Most enterprise analytics environments do not become inefficient overnight.
The challenges accumulate gradually: manual workarounds creep in, data volumes explode, and legacy platforms age while pressure mounts to deliver data faster. Over time, these bottlenecks limit scalability, drain engineering hours, and stall growth.
This was the exact challenge facing a leading AI-powered marketing cloud that enables global enterprise brands to unify customer identity, intelligence, and activation.
Operating a high-volume, data-intensive marketing environment means handling millions of transactions every month. As the company scaled rapidly across multiple regions, their data infrastructure hit a ceiling. They needed a team that could modernize their core analytics infrastructure, automate complex workflows, and deliver data clarity at scale.
For the past years, Excel Nearshore has worked directly with the client’s Global Data Science & Analytics team to solve these exact scaling pains. Embedded as senior technical talent within their team, our Data Engineers and Data Analysts have supported both day-to-day operations and long-term modernization initiatives designed to improve reliability and scalability.
The Pressure Points
As the organization’s global operations expanded—particularly in high-growth regions like APAC—several engineering bottlenecks emerged:
- The SAS Bottleneck: Legacy analytics pipelines built in SAS restricted speed, flexibility, and cloud readiness.
- Operational Strain: Semi-manual data workflows increased operational overhead and the risk of processing errors.
- Exploding Volumes: Massive transactional data required modern, cloud-native engineering practices.
- Zero Downtime Requirements: The existing platforms had to be overhauled without disrupting ongoing client delivery or daily operations.
The Strategy: How We Delivered
Excel Nearshore embedded senior Data Engineering and Data Analysis talent directly into the client’s internal organization, tackling the modernization across four key pillars.
- Migrating from SAS to Python (Accelerated by AI)
Our engineers led the migration of critical analytics processes out of legacy SAS into a flexible, modern Python ecosystem. To accelerate this transition without sacrificing code quality, the team leveraged AI-assisted development tools, integrating GitHub Copilot with VS Code and multiple Large Language Models (LLMs).
The result was faster development cycles, significantly reduced technical debt, and an architecture aligned with modern cloud best practices. - Engineering Scalable ETL Workflows
Handling millions of transactions requires bulletproof automation. Our team designed and optimized robust ETL (Extract, Transform, Load) pipelines across Oracle and cloud environments using a modern stack: Python, Pandas, SQLAlchemy, dbt, Snowflake, and n8n.
By optimizing complex SQL queries and implementing parallel processing, we minimized manual intervention and secured the reliable orchestration of weekly and monthly workflows. - Predictive Modeling for Global Markets
Beyond basic engineering, Excel Nearshore developed and maintained production-ready predictive data models. These models directly support the client’s strategic planning through:
– Multi-dimensional customer segmentation (tracking retention, demographics, and cross-channel behavior).
– Retail and e-commerce analytics for regional markets, including APAC pipelines processing over 1 million transactions every month. - Turning Raw Data into Clear Business Directions
Our Senior Data Analysts partnered with the client’s internal stakeholders to clean up how information reached business leaders. We automated KPI dashboards, standardized reporting frameworks, and replaced slow, manual tracking with reusable, scalable code. This slashed turnaround times for ad-hoc data requests, allowing leadership to make regional decisions with total confidence.
Real-World Impact
Performance Snapshot
- 40% Drop in Processing Times: Achieved through aggressive query optimization and parallel processing.
- 1M+ Monthly Transactions: Stable, automated pipeline performance across regional APAC markets.
- Zero Disruption: Complete modernization of core infrastructure achieved alongside uninterrupted daily client delivery.
Ultimately, successful modernization projects aren’t defined by the tools you buy, but by the business outcomes you unlock. Over the course of this collaboration, pairing Excel Nearshore’s technical execution with the client’s internal data vision allowed the organization to reclaim critical engineering hours, remove manual operational risks, and build an infrastructure ready for future growth.
Need to Scale Your Technical Capacity?
At Excel Nearshore, we build and scale high-performing technical teams that help companies clear data bottlenecks, automate workflows, and modernize legacy tech.
Contact Excel Nearshore today to discuss your data engineering or analytics goals.