Category: Case Study – Data Engineering

A fast-growing fintech company struggled to detect fraud in real-time due to limitations in their data infrastructure. They were processing vast amounts of transaction data but lacked the automated pipelines and real-time capabilities necessary to identify suspicious activity as it happened. The company needed a robust data engineering solution to build scalable pipelines, improve data…