Build end-to-end data pipelines from ingestion through transformation, semantic modeling, dashboards, and visualization. Gather business requirements, define metrics and dimensions, design governed semantic layers, and create self-service analytics. Collaborate with engineers, data scientists, delivery leads, and clients while applying testing, version control, CI/CD, documentation, and scalable engineering practices. Contribute reusable data models and delivery patterns to the company’s analytics product and intellectual property.