Paul Williams
Data Architect
West Nottingham Township, Pennsylvania, United States
Summary
👤
Senior🎓
Top SchoolPaul Williams is a Data Architect with a decade of hands-on experience designing and optimizing data platforms, ETL pipelines, and infrastructure across higher education and research environments. He combines deep Linux, Python, SQL, Docker, Airflow, and cloud (AWS/GCP) expertise with systems administration and security rigor, having migrated legacy workflows to dbt and cut warehouse build time by 40% through parallelization. At the University of Delaware he manages Airflow end-to-end and contributes upstream to Apache Airflow—improving SFTP, SSH, and Docker developer workflows—demonstrating a commitment to maintainable, production-ready tooling. Comfortable moving between code, orchestration, and ops, he automates repeatable processes to maximize business value while keeping security and reliability front and center. Based in rural Pennsylvania, he pairs academic research computing experience (HPC integrations, REST APIs, and cloud learning) with a pragmatic, improvement-focused mindset that favors measurable impact.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science, Apparel, Housing, & Resource Management - Family Financial Management Option, Summa Cum Laude, Bachelor of Science, Apparel, Housing, & Resource Management - Family Financial Management Option, Summa Cum Laude at Virginia Tech
Github Skills (13)
apache-airflow10
paramiko10
docker10
workflow-engine10
orchestration10
orchestra10
sftp10
python10
dockers10
data-engineering10
ssh10
automation9
automations9
Programming languages (10)
Github contributions (5)
apache/airflow
May 2022 - Sep 2022
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:10 reviews, 6 PRs, 22 comments in 4 months
Contributions summary:Paul's contributions focused on enhancing the Airflow platform's functionality and maintainability. They addressed Docker-related issues in WSL 2 environments, optimizing the development setup. Furthermore, they implemented features for SSH connections, enabling the use of disabled algorithms. Additionally, they refactored the SFTP hook to utilize paramiko, improving efficiency and maintainability. They also added the support for the list of file paths in SFTP operator.
monitorpythonschedulerapacheprogrammatically
pauldalewilliams/airflow
May 2022 - Jun 2023
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Contributions:117 pushes, 11 branches in 1 year 1 month
monitorbigqueryapacheprogrammaticallyapache-airflow
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