Nathaniel Young
Data Engineer
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolNathaniel Young is a San Francisco-based data engineer with nine years of experience spanning software engineering, data pipelines, and natural language processing. He currently builds scalable data pipelines at Sayari, applying automation and robust ETL practices to process large datasets efficiently. At Apple, he authored Airflow DAGs and ETL tooling to speed data ingestion with multithreading and streaming. Earlier, he developed backend services and NLP-driven data cleansing at FireEye, integrating with Marketo and other external services. A Purdue University computer science graduate, he blends deep technical rigor with a curiosity for turning complex data into reliable, auditable solutions.
9 years of coding experience
1 year of employment as a software developer
High School Diploma, 4.2, High School Diploma, 4.2 at The King's AcademyBachelor of Science (BS), Computer Science, 3.12, Bachelor of Science (BS), Computer Science, 3.12 at Purdue University
English
Github Skills (200)
epydoc10
python10
auto-update10
bash10
etl10
automation10
mlops10
orchestration10
streaming10
apache-airflow10
oh-my-zsh10
beam10
data-engineering10
scheduler10
sql10
Programming languages (12)
Github contributions (5)
nyoungstudios/alfa
Jul 2021 - Jan 2023
Automatically sets up your dev environment on your macOS or Linux computer
Contributions:149 commits, 51 PRs, 289 pushes in 1 year 6 months
zshrcdevdev-environmentlinuxbash
nyoungstudios/airflow
Apr 2024 - Jan 2025
My contributions to Apache Airflow. See my non-main branches or the upstream repo.
Contributions:32 pushes, 6 branches in 9 months
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