Automating ETL for a Global Food Packaging Manufacturer
OnPoint Insights partnered with a leading food packaging manufacturer to modernize their data infrastructure and enhance operational visibility. By streamlining data pipelines and building user-friendly dashboards, we enabled more informed decision-making across supply chain and production functions.
The engagement focused on driving efficiency, improving reporting accuracy, and supporting the client’s growth through scalable analytics solutions.
View LiveFood Packaging & Manufacturing
13 Weeks
- ETL Architecture Design
- Data Pipeline Automation
- Oracle EBS Data Integration
- Data Model Design
- Audit Logging & Monitoring
- SQL Server Transformation Logic
- Automated Alerts & Notifications
- Metadata-Driven ETL Framework
The Challenge
A leading manufacturer of innovative food packaging solutions needed to centralize and streamline data flows from multiple systems to support advanced reporting and analytics needs. The project involved navigating complex Oracle EBS databases and required building a scalable, future-ready ETL framework.
Complex Multi-Source Data Flows
The client needed to understand and map data flow requirements across multiple systems to create a centralized and reliable data foundation.
Frequently Changing Database Schemas
The source and target database schemas were changing frequently, requiring a flexible ETL framework that could adapt without heavy manual intervention.
Reusable Transformation Logic
The solution needed maintainable transformation logic that could be reused across different workflows, reducing duplication and improving long-term scalability.
Monitoring and Auditability
The client required robust monitoring, logging, and audit mechanisms to track execution, identify failures, and improve transparency across ETL processes.
Our Solution
OnPoint Insights implemented a modern ETL architecture using Azure Data Factory, Azure Logic Apps, Oracle EBS, and SQL Server. The solution was designed to improve automation, increase reliability, and support the client’s ongoing data and analytics needs.
Collaborated with client teams to define the complete data flow and design a unified architecture aligned with business and reporting requirements.
Developed dimensional models using star and snowflake schemas to organize facts and dimensions, ensuring analytic scalability and structured reporting.
Mapped and extracted data from complex Oracle EBS schemas, creating efficient queries for staging and transformation.
Designed a metadata-driven control table to orchestrate task execution, define dependencies, and manage runtime configurations.
Developed modular stored procedures with built-in logging and error handling, enabling traceability of transformations at every step.
Created a dedicated pipeline to capture and store audit logs, enhancing transparency, compliance, and operational control.
Integrated Azure Logic Apps to trigger email alerts for job statuses, failures, and pipeline execution logs.
Built configurable pipelines using Azure Data Factory parameters to dynamically adapt to schema changes in source and target systems.
Results & Impact
The deployed solution helped the client improve ETL reliability, reduce manual oversight, and build a scalable foundation for future reporting and analytics.
Reduced Manual ETL Oversight
Achieved a 30% reduction in manual ETL oversight through automation and smart control logic.
Improved Data Integrity and Trust
Built-in validation, logging, and error handling improved data integrity and increased confidence in reporting outputs.
Future-Ready Architecture
The ETL framework was designed to adapt to ongoing business needs, changing schemas, and future data requirements.
Accelerated Reporting
Clean, structured, and reliable data delivery helped accelerate reporting and improve visibility across supply chain and production functions.
Explore Other Case Studies
Next Case StudyEnhancing Workplace Safety with IoT-Enabled Insights and Multilingual Dashboards
Enabling Enterprise Data Intelligence with Microsoft Fabric Lakehouse
Modernizing Financial Analytics with a Unified Microsoft Fabric Platform
Collaborate with us
We're here to answer your questions and help you find the right solution.
"*" indicates required fields