## CIFOR-ICRAF

Project Overview: As the Lead Data Engineer and Data Architect, I was responsible for designing and implementing an ETL solution that extracted data from the ERP system (Unit4) and loaded it into a centralized data warehouse. This architecture enabled the seamless integration of organizational data, which was later utilized to generate comprehensive reports. These reports provided valuable insights that were accessible to the entire staff, empowering decision-making across all levels. By optimizing data flow and ensuring data accuracy, the solution improved operational efficiency and enhanced data-driven strategies throughout the organization.

### Project Goals

- Design and implement an ETL pipeline to extract and load data from Unit4 ERP into a centralized data warehouse.
- Ensure seamless integration of organizational data across multiple departments.
- Optimize data flow to enhance the accuracy and timeliness of reporting systems.
- Provide accessible and actionable insights to decision-makers at all organizational levels.
- Ensure the solution is scalable to accommodate future data requirements and reporting needs.

### Technologies Used

- Unit4 ERP: For extracting data from the organization's ERP system.
- SQL Server: Used for storing and managing the centralized data warehouse.
- Azure Data Factory: Orchestrated and automated the ETL processes between Unit4 ERP and the data warehouse.
- Power BI: Utilized to generate comprehensive, real-time reports and dashboards for business stakeholders.

### Achievements & Impact

Through the successful implementation of this solution, we achieved several key milestones:

- Streamlined data processing and integration, leading to faster and more accurate reporting.
- Empowered staff across departments with easy access to key insights, driving data-driven decision-making.
- Improved operational efficiency by optimizing data flow and ensuring data integrity.

### Challenges & Solutions

During this project, we encountered several challenges related to data consistency and system integration:

- Ensured data consistency by implementing robust data validation checks during extraction and transformation.
- Addressed system integration issues by leveraging Azure Data Factory for seamless ETL orchestration.
- Developed customized error-handling mechanisms to ensure smooth operation of the reporting pipeline.

### Project Results

The ETL solution delivered a centralized, reliable data warehouse that improved data accessibility across the organization. It provided valuable insights to management and staff, fostering more informed decision-making and enhancing the organization's overall performance.