
Safrizal Rahman developed end-to-end data engineering solutions for the Data-Warehouse_Jobsheet_SIB_2G repository over a two-month period, focusing on data transformation pipelines and demo warehousing schemas. He designed ETL processes in SQL that filtered and validated car sales and population data, outputting clean records to CSV and categorizing individuals by occupation. Safrizal also created MySQL-based warehouse schemas for car sales and expedition data, supporting analytics readiness and onboarding. In addition, he delivered documentation and sample data in DOCX, PDF, and XLSX formats to facilitate Google Data Studio visualization workflows, enabling rapid validation and demonstration of warehousing and BI processes.
May 2025 Monthly Summary: Delivered Data Warehousing and Visualization Documentation and Sample Data for Google Data Studio (Jobsheet 5) to safrizalrahman46/Data-Warehouse_Jobsheet_SIB_2G. The delivery included multi-format artifacts (DOCX, PDF, XLSX) and a temporary file to support immediate testing and BI demos, enabling faster validation of warehousing and visualization workflows.
May 2025 Monthly Summary: Delivered Data Warehousing and Visualization Documentation and Sample Data for Google Data Studio (Jobsheet 5) to safrizalrahman46/Data-Warehouse_Jobsheet_SIB_2G. The delivery included multi-format artifacts (DOCX, PDF, XLSX) and a temporary file to support immediate testing and BI demos, enabling faster validation of warehousing and visualization workflows.
March 2025 focused on delivering end-to-end data engineering artifacts for the Data-Warehouse_Jobsheet_SIB_2G project, including two data transformation pipelines and demo warehousing schemas with sample data. The work enhances analytics readiness, improves data quality through validation and categorization, and provides ready-to-use templates for onboarding, workshops, and future BI initiatives.
March 2025 focused on delivering end-to-end data engineering artifacts for the Data-Warehouse_Jobsheet_SIB_2G project, including two data transformation pipelines and demo warehousing schemas with sample data. The work enhances analytics readiness, improves data quality through validation and categorization, and provides ready-to-use templates for onboarding, workshops, and future BI initiatives.

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