Nathan Fritter

Senior Data Engineer

San Francisco, California, United States
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Summary

👤
Senior
🎓
Top School
Nathan Fritter is a Senior Data Engineer with 10 years of experience building reliable ETL pipelines, data platforms, and cost-aware cloud solutions across companies from startups to Google and Lyft. Currently at Capital One, he brings deep hands-on expertise in Airflow, BigQuery, Redshift, and cross-cloud migrations, having rebuilt and optimized complex data workflows and led high-impact dataset migrations. He pairs strong technical delivery with stakeholder and project management skills—driving SLA adoption, scoping large migrations, and presenting findings to executives. A UC Santa Barbara Applied Statistics graduate, he has a track record of rapid domain learning (energy, payments, capacity engineering) and automating manual processes to save significant time and cost. Outside work he blends consultancy rigor with a practical outdoors-and-beer sensibility, and actively pursues machine learning and infrastructure improvements through self-led projects and certifications.
code11 years of coding experience
job4 years of employment as a software developer
bookHigh School Diploma (Advanced Scholar), High School Diploma (Advanced Scholar) at Dublin High School
bookBachelor of Science (B.S.), Applied Statistics, Bachelor of Science (B.S.), Applied Statistics at UC Santa Barbara
bookMachine Learning, Machine Learning at Coursera | Stanford
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Github Skills (20)

jupyter-notebook6
kaggle6
webscraper6
feature-extraction6
clustering5
performance-tuning5
natural-language-processing5
sentiment5
machine-learning5
python3
sentiment-analysis3
twitter3
mining3
time-series3
linux3

Programming languages (3)

HTMLJupyter NotebookPython

Github contributions (5)

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Time Series Clustering Based on Characteristic Based Feature Extraction inspired by the paper mentioned in the README
Contributions:14 PRs, 49 pushes, 16 branches in 1 year 4 months
clusteringfeature-extractiontime-series
Contributions:17 PRs, 42 pushes, 9 branches in 1 year 8 months
presidential-electionpresidentialelectionsentimentsentiment-analysis
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