Building a Modern Azure Data Platform for Enterprise Analytics with Databricks

Overview

Our client is a leading global transportation and logistics company relying on large-scale, real-time data to support performance, reporting, and long-term business growth across its operations.

Business Complexity

The client needed to replace its legacy data platform with a scalable cloud architecture. Large-scale data migration, ETL modernization, and unified reporting were essential to improve performance and support future growth.

Action

  • Built a cloud-native data platform using Azure Databricks, Azure Synapse, Azure Data Factory, and PySpark.
  • Modernized ETL pipelines and accelerated data migration across historical and real-time sources.
  • Enabled real-time analytics with Power BI dashboards for unified reporting.
  • Created a high-performance, unified analytics platform supporting both historical and real-time data processing. This improved reporting, reduced infrastructure costs, and delivering faster business insights

Tech Stack

  • Azure Databricks
  • Azure Synapse
  • Azure Data Factory
  • PySpark
  • Power BI

Impact

  • 7+ Years Historical Data Migrated to Azure in record time
  • 1K+ Business Objects Rationalized
  • 8 Reusable Migration Frameworks Developed to Support Business Agility