John Bowyer
Manager, Data Engineer
Tuscaloosa, Alabama, United States
Summary
👤
Senior🎓
Top SchoolJohn Bowyer is a seasoned data engineering leader with 10+ years building scalable, secure cloud data platforms and reusable templates that compress delivery cycles from months to weeks. He has led cross-functional teams at the CDC and major contractors to standardize data discovery, ingestion, and visualization—delivering measurable productivity gains such as reducing report production from days to minutes. Comfortable across Azure, AWS, Databricks, Spark, Power BI and modern auth stacks (OAuth/OIDC/SAMS/Keycloak), he blends software security, CI/CD, and SRE practices into data modernization efforts. Currently driving data engineering at CareQuest to improve oral health outcomes, he also champions CDC open-source collaboration through the GIFT project, underscoring a public-health mission beyond typical enterprise work. Known for packaging security and testing as reusable libraries, he consistently turns complex, regulated requirements into auditable, repeatable solutions.
10 years of coding experience
18 years of employment as a software developer
Institute of Comparative Political and Economic Systems, Institute of Comparative Political and Economic Systems at Georgetown UniversityUniversity of GeorgiaPost Baccalaureate Information Technology, Post Baccalaureate Information Technology at Georgia State University
Spanish
Stackoverflow
1,373reputation
110kreached
31answers
40questions
Github Skills (124)
sql9
authentication9
ngx-admin9
refresh9
implicit9
responsive9
admin9
openid9
implicit-flow9
angular8
ng2-admin8
pkce8
javascript8
tag-input8
visuals8
Programming languages (7)
Github contributions (5)
CDCgov/cdh-lava-react
Oct 2022 - Oct 2022
CDC Data Hub Lifecycle, Analysis & Visualization Accelerator (LAVA) REACT Components based on machine readable requirements.
Contributions:10 commits, 159 PRs, 247 pushes in 1 day
data-catalogmetadatatest-automationdata-qualitydata-science
getcommunityone/delta-spark-handbook
Feb 2025 - Mar 2025
A comprehensive collection of resources and examples for working with Delta Lake and Apache Spark, designed to leverage the power of the Delta Lake table format. This repository provides practical implementations and guidance for building data lakes using the open-source Delta Lake ecosystem.
Contributions:29 PRs, 148 pushes, 5 branches in 1 month
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