Case Study


Modernizing Data Engineering with Seamless Migration from Informatica to DBT Cloud

A leading USA based insurance and financial service provider aimed to modernize their data ecosystem. To improve its growing data needs, the client wanted a transition from Informatica Intelligent Cloud Services (IICS) to DBT Cloud. With Systech’s expertise, the organization successfully executed a large-scale migration while improving speed, security and usability. 

Business Needs 

To modernize its Customer Data Hub and to support enterprise- wide data transformation, the client needs to change: 

  • Delayed Data Delivery – Slow data processing pipelines hindered timely insights required for customer engagement and decision-making. 
  • Fragmented Data Sources – Disconnected systems made it difficult to create an unified and accurate view of customer data. 
  • Limited Data Sharing – Collaboration across teams was a hinderance by restricted data access. 

Systech Delivery  

Systech led a cloud modernization effort to help the client move from legacy platforms to a scalable, modern architecture. The team migrated the Customer Data Hub from AWS Redshift to Snowflake and over 500 pipelines from Informatica to DBT Cloud.  

Solution 

  • Streamlined Data Ingestion – Designed and deployed a Python-based ingestion framework to efficiently extract data from various internal and external sources into Snowflake staging layers. 
  • Data Quality Assurance – Ensured data completeness, accuracy, and consistency throughout the transformation process. 
  • Accelerated Pipeline Migration – Transitioned over 500 legacy Informatica pipelines to DBT Cloud using automation and reusable macros, enabling faster development. 
  • Seamless Platform Transition – Migrated the Customer Data Hub from AWS Redshift to Snowflake using Systech’s migration utility, ensuring a smooth transition with consistent data structures and minimal business impact. 
  • Scalable Data Sharing Enablement – Enabled enterprise-wide data sharing within DBT Cloud without the requirement of redundant pipelines and integrated them with Snowflake Marketplace to support a secured consumption of external data sources. 

Business Impact 

  • 40% Performance Improvement – Faster data processing ensures timely delivery to business users and downstream consumers. 
  • 500+ Pipelines Migrated Seamlessly – Automated refactoring of Informatica pipelines into DBT Cloud accelerated development and reduced manual effort. 
  • Enterprise-wide Data Access – Empowered teams across the organization with seamless and governed access to shared data, eliminating the need for additional pipeline development. 
  • Improved Data Security and Governance – Enhanced data protection using DBT Cloud’s built-in security features, aligning with internal governance standards. 
  • Scalable Data Democratization – Established a framework for secure, scalable data access across departments. 

Related Resources:

Empowering Productivity with Generative AI: Transforming Customer Support and Agile Delivery Operations

Discover how Systech used Generative AI to streamline customer support for a leading insurance provider.

Migrating Snowflake from AWS to Azure with Replication and Failover – Systech’s Successful Execution

Learn how Systech enabled seamless Snowflake migration with real-time replication and zero disruption.

Enhancing Storage and Query Performance through Databricks Assessment and Remediation

Explore how Systech enhanced storage and query speeds with targeted Databricks optimization.