Global Footwear Giant Builds a Scalable, Cloud-First Data Foundation to Fuel Global eCommerce Growth

Today’s retail leaders are racing to deliver seamless, data-driven customer experiences across channels and geographies. For one global athletic footwear and apparel brand, scaling its eCommerce capabilities was a non-negotiable requirement to stay competitive. To meet this demand, our client needed a high-performing, cloud-native data infrastructure-one that could handle real-time analytics, multilingual data processing, and support future growth.

Geography

North America

Service Line

Data and AI Services

Ecommerce B2B

Client Snapshot

A century-old global footwear and apparel leader, headquartered in North America, known for its commitment to quality, innovation, and customer-first experiences. The retail brand continues to evolve by embedding technology across its supply chain, manufacturing, and digital commerce platforms.

Footwear

Challenge

As the brand expanded across multiple eCommerce platforms worldwide, its legacy order management system couldn’t keep pace. The business faced latency issues, data inconsistencies, multilingual encoding challenges, and limited scalability. Processing global order data and generating actionable insights became increasingly difficult, leading to inefficiencies and slower decision-making.

Solution

Mastek modernized the organization’s data warehouse by migrating to a cloud-native environment using Snowflake on Azure. The project followed a phased “lift-and-shift” strategy, integrating 15+ global data sources and enabling real-time data ingestion through Azure Data Factory.

Key components included:

  • Dynamic conversion of 150+ SQL Server tables to Snowflake format using custom scripts.
  • Real-time data loading via Azure Blob Storage and ADF pipelines.
  • Automated transformation and ELT processes using 45+ optimized Snowflake procedures.
  • External tables for historical raw data access.
  • Intelligent monitoring and alerting to handle encoding issues, missing files, and schema changes.

This resulted in a scalable, efficient, and future-ready data framework that powered real-time operations across markets.

Impact

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