Aaron Kline is a data architect and applied mathematician with nine years of experience building production data platforms, machine learning models, and analytics pipelines. Based in Provo, Utah, he has led teams of up to 20 engineers to design cloud-native solutions using Databricks, Azure, Terraform, and CI/CD tooling while ensuring data governance and GDPR compliance. His background spans hands-on ML work—developing anomaly detection and early-detection models that prevented costly errors—to architecting star-schema warehouses and clean rooms for marketing and telemetry data. He moves fluidly between deep technical implementation (PySpark, SQL, MATLAB) and stakeholder-facing project leadership, translating business requirements into robust data systems. Notably, his academic work modeling brain tumor growth informed his methodical approach to numerical modeling and validation in production settings. He brings a pragmatic combination of research rigor and cloud engineering discipline to high-impact data problems.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.S.) Computational and Applied Mathematics, Bachelor of Science (B.S.) Computational and Applied Mathematics at Brigham Young University
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