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Building data pipelines 4× faster with AI-powered engineering platform 

Building data pipelines 4× faster with AI-powered engineering platform 

Core challenge

Data engineers at a global CPG major were spending a day to build each data pipeline

Industry

CPG 

Solution

AI-powered data engineering platform 

Use case

Data engineering 

Impact 

~4x faster pipeline build 

Client overview

The client is a global consumer goods company operating at scale across markets, with extensive data engineering requirements to support analytics, reporting, and data science initiatives.  

Challenge

Context 

The client faced high costs and long cycle times in data engineering, particularly in translating business requirements into production-ready data pipelines.  

Engineering spends 

A disproportionate share of engineering spends, including work delivered through major vendor partners was concentrated in repetitive, low-value tasks such as ingestion, testing, and deployment.  

This left limited capacity for critical data science work.   

Solution

An AI-powered data engineering platform 

We designed and deployed an AI-powered data engineering platform that accelerates the full data pipeline lifecycle across design, development, deployment, and documentation.  

Single standard for data pipelines 

The platform was tailored to the client’s environment and mandated for use across internal teams and all major vendor partners, establishing a single standard for how data pipelines are built and maintained across the enterprise.  

By shifting data engineering surplus bandwidth from data pipeline work toward more outcome-oriented data science activities, the platform enables teams to deliver faster while maintaining consistent quality and governance at scale.  

Impact

4x

faster pipeline development

Hundreds

of active users

The platform has enabled 4x faster pipeline development, significantly accelerating data and AI delivery. Adopted by hundreds of active users, it is helping shift engineering capacity toward higher-value data science and advanced analytics initiatives.  

By streamlining data operations and improving productivity, the solution provides a scalable, high-throughput foundation for delivering AI-driven business outcomes at scale.