Nathaniel Young

Data Engineer

San Francisco, California, United States
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Summary

👤
Senior
🎓
Top School
Nathaniel 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.
code9 years of coding experience
job1 year of employment as a software developer
bookHigh School Diploma, 4.2, High School Diploma, 4.2 at The King's Academy
bookBachelor of Science (BS), Computer Science, 3.12, Bachelor of Science (BS), Computer Science, 3.12 at Purdue University
languagesEnglish
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Github Skills (196)

epydoc10
python10
bash10
etl10
automation10
mlops10
orchestration10
streaming10
apache-airflow10
oh-my-zsh10
beam10
data-engineering10
scheduler10
sql10
elt10

Programming languages (12)

TypeScriptPowerShellMDXJavaC++ShellStarlarkAstro

Github contributions (5)

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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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Nathaniel Young - Data Engineer