By leveraging Aladdin Data Cloud and AWS-native services, Coforge transformed the client’s operational data landscape into a scalable, automated, and high-performance platform. The modernization enabled faster access to trusted data, reduced operational complexity, and empowered data-driven decision-making across investment operations.
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The Challenge
The client’s legacy enterprise data warehouse, originally designed for historical audit data, had evolved into a complex operational integration platform. The addition of TIBCO BW middleware increased architectural complexity, making the system difficult to scale and maintain.
Rapid data growth led to performance bottlenecks and slower query response times, impacting business operations. Data integration across multiple upstream systems introduced inconsistencies, requiring significant manual effort for reconciliation and validation.
ETL processes became increasingly complex and time-consuming, delaying data availability and increasing operational risk. High maintenance overhead and dependency on legacy tools diverted resources from strategic initiatives. Additionally, onboarding new data sources was slow and error-prone, limiting agility and responsiveness to evolving business needs.
Our Approach
Cloud-Native Data Platform Architecture
Designed and implemented a scalable cloud-native architecture, enabling the decommissioning of legacy data warehouse systems and TIBCO BW middleware.
Automated Data Ingestion with Aladdin Data Cloud
Built AWS-based data pipelines integrated with Aladdin Data Cloud (Snowflake) for high-performance, scalable data ingestion and processing.
Streamlined ETL & Data Orchestration
Leveraged AWS Step Functions to orchestrate automated ETL workflows, reducing complexity and ensuring consistent, timely data availability.
API-Led Data Access Layer
Developed serverless, entity-level APIs (e.g., holdings, positions) using Node.js and AWS Lambda to enable secure, scalable data access for downstream systems.
Serverless & Low-Maintenance Architecture
Adopted serverless design principles to minimize infrastructure overhead and allow teams to focus on higher-value innovation initiatives.
Partner / Technology Ecosystem
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Aladdin Data Cloud (Snowflake)
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AWS (Lambda, Step Functions, Data Lake)
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Node.js APIs
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Cloud-native integration frameworks

Impact to Date
-40%
-30%
+50%
-60%
Business Impact
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Simplified IT landscape through decommissioning of legacy data warehouse and middleware
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Reduced licensing and maintenance costs with cloud-native and serverless architecture
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Improved data integrity through standardized ingestion and synchronization processes
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Enhanced operational efficiency with end-to-end automation and reduced manual intervention
- Accelerated onboarding of new data sources and applications
- Enabled faster, reliable access to investment data for improved decision-making
