Data Engineering
Modern Healthcare Data Platform
- Challenge
- A healthcare provider struggled with fragmented patient and operational data spread across multiple systems, making reporting slow, inconsistent, and difficult to trust.
- Solution
- Designed and implemented a cloud-native data engineering platform that automated data ingestion, transformation, validation, and reporting. Built scalable ETL pipelines and centralized datasets to provide reliable analytics for business and operational teams.
- Architecture
- Source Systems → ETL Pipelines → Cloud Data Warehouse → Analytics Dashboard
- Technologies
- PythonSQLSnowflakeAzureAirflowPower BI
- Business Outcome
- Reduced manual reporting effort, improved data quality, and enabled faster business insights through automated pipelines and centralized reporting.
