
Rizqi Dewanto developed and delivered four core features for the safrizalrahman46/Data-Warehouse_Jobsheet_SIB_2G repository over two months, focusing on automated data processing and analytics workflows. He built ETL pipelines using Pentaho to transform and export car sales and population data from CSV sources, enabling analytics-ready outputs in both CSV and Excel formats. Leveraging SQL and database analysis, he implemented queries for sales KPIs, employee hierarchies, and branch dashboards, supporting business reporting needs. Rizqi also designed and documented an end-to-end data warehouse ETL pipeline, creating dimensional models to improve data availability, accuracy, and self-service reporting for stakeholders.
Month: 2025-04 — Delivered the foundational Data Warehouse ETL pipeline and supporting documentation, enabling analytics and reporting workflows for the Data-Warehouse_Jobsheet_SIB_2G project. Key outcomes include end-to-end ETL to populate the data warehouse with transformed data from OLTP sources, creation of dimensional tables (date, employee, courier, payment status, shipping status, region) and shipment facts to enable business reporting and insights, and documentation updates with two reference PDFs for reporting workflows and educational materials (LaporanJobshet3.pdf and LaporanKuis1.pdf). These efforts improve data availability, accuracy, and self-service reporting for business stakeholders.
Month: 2025-04 — Delivered the foundational Data Warehouse ETL pipeline and supporting documentation, enabling analytics and reporting workflows for the Data-Warehouse_Jobsheet_SIB_2G project. Key outcomes include end-to-end ETL to populate the data warehouse with transformed data from OLTP sources, creation of dimensional tables (date, employee, courier, payment status, shipping status, region) and shipment facts to enable business reporting and insights, and documentation updates with two reference PDFs for reporting workflows and educational materials (LaporanJobshet3.pdf and LaporanKuis1.pdf). These efforts improve data availability, accuracy, and self-service reporting for business stakeholders.
2025-03 Monthly Summary for safrizalrahman46/Data-Warehouse_Jobsheet_SIB_2G. Key feature deliveries include two ETL pipelines and SQL analytics queries that enhance data preparation, analytics, and reporting capabilities. No major bugs fixed in this period. Impact: automated data preparation and exports enable analytics-ready data, improved visibility into sales performance and organizational structure, and scalable analytics across branches. Technologies/skills demonstrated: ETL transformations (KTR), SQL analytics, data export automation to CSV/Excel, and version-controlled data pipelines.
2025-03 Monthly Summary for safrizalrahman46/Data-Warehouse_Jobsheet_SIB_2G. Key feature deliveries include two ETL pipelines and SQL analytics queries that enhance data preparation, analytics, and reporting capabilities. No major bugs fixed in this period. Impact: automated data preparation and exports enable analytics-ready data, improved visibility into sales performance and organizational structure, and scalable analytics across branches. Technologies/skills demonstrated: ETL transformations (KTR), SQL analytics, data export automation to CSV/Excel, and version-controlled data pipelines.

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