Summary
Charles Robison is a data engineer and analytics professional with over a decade of experience designing modern data platforms that turn raw operational data into finance-ready reporting and scalable analytics. He specializes in dbt-driven transformations, BigQuery and Snowflake warehousing, and ELT pipelines (Fivetran) to implement complex business logic such as revenue allocation and incremental warehouse-scale processing. Charles has delivered cross-functional solutions for fintech, healthcare, and supply-chain organizations, optimizing performance through partitioning, query tuning, and robust data modeling. An Executive MBA graduate, he pairs technical mastery with business fluency to ensure datasets are audit-ready and actionable for finance and executive stakeholders. Notably, he often operates at the intersection of analytics engineering and accounting workflows, translating nuanced revenue and financial rules into reliable, automated data products.
10 years of coding experience
9 years of employment as a software developer
Executive MBA, Executive MBA at UW Foster School of Business