Azure Databricks Modernization Driving $1M+ Savings

This data modernization initiative transformed legacy infrastructure into a scalable risk and compliance platform, unlocking $1M+ in annual operational savings.

Databricks

Data Modernization for Fintech

The client helps financial institutions and fintech companies manage payment risk through data-driven insights, proactive risk monitoring, and regulatory compliance solutions.

Opinov8 transformed the legacy payment risk platform into a cloud-native SaaS solution on Azure Databricks, creating a scalable data foundation for real-time risk analytics, stronger governance, and AI-ready capabilities.

Compliance Risks

The client’s legacy Delphi-based system for payment risk management was outdated, lacking scalability and automation. It couldn’t process new data formats or support BI, AI, and ML applications. Security vulnerabilities and compliance risks made modernization essential, requiring a cloud-based SaaS solution with enhanced data processing and automation.

Modernization
for Scalable Intelligence

Using Azure Databricks, Opinov8 built a modern data platform powered by Delta Lake, Unity Catalog, Structured Streaming, and automated CI/CD pipelines.
Cloud-Based Modernization
We migrated the client’s system to the cloud using Databricks and Apache Spark, ensuring scalability and high-performance data processing.

A medallion architecture with bronze, silver, and gold layers was implemented to structure and optimize data flow.
Automation and Security
A multi-tenant SaaS model with strict data segregation was introduced for secure operations.

CI/CD pipelines, Terraform, and Azure DevOps automated provisioning and deployment, reducing setup time. Enhanced security measures ensured compliance with financial regulations.

Advanced Data Processing
Support for new data types and formats enabled seamless integration with BI, AI, and ML applications.

The system now efficiently processes, structures, and prepares data, unlocking valuable insights for decision-making.

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Business Value: Data modernization databricks azure

The client now has a scalable, secure, and automated cloud-based solution. Deployment is faster, and data processing is more efficient. The modernized system meets compliance standards while enabling AI-driven insights, positioning the client for growth and innovation in payment risk management.
$1M+ estimated annual operational savings
Scalable architecture supporting continued business growth
40–60% reduction in manual operational effort
The system can now handle increased data volumes and diverse data types.
70–80% faster deployments
Automated CI/CD pipelines and provisioning reduced deployment times.
Enhanced Data Utility
Prepared data is now readily available for BI and ML applications.
Security and Compliance
Improved compliance with SOX and PCI DSS requirements

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