Nathaniel Young
Technical Lead, Data Engineering
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolNathaniel Young is a data engineer based in San Francisco with nine years of experience building scalable data pipelines, automation, and NLP-backed data quality tooling. He has driven high-throughput ETL and validation systems at Apple and Sayari, optimizing workflows with Airflow, multithreading, streaming, Docker/Kubernetes, and cloud storage for workloads that include terabytes of imagery and video. Comfortable across backend APIs, schema design, and distributed processing, he also brings product-minded full‑stack experience from earlier roles automating marketing data enrichment and building custom ML-backed text-cleaning services. A Purdue CS graduate, he blends hands-on engineering with a knack for finding and automating repetitive data problems—often surfacing subtle data-quality issues via custom validation, EXIF checks, and semantic heuristics.
9 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at The King's AcademyBachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Purdue University
English
Github Skills (165)
epydoc10
python10
etl10
automation10
mlops10
orchestration10
apache-beam10
streaming10
apache-airflow10
oh-my-zsh10
beam10
data-engineering10
big-data10
scheduler10
audio10
Programming languages (10)
Github contributions (5)
nyoungstudios/alfa
Jul 2021 - Jan 2023
Automatically sets up your dev environment on your macOS or Linux computer
Contributions:10 reviews, 149 commits, 77 PRs in 1 year 6 months
dev-environmentlinuxmacoscollaboratedotfiles
nyoungstudios/Photoshop-Resize-Scripts
Jan 2020 - Jul 2020
Contributions:15 commits, 14 pushes, 1 branch in 5 months
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