Summary
James Sheppard is a data scientist with 12 years of experience who designs and operationalizes ETL pipelines and data platforms, primarily on Google Cloud Platform using BigQuery, Airflow, Docker, and Terraform. He combines a strong academic foundation—a PhD in Biomedical Engineering—with hands-on experience migrating on-prem ETL to cloud architectures and moving multi-GB datasets into production data warehouses. At Acxiom and prior roles he has translated complex analytical needs into reliable, auditable pipelines while also building tooling in Python, SQL, and C++ that sped scientific data processing by 5x during his research career. Comfortable bridging technical and non-technical stakeholders, he has a track record in regulatory reporting, financial reporting automation, and reproducible research. Based in Charlotte, NC, James brings a research-driven rigor to pragmatic engineering problems and a history of uncovering efficiency gains that deliver measurable business value.
12 years of coding experience
8 years of employment as a software developer
Master's Degree, Biomedical Engineering, 3.6 / 4.0, Master's Degree, Biomedical Engineering, 3.6 / 4.0 at University of Tennessee Health Science Center & University of Memphis
B.S., Polymer, Textile, and Fiber Engineering, 3.6 / 4.0, B.S., Polymer, Textile, and Fiber Engineering, 3.6 / 4.0 at Georgia Institute of Technology
English