Success Story.

Cloud Data Platform Development for a Global Home Emergency Services Provider

A multinational organization headquartered in the UK, offering subscription-based emergency repair and home improvement services across markets.

Business Challenge

The client needed a modern, scalable platform to process semi-structured operational data from multiple sources. Existing infrastructure was limited, slowing reporting and insights. They required: 

• Automated and flexible ETL pipelines for rapid onboarding 
• BI-ready datasets aligned to facts and dimensions 
• Simplified infrastructure management via cloud-native services 
• Strong data governance with secure and traceable access 

Solution

YASH designed and implemented a modular cloud data platform on Azure with:

• Data Engineering Layer: Automated ingestion via Azure Data Factory, complex transformations with Azure Databricks and PySpark, and data storage in Azure Data Lake Gen2 (bronze, silver, gold layers).
• Analytics & BI Layer: Structured datasets modeled into facts/dimensions and exposed through Synapse for Qlik Sense dashboards.
• Data Governance: Implemented Unity Catalog for centralized access control, role-based policies, metadata, and lineage tracking.
• Scalability & Resilience: Self-healing workflows and modular pipelines enabled robustness and rapid entity onboarding.

Business Impact

50% faster data preparation with automated pipelines

Resilient, self-healing workflows reducing downtime

Simplified consumption of semi-structured data with Spark-based processing

Scalable reporting across departments, enabling optimized service delivery

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Categories:

• Microsoft