Paul Boal
Healthcare Customer Success at Washington University in St. Louis
St. Louis, Missouri, United States
Summary
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Senior🎓
Top SchoolPaul Boal is a healthcare data and analytics leader with 10+ years of experience helping organizations modernize analytics, transition to value-based care, and turn data into measurable business improvement. He blends technical depth—from data engineering and scraping county-level COVID data—to strategic leadership roles including VP-level delivery and innovation at Amitech and current Healthcare Customer Success at Snowflake. An experienced educator and board president, he teaches graduate courses at Washington University and Saint Louis University and helped found the Arch Data Network to elevate regional data professionals. Paul’s background in building enterprise data warehouses and master data management, combined with an Executive MBA, lets him bridge clinician, product, and engineering perspectives to deliver practical, scalable solutions. He is based in St. Louis and often speaks at national healthcare and technology summits, known for making complex analytics accessible to operational teams.
10 years of coding experience
20 years of employment as a software developer
Executive MBA, Executive MBA at Washington University in St. Louis
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (21)
virus10
javascript10
webscraper10
corona10
scrape10
scraper10
webscraping10
vi10
data-transformation10
scrapy10
html-parsing10
data-scraping10
co10
screen-scraping10
covid-testing10
Programming languages (4)
Github contributions (5)
covidatlas/coronadatascraper
Mar 2020 - Mar 2020
COVID-19 Coronavirus data scraped from government and curated data sources.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits, 11 PRs, 16 comments in 3 days
Contributions summary:Paul primarily contributed to developing data scraping functionality for COVID-19 data from various state sources, specifically focusing on county-level data extraction. Their work involved writing and modifying scrapers for different states (OK, MO, KS), adapting to changes in data formats, and integrating with the project's data processing pipeline. The user demonstrated proficiency in fetching data from web pages, parsing HTML and PDF content, and transforming the extracted information into a usable format for the repository. They also included and managed maintainer information for added reliability.
datadata-sourcesscraped-datascrapinggovernment
paulboal/tdwi-accelerate-2017-python
Sep 2017 - Oct 2017
Contributions:37 commits, 10 pushes in 23 days
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