
Safrizal Rahman developed end-to-end data processing and warehousing solutions in the safrizalrahman46/Data-Warehouse_Jobsheet_SIB_2G repository over two months, focusing on analytics-ready datasets for sales and logistics. He designed and implemented ETL pipelines using Kettle (Pentaho Data Integration) and SQL, transforming raw CSV data, filtering incomplete records, and exporting cleaned outputs for analysis. Safrizal also built a comprehensive MySQL relational schema and dimensional models to support business intelligence on deliveries, payments, and employee hierarchies. His work enabled scalable, reliable data pipelines and improved reporting, demonstrating depth in data transformation, database design, and the integration of hierarchical and time-based analytics.
Implemented data warehouse ETL enhancements to introduce Date and Employee dimensions, enabling richer time-series and HR analytics for the Data-Warehouse_Jobsheet_SIB_2G project. Focused on scalable dimension population and ancestry-aware employee relationships to support hierarchical reporting.
Implemented data warehouse ETL enhancements to introduce Date and Employee dimensions, enabling richer time-series and HR analytics for the Data-Warehouse_Jobsheet_SIB_2G project. Focused on scalable dimension population and ancestry-aware employee relationships to support hierarchical reporting.
March 2025 monthly performance summary for safrizalrahman46/Data-Warehouse_Jobsheet_SIB_2G. Delivered end-to-end data processing and data-warehouse components, enabling analytics-ready datasets for sales and logistics, with a focus on data quality, scalability, and business value.
March 2025 monthly performance summary for safrizalrahman46/Data-Warehouse_Jobsheet_SIB_2G. Delivered end-to-end data processing and data-warehouse components, enabling analytics-ready datasets for sales and logistics, with a focus on data quality, scalability, and business value.

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