Case Study: Retail
Data Pipeline & ETL Optimization
Client: Fortune 500 Retail Corporation
Duration: 7 months
Team: 9 engineers
Budget: Enterprise
Industry: Retail
The Challenge
Process 2 billion+ daily transactions with sub-hour latency, consolidate data from 50+ sources, enable real-time BI dashboards, maintain 99.99% data accuracy and reliability
Our Strategy & Solution
Built scalable ETL pipelines processing billions of transactions for real-time business intelligence
Key Technologies
Data EngineeringApache SparkAWSETLData WarehouseBI
The Measurable Result
40% reduction in ETL runtime, unified data accessible in <30 minutes, 500+ automated daily reports
Key Performance Indicators
2B+
Transactions/Day
40%
Runtime Reduction
<30min
Data Latency
99.99%
Data Accuracy
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