Summary
Shane Curtis is a Sr. Staff Data Engineer specializing in People Analytics with a decade of experience translating HR domain expertise into scalable data solutions at Thermo Fisher Scientific. He progressed from HR analyst roles to senior engineering leadership, blending industrial-organizational psychology training with hands-on skills in R, Python, Azure, SSMS/SSIS and Power BI to turn complex workforce data into actionable insights. Known for bridging product, engineering, and HR teams, he designs analytics platforms and models that inform talent strategy and operational decision-making. His background in research and applied consulting means he pairs rigorous experimental thinking with pragmatic engineering to deliver repeatable, auditable analytics. Based in Texas, he brings a rare combination of behavioral science grounding and production-grade software development to people-focused data problems.
10 years of coding experience
8 years of employment as a software developer
B.S. Psychology, B.S. Psychology at Central Michigan University
Master of Arts (M.A.) Industrial and Organizational Psychology, Master of Arts (M.A.) Industrial and Organizational Psychology at The University of Tulsa