRs, 13 pushes in 1 year
Contributions summary:Rodrigo primarily contributed to the integration of Marquez with Airflow, developing extensions to Airflow's DAG functionality for metadata collection and submission. They implemented a `MarquezDag` class, incorporating Marquez client functionality for job and job run creation, and state management. Further contributions include the development of a client and supporting infrastructure, as well as tests, for the integration. They also worked on build/release automation.
datavisualizedata-catalogdata-dictionarymetadata
roaraya8/dotfiles-lite
Jun 2017 - Aug 2018
Contributions:3 pushes in 1 year 2 months
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