Technology

Data Engineering

Optimizing Cloud Data Engineering for a Global Enterprise

A global enterprise faced increasing pressure to modernize its data infrastructure and reduce operational costs. The company needed to unify data from multiple ERPs and business systems, optimize transformation processes, and support real-time analytics. Their existing setup lacked scalability, resulting in high storage expenses and slow access to insights.

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Challenge

Solution

The Outcome

The Challenge

Legacy data pipelines and fragmented systems made it difficult for the client to make timely decisions and operate efficiently. They needed a scalable, pay-per-use cloud platform to streamline data workflows and boost performance.

Inefficient Data Workflows

High costs from inefficient data storage and transformation workflows, and long query times delaying business intelligence reporting

Integration and Real-Time Visibility Challenges

Difficulty integrating data from multiple ERP and PoS sources, and limited real-time insight into operations due to system latency

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The Solution

Entrans implemented a cloud-native, AWS-based data engineering platform designed for real-time performance and cost efficiency. The solution focused on automating data integration, transformation, and querying across multiple source systems.

Innovation Strategy‍

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Collaborative Approach

‍Our teams worked closely with the client’s IT and BI stakeholders across a three-phase execution roadmap—from architecture design to transformation workflows and full-scale deployment.

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Key Initiatives

Architected a curated data lake using Amazon S3
Used Amazon Redshift for fast analytics and query processing
Integrated Amazon EMR for semi-structured data transformations
Enabled Athena for efficient, serverless querying
Built automated pipelines using GitLab, Jenkins, Azure DevOps, and Octopus Deploy

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Business Transformation

‍The client now operates on a centralized, real-time data platform with reduced infrastructure overhead. With fast, reliable insights, business teams can respond quickly to trends and opportunities.

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Future-Ready

‍With scalable cloud infrastructure and real-time querying in place, the organization is now positioned to roll out predictive analytics, AI-driven dashboards, and enterprise-wide data products.

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The Outcome

With scalable cloud infrastructure and real-time querying in place, the organization is now positioned to roll out predictive analytics, AI-driven dashboards, and enterprise-wide data products.

50% reduction in query time — from minutes to milliseconds

Seamless data integration across PoS, ERP, and external sources, with enhanced data accessibility through indexed and curated datasets

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Cost savings achieved through pay-per-use compute and storage

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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