Modernizing BFSI Data Infrastructure with a Scalable Lakehouse

Company

Private Limited

Domain

BFSI

Service

Data Lakehouse Migration

Technology

Snowflake

DBT

Databricks

Problem Statement

Legacy Data Infrastructure Limited Scalability and Business Insights

The organization’s legacy data environment struggled to support growing BFSI data volumes and evolving analytics requirements. Slow ETL processes delayed reporting, while fragmented data silos made it difficult to maintain consistent and governed information. Business teams lacked timely access to trusted data and actionable insights, limiting effective decision-making and self-service analytics. The organization needed a scalable, unified data platform to modernize data processing, strengthen governance, and accelerate analytics.

Key challenges included:

Legacy infrastructure unable to efficiently handle growing BFSI data volumes.
Slow ETL pipelines delaying reporting and analytics.
Fragmented data silos without a unified governance layer.
Business teams lacking timely access to insights for decision-making.

Solution

Migrating from Legacy Data Silos to a Modern Lakehouse

Peramal implemented a Databricks Lakehouse architecture using Delta Lake to create a scalable and governed data foundation.

The solution included:

Databricks Lakehouse migration.
Delta Lake architecture.
Unity Catalog for centralized governance.
MLflow for model lifecycle management.
Power BI self-service analytics and executive dashboards.

Impact & Benefits

A faster, governed, and analytics-ready data platform.

60%+ reduction in data processing time.

Replaced fragmented legacy systems with a unified Delta Lake architecture.
Established a centralized governance layer using Unity Catalog.
Enabled data sharing and compliance.
Delivered self-service BI dashboards for real-time executive insights.

Let's Get Your Project Started

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