The existing SSIS-based ETL system struggled to scale as data volumes grew, leading to performance bottlenecks, delayed insights, and reduced operational agility.
A Global CX Leader Achieved 40% Lower Data Latency by Modernizing Legacy ETL into an Enterprise Data Lake
Accelerated onboarding and delivered faster reporting with a decoupled, cloud-native data architecture
Book a ConsultationSummary
A global leader in customer experience (CX) solutions has decided to modernize its rigid data infrastructure to support rapid business growth. Due to scalability constraints in a legacy SSIS-based ETL system, the client faced growing challenges in handling rising data volumes and onboarding new applications efficiently.
At TxMinds, we delivered legacy ETL modernization by engineering a parallel Enterprise Data Lake (EDL) using a decoupled, cloud-agnostic architecture. The result was a scalable Single Source of Truth that streamlined reporting, accelerated application integration, and unlocked advanced analytics and data science capabilities. It positions the client for sustained, data-driven growth.
Overview
Our client is a renowned CX and BPO leader, managing billions of customer interactions annually for the world’s most respected brands. With a vast operational footprint spanning multiple geographies, data is mission-critical for delivering consistent, high-quality customer experiences at scale.
Despite their market leadership, they were constrained by an aging SSIS-based ETL architecture.
The platform lacked the scalability to handle growing data volumes and posed significant challenges when integrating new business applications. Recognizing that its legacy setup could no longer support future growth, the client needed to implement a parallel Enterprise Data Lake to build a modern, future-ready data ecosystem and enable a scalable data platform for customer experience.
Challenge
The client's operations were obstructed by several challenges, requiring urgent solutions and opportunities for growth.
Scalability Issues due to Legacy System
Complex Integration Architecture
The rigid architecture lacked the flexibility to onboard new applications, resulting in slow, resource-intensive processing and hindering the client's ability to respond to evolving business and market demands.
Solution
At TxMinds, we leveraged a decoupled, cloud-native data lake architecture to accelerate application onboarding and enable faster and reliable Power BI reporting. We delivered cloud agnostic data engineering services to eliminate SSIS bottlenecks and support growing data volumes.
Enterprise Data Lake Architecture
TxMinds engineered a parallel Enterprise Data Lake leveraging Azure Data Factory for seamless data ingestion and Azure Synapse for efficient orchestration. We ensured high availability, resilience, and scalability across the data pipeline.
Decoupled, Modular Design
Our data experts introduced a decoupled architecture to separate data ingestion from transformation layers. This modular approach eliminated tight dependencies, improved maintainability, and ensured the platform could evolve alongside future business needs.
Cloud-Agnostic Codebase
As a leading cloud expert, we prevented vendor lock-in by developing a high-performance, portable codebase using Databricks and Apache Spark. This enabled cross-platform execution and ensured the data platform remained flexible and future-proof.
How TxMinds Strategy Helped the Client
Ensured data consistency and reliability across the enterprise.
Empowered high-performance data science and predictive analytics for smarter decision-making.
40%
Reduced data latency and accelerated application onboarding.
35%
Improved report delivery time by streamlining Power BI integration.
99.9%
Pipeline uptime, ensuring reliable enterprise reporting and data access.
From Legacy ETL Constraints to a Scalable Enterprise Data Foundation
As a go-to data engineering partner, TxMinds delivers more than just a solution. We helped our client transition from a legacy ETL infrastructure to a modern cloud-native Enterprise Data Lake, removing long-standing scalability and integration barriers. By addressing performance challenges, we helped the client future-proof its data landscape. This case study is a great example of how upgrading to new platforms can accelerate innovation and open new doors for growth and scalability.
Latest Case Studies
February 25, 2026
Accelerated Food Delivery Operations by 50-60% with AWS Automation for a Leading Platform
TxMinds rebuilt DevOps for a high-traffic food delivery platform. Modular CI/CD and AWS automation delivered 50% to 60%faster releases with…
Read More
February 13, 2026
Accelerated Resolution Time by 30-35% for a US CX Enterprise with Enterprise Data Lake Platforms
TxMinds partnered with a leading global CX to deliver SLA-driven managed services across data warehouse and enterprise data lake platforms.…
Read More
December 10, 2025
A Leading US Insurer Enabled 30-40% Boost in Feature Delivery by Transforming Legacy Systems
By modernizing the client's legacy system, TxMinds empowered the client to streamline operations, reduced time-to-market, and ensured future scalability. The…
Read More
See What Clients Are Saying About Us!
4.7/5.0
Overall Rating
"Tx supported us in delivering our release and new products on time with automation performance and integration testing. They contributed greatly to our test strategy."
See All Reviews(Test And DevOps Delivery Manager, Energy and Utilities)
Get a Consultation