Enterprise Data Lake

Fortune 500 Retailer

Data EngineeringCloudBig Data

A major retailer needed to unify data from thousands of stores, online platforms, and supply chain systems into a single analytics platform. We built a petabyte-scale data lake that enables real-time business intelligence.

10 months

Duration

15 engineers

Team Size

Retail

Industry

Completed

Status

The Challenge

Data was siloed across hundreds of systems, making real-time analytics impossible. Query performance was slow, and data quality issues plagued decision-making processes.

Our Solution

Architected a modern data lake using Delta Lake for ACID transactions, with Kafka for real-time streaming and Presto for sub-second query performance.

Key Results

50TB+

Daily Data Ingested

<1s

Average Query Response Time

85%

Data Quality Improvement

$5M

Annual Cost Savings

Technologies Used

Apache SparkKafkaDelta LakePrestoAWS S3Airflow

"Our data lake has become the central nervous system of our business. Real-time insights have transformed how we operate."

Jennifer Park

VP of Data Engineering

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