Rick Shapiro is a Data Engineer with a decade of experience designing and operating end-to-end data infrastructure, from single-team builds to ETL and warehouse systems that support thousands of users and hundreds of daily jobs. He’s delivered scalable solutions across GCP and Redshift ecosystems, built streaming ingestion and AB-testing frameworks, and automated pipelines with Airflow, DBT, Terraform, and custom operators. At companies like Better.com, Teachers Pay Teachers, Carta, and now MotherDuck, he has focused on reliability, near-real-time replication, and making data accessible to product and analytics consumers. A former data scientist trained in predictive modeling and causal inference, he blends rigorous analytical thinking with pragmatic engineering to productionize models and analytics. Based in New York and self-described as a “wannabe mad scientist,” he brings a creative, experimental streak to system design and tooling that helps teams move fast without sacrificing data quality.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Fine Arts (B.F.A.) Jazz/Jazz Studies, Bachelor of Fine Arts (B.F.A.) Jazz/Jazz Studies at The New School
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