Building a Scalable Data Lakehouse for a Financial Services Provider

Project Overview

A leading financial services company partnered with Infoslab to design and implement a modern cloud-based data platform. The client's goal was to centralize fragmented data systems, enable real-time analytics, and improve data quality for regulatory and business reporting. Infoslab developed a scalable, secure Data Lakehouse architecture using AWS and Databricks, transforming their data infrastructure into a future-ready foundation for growth.

Industry

Finance

Challenge

• Siloed data across multiple legacy systems

• Slow and error-prone manual ETL processes

• Poor data quality impacting compliance and business intelligence

• No real-time analytics capabilities

• Increasing regulatory pressures (GDPR, PCI DSS)

Requirement

The need for a centralized, secure, and automated data platform was critical to achieving operational efficiency and regulatory compliance.

Solution & Integration

Data Ingestion & Integration

• Real-time ingestion using Apache Kafka and AWS Kinesis.

• Batch ingestion from legacy systems using AWS DMS and Apache Airflow.

Data Lakehouse Development

• Centralized data storage on AWS S3 with Delta Lake for ACID compliance.

• Metadata management with AWS Glue Data Catalog.

Data Processing & ETL

• Built scalable ETL pipelines using PySpark on Databricks.

• Embedded Great Expectations to ensure data quality at each pipeline stage.

Analytics Enablement

• Real-time query access enabled through AWS Athena and Redshift Spectrum.

• Built Power BI dashboards for business users to self-serve analytics.

Security & Compliance

• Implemented data encryption (at rest and in transit) using AWS KMS.

• Setup role-based access control and fine-grained permissions using Lake Formation.

• Enabled full audit logging and monitoring via AWS CloudTrail and Datadog.

Business Value Delivered

• 65% faster data processing and reporting timelines.

• 45% reduction in regulatory report preparation efforts.

• 100% centralized data view across departments.

• Enabled self-service analytics for over 120+ business users.

• Foundation for future AI/ML initiatives using a clean, scalable data platform.

Why Infoslab?

At Infoslab, we help businesses unlock the true potential of their data. Our Data Engineering teams specialize in designing high-performance, scalable, and secure cloud data platforms that empower real-time insights and drive operational excellence

Looking to modernize your data infrastructure?

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