How We Achieved 45% Faster ETL Processing with a Centralized Data Warehouse for a Logistics Client

Legacy ETL systems with high maintenance overhead and poor data visibility

The client's data processes were heavily dependent on custom C# programs and long SQL procedures that had evolved over several years. Business logic was scattered across codebases; documentation was inconsistent, and updates often required reverse-engineering old implementations. These constraints made it difficult to trace how data was transformed, validate accuracy, introduce changes, or support new reporting needs. A more structured, maintainable Data Warehouse was essential to move beyond these limitations.

Structured redesign of ETL logic and data warehouse architecture

We worked closely with business SMEs and technical stakeholders to break down the existing system, capture business rules, and rebuild the data platform with clear logic, improved performance, and better governance.

Key implementation highlights

• Deep Analysis of Current C# ETL and SQL Logic: Assessed the legacy C# ETL framework, stored procedures, and source-system interactions to fully understand dependencies, transformation rules, and data movement.
• Requirements Capture and Data Mapping: Held detailed working sessions with SMEs to document business definitions, map source attributes, and translate operational rules into a clear data model.
• Technical Blueprint for the New Data Warehouse: Developed a comprehensive design document outlining transformation logic, source-to-target mapping, code behavior, and data flow diagrams to guide implementation.
• Optimization of Stored Procedures and ETL Workflows: Refactored and rebuilt SQL procedures to improve performance, simplify logic, and ensure data is processed efficiently and consistently.
• Rigorous Testing and Controlled Deployment: Validated each transformation through structured testing scripts, followed by UAT to confirm that outputs matched business expectations.
• Legacy BI to Optimized SQL Migration: Migrated all legacy BI calculations to highly optimized SQL queries, significantly improving reporting performance and dashboard responsiveness.
• Outdated BI Calculations Modernization: Re-engineered and migrated 100% of legacy BI calculations to clean, performance-optimized SQL, delivering substantially improved reporting speed and scalability.

Faster processing with 63% improved pipeline performance and a scalable foundation

• Stronger Data Management Framework: The client now operates on a centralized data warehouse designed around documented business rules and repeatable, understandable logic, improving overall data pipeline performance by 63%.
• Improved Processing Speed and Data Accuracy: Optimized ETL pipelines reduced load times and eliminated inconsistencies created by the previous setup, resulting in a 45% reduction in ETL processing time.
• Ready for Future Growth: The redesigned system enables new data sources, metrics, and reporting modules to be added without reworking existing pipelines.

zeb, a trusted Databricks partner, helps organizations modernize outdated C# and SQL-driven pipelines, build structured data warehouse environments, and deliver reliable, high-quality data for reporting and operational decision-making. By building scalable data warehouse environments, we ensure consistent, high-quality data that powers reliable reporting and informed decision-making.

Get in touch to see how we can help streamline your data operations and support your growing analytics needs.