Ross Palmer is a Senior Data Engineer based in Denver with 11 years of experience building scalable data platforms and ML-enabled pipelines across industries from gaming to food retail and healthcare. He specializes in Scala and Python on Spark/Databricks, transforming messy, large-scale data into standardized, production-ready assets and automating fragile Excel and manual workflows into robust cloud solutions. Ross has led efforts to convert legacy ETL stacks to Databricks, built streaming systems to surface AI behavior to analysts, and implemented automated data quality and documentation tooling to keep platforms reliable. Trained in physics and business analytics, he blends scientific rigor with practical product sensibility to make complex analytics accessible to stakeholders. He favors functional programming and infrastructure-as-code patterns (Terraform, Airflow, AWS) to deliver repeatable, observable systems. Colleagues rely on him to tame chaotic data environments and increase experiment velocity through pragmatic engineering.
11 years of coding experience
9 years of employment as a software developer
Master’s Degree Business Analytics, Master’s Degree Business Analytics at University of Colorado Boulder - Leeds School of Business
Bachelor of Arts (BA) Physics, Bachelor of Arts (BA) Physics at University of Colorado Boulder
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