
Safrizal Rahman developed foundational data warehouse capabilities for the Data-Warehouse_Jobsheet_SIB_2G repository, focusing on enabling analytics and reporting through robust ETL pipelines. Over the course of a month, Safrizal designed and implemented data transformations to process CSV demographics and car sales data, populating dimension tables such as dimDate and dimEmployees using Pentaho Data Integration and SQL scripting. The project included bootstrapping the Classic Models database with sample data to support reporting needs. Safrizal also reorganized project documentation and structure, improving onboarding and reproducibility. The work demonstrated depth in data modeling, ETL design, and practical application of data warehousing principles.
March 2025 performance summary for safrizalrahman46/Data-Warehouse_Jobsheet_SIB_2G. Delivered end-to-end data warehouse capabilities and foundational data model support, enabling analytics and reporting. Key focus areas included ETL pipelines for demographics, car sales, and population/dimension tables; bootstrap of Classic Models database with sample data for reporting; and documentation/project organization updates improving onboarding and collaboration. All work is reflected in the commit history across a7a6ce35c3d0c771098b5deb84e277c57eb77b8b, 73b661ea63506c26be7cbd2bf3cdba6a9ff72b8d, 4525fdc9d196ee724cd4fedcc83cdbd33aae28cf, 41ab164e2539e508b850de35a4d508ca1fa14f24, and db181768153ed7865afaad6b93d1811e2b89c460.
March 2025 performance summary for safrizalrahman46/Data-Warehouse_Jobsheet_SIB_2G. Delivered end-to-end data warehouse capabilities and foundational data model support, enabling analytics and reporting. Key focus areas included ETL pipelines for demographics, car sales, and population/dimension tables; bootstrap of Classic Models database with sample data for reporting; and documentation/project organization updates improving onboarding and collaboration. All work is reflected in the commit history across a7a6ce35c3d0c771098b5deb84e277c57eb77b8b, 73b661ea63506c26be7cbd2bf3cdba6a9ff72b8d, 4525fdc9d196ee724cd4fedcc83cdbd33aae28cf, 41ab164e2539e508b850de35a4d508ca1fa14f24, and db181768153ed7865afaad6b93d1811e2b89c460.

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