Protecting Data Integrity for a Global Healthcare Platform

We strengthened the data integrity infrastructure for a population health platform by implementing robust validation frameworks spanning the entire data lifecycle. Built on Microsoft Azure, the solution leverages Apache Spark and Azure Databricks running on Azure Data Lake Storage Gen2 with Delta Lake for scalable, reliable data storage and processing. Advanced machine learning models using Python libraries such as Scikit-learn and TensorFlow detect anomalies, classify issues, and forecast trends. Automated pipelines enforce checksum validations, schema checks, and data quality rules via Apache Airflow. Comprehensive data lineage tracking with Apache Atlas and audit trails ensure transparency. Custom Power BI dashboards deliver real-time data health insights. The platform passed HIPAA, GDPR, and SOC 2 audits with zero findings, enabling trusted, scalable AI-driven analytics and regulatory compliance.