Teams at CSpring

Lead enterprise data architecture and modeling for Medicaid, Medicare, commercial healthcare, and analytics environments. Design conceptual, logical, physical, dimensional, normalized, OLAP, and Data Vault models; define data quality, governance, metadata, security, and compliance practices. Produce model documentation and collaborate with architects, engineers, DBAs, BI developers, and business stakeholders. Support Teradata modernization and migration to Azure Synapse, Databricks, Snowflake, and lakehouse architectures.

Lead end-to-end business analysis for data and technology projects: elicit requirements, create BRDs/functional specs/user stories, map processes, profile source data with SQL, build source-to-target mappings and documentation, support agile delivery and UAT, coordinate stakeholders, and present actionable recommendations to clients.

Design, build, and support cloud data solutions on Azure: develop ETL pipelines, transformations (SQL/Python/PySpark), data models, storage patterns, quality checks, monitoring, and CI/CD; collaborate with stakeholders and document architecture and runbooks.