Summary
Tim Pauley is a Business Intelligence Developer based in Seattle who blends eight years of hands-on BI engineering with two decades of project management experience to deliver scalable, cost-efficient cloud data platforms. He specializes in Microsoft Fabric, Power BI, SQL, Python and large-scale data lakes (AWS S3, Azure Data Lake) and has built terabyte-scale solutions and Spark infrastructure to dramatically improve performance. Tim has modernized reporting for enterprise clients including Microsoft, Boeing, T-Mobile and RedShift-based retail platforms, often migrating legacy systems to Synapse/Azure and converting Cognos to Power BI import models. He also teaches a 30-week BI certificate at the University of Washington, developing curriculum from scratch and mentoring mid-career professionals in real-world cloud data engineering. A practical problem-solver, Tim has a track record of finding hidden efficiencies—once uncovering millions in cost savings and designing reporting that exposed fraud and billing anomalies. His background in accounting and finance plus certificates in Python, Big Data and C# give him a rare blend of financial rigor and engineering depth.
8 years of coding experience
9 years of employment as a software developer
University of Washington
Bachelor of Commerce (BCom), Accounting and Finance, Bachelor of Commerce (BCom), Accounting and Finance at Washington State University
Certificate in Python Programming, Certificate in Python Programming at University of Washington College of Engineering