Restaurant

Data Engineering

Modernizing Data Engineering for a Leading Quick Service Restaurant Brand

A leading quick service restaurant (QSR) company operating across North America needed a scalable, cloud-native data engineering platform. The client aimed to consolidate data from multiple ERPs and PoS systems into a centralized architecture, while optimizing for cost, performance, and real-time analytics. Their legacy systems lacked the agility and efficiency needed to support growing business intelligence demands.

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Challenge

Solution

The Outcome

The Challenge

Fragmented systems and static infrastructure were driving up costs and reducing efficiency. The client needed a high-performance, cloud-optimized architecture with flexible scaling and automation.

Inefficient Data Integration and Processing

Slow data integration from disparate ERP and PoS sources, and delayed analytics and reporting due to long query execution times

Costly and Inflexible Infrastructure

Rising infrastructure costs due to static compute resources

The Solution

Entrans developed a modern data engineering platform using AWS services. We designed a curated data lake and integrated Amazon Redshift for analytics, with Amazon EMR and Athena handling semi-structured and batch processing workloads.

Collaborative Approach

‍Our AWS-certified engineers worked directly with the client’s IT and BI teams to build custom data marts, optimize performance, and automate deployment pipelines for seamless updates and monitoring.

Key Initiatives

Implemented AWS Redshift and Amazon S3 for scalable storage and warehousing
Used Amazon EMR and Athena for cost-efficient data transformation and querying
Automated CI/CD using GitLab, Jenkins, Octopus Deploy, and AWS native tools
Created region-specific data marts to improve reporting agility

Business Transformation

‍With optimized storage, compute, and analytics workflows, the client can now support real-time decision-making, reduce IT overhead, and scale to meet seasonal business demands.

Future-Ready

‍The AWS-based platform allows the client to expand across regions, integrate AI/ML use cases, and pursue predictive insights with minimal technical debt.

Client Quote

"Entrans’ AWS-based data engineering platform has transformed our data operations, ensuring scalability, cost-efficiency, and real-time analytics."
— Data Lead, Confidential Quick Service Restaurant

The Outcome

Delivered a cloud-native, pay-per-use data infrastructure on AWS that reduced query times by over 90% and cut operational costs.

Query execution time reduced from minutes to milliseconds

Integrated data across ERP and PoS systems for end-to-end visibility, enabling faster business insights through real-time reporting dashboards

Pay-per-use model significantly reduced infrastructure costs

We have been working with Entrans for the last two years and they have played a key role in building our solution. Their expertise and professionalism were evident throughout the development cycle, and we were very pleased with the final product. They have shown enormous skill and vast domain knowledge and their IT expertise is reliable and trustworthy. We would recommend Entrans for anyone looking for quality IT services, delivered in a professional manner

Nikolay Prokopiev

Chief Executive Officer

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