Toptal drives data transformation for insurance leader through Databricks migration.

Facing a lack of internal expertise in Databricks and urgent data analysis needs, an insurance company turned to Toptal to migrate its on-premise data warehouse from SQL Server SSIS to Databricks.

Client

A US-based insurance company that delivers actuarial and risk analytics to its clients.

Employees

3,400+

Revenue

$1B

Industry

Business Services

Delivered Services

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Challenge

Migrating the data infrastructure without internal Databricks expertise led to inefficiencies that hindered data analysis and the application of algorithms essential for informed business decisions.

Solution

Lake House Implementation

Toptal delivered a complete lake house solution using Databricks, developing key frameworks and training the insurance company’s personnel on the new platform.

Data Pipeline Optimization

Toptal implemented Medallion Architecture during migration, organizing the data pipeline into Bronze, Silver, and Gold layers to enhance scalability and governance.

Outcome

Improved Processing Efficiency

Toptal’s tailored solutions significantly enhanced data processing capabilities, enabling faster analysis and greater operational efficiency by migrating the on-premise data warehouse to a Databricks-based cloud system.

Future-ready Foundation

The structured migration established a scalable foundation that optimized current data management and prepared the insurance company for future advancements in data analytics and machine learning.

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