Enterprise M&A Data Consolidation into Snowflake with Azure Data Factory
Timely, Automated, Scalable Data Integration for Real-Time Business Insights
Mergers and acquisitions bring new opportunities—but also massive data challenges. When a leading enterprise acquired a new organization, they needed to integrate vast amounts of data from multiple sources into their Snowflake data warehouse. With tight contractual deadlines and a complex data landscape, the stakes were high.
Challenges
A Race Against Time to Integrate Disparate Data Sources
- Unifying Data Across Systems – Information was spread across SAP applications, SQL servers, SharePoint lists, and REST APIs, making integration complex.
- Strict Deadlines – Contractual obligations required complete data consolidation within a fixed timeline.
- Data Transformation Needs – Multiple formats had to be standardized and structured for seamless accessibility in Snowflake.
The Solution
Scalable, Automated Data Pipelines for Seamless Integration We engineered an end-to-end data integration solution, ensuring timely, secure, and automated consolidation:
- Azure Data Factory Pipelines – Designed to ingest, transform, and load data from diverse sources into Snowflake.
- Automated Deployment with DevOps CI/CD – Ensured seamless rollout across different environments, eliminating manual errors.
- Real-Time Monitoring & Alerts – Integrated pipeline status notifications into Microsoft Teams for instant visibility and issue resolution.
The Impact
Faster Integration, Zero Data Loss, Scalable Analytics
- 100% On-Time M&A Integration – Delivered a seamless transition with zero operational disruptions.
- 99.9% Pipeline Uptime – Ensured continuous data flow with real-time monitoring.
- 100% Data Consistency – Unified data structure enabled real-time business intelligence and analytics.
- Automated Deployment – Reduced manual effort, ensuring efficiency and accuracy across environments.
Technologies Used:
- Azure Data Factory
- Snowflake
- Azure DevOps Pipelines