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Cloud Migration and Modernization of Healthcare Data Pipelines

nix-united.com

Medical

Information Technology

Insurance

Legacy Infrastructure Challenges in Healthcare Data Management

The client's on-premise Hadoop ecosystem was costly to maintain, lacked scalability, and required modernization to support secure, efficient data pipelines for clinical and supply chain data processing.

About the Client

A SaaS provider offering analytics, contract management, and operational oversight solutions for healthcare providers, academic medical centers, and insurance companies.

Modernization Goals for Healthcare Data Architecture

Migrate on-premise data pipelines to a scalable Azure cloud architecture
Improve clinical data validation accuracy and compliance
Reduce operational costs through cloud optimization
Enable seamless data pipeline migration with preserved business logic

Core System Capabilities

Financial reporting platform with competitor benchmarking
Insurance calculation analytics for supply cost optimization
Automated data validation and quality monitoring
Azure Data Factory pipeline orchestration
Delta Lake-based historical data warehouse

Technology Stack Requirements

Python

Azure Data Factory

Azure Databricks

Delta Lake

Apache Spark

Azure DevOps

Octopus Deploy

System Integration Needs

Azure SQL Database connectivity
On-premise to cloud data comparison service
DevOps pipeline integration

Operational Requirements

High scalability for peak healthcare data loads
HIPAA-compliant data security measures
99.9% system uptime SLA
Automated deployment pipelines
Data integrity validation mechanisms

Expected Business Outcomes

Enables 30% reduction in infrastructure costs, improves data processing speed by 5x through cloud optimization, and enhances clinical decision-making through real-time analytics while maintaining strict regulatory compliance.