David Potter
Python Engineer at unstructured.io
Portland, Oregon, United States
Summary
🤩
Rockstar🎓
Top SchoolDavid Potter is a Python engineer with eight years focused on data engineering, building resilient ETL pipelines and production-ready analytics systems using PySpark, Airflow, DBT, BigQuery and Databricks. Based in Portland, he combines a strong software-development mindset with hands-on machine-learning and data-prep experience to support financial quants and data scientists. His career bridges advertising and creative tech—where he built cloud rendering and automation tools—with modern data platforms, giving him a knack for pragmatic tooling and observability. Currently at unstructured.io, he contributes to Python-first workflows that unlock unstructured data at scale. Unusually, his background in motion graphics and AR/VR has given him a long history of scripting, systems integration and product-focused prototyping that informs his engineering tradeoffs.
8 years of coding experience
7 years of employment as a software developer
BS Environmental Science, BS Environmental Science at UC Santa Barbara
Github Skills (74)
donut10
mlops10
deep-learning10
labeling10
ml10
nlp10
preprocessing10
data-pipelines10
data-science10
information-retrieval10
docx10
natural-language-processing10
langchain10
ocr10
pdf-to-text10
Programming languages (8)
Github contributions (5)
potter-potter/potter-potter.github.io
May 2019 - Jun 2022
Contributions:30 pushes, 1 branch in 3 years 1 month
potter-potter/JavascriptSnippets
Feb 2018 - Mar 2020
Contributions:2 pushes, 1 branch in 2 years
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