safrizalrahman46/Data-Warehouse_Jobsheet_SIB_2G
Mar 2025 – Mar 2025
1 Month active
Languages Used
PDFSQLXML
Technical Skills
Data TransformationData WarehousingDatabase DesignETLKettle/PentahoSQL Database Management
NaufalArdian12
PROFILE
Naufalardian12
Safrizal Rahman developed data processing and warehousing solutions for the safrizalrahman46/Data-Warehouse_Jobsheet_SIB_2G repository, focusing on analytics readiness and streamlined onboarding. He engineered an ETL pipeline using Kettle/Pentaho and SQL, enabling occupation-based segmentation and cleaning of CSV data, with outputs organized into Excel files for targeted user groups. Additionally, he created reproducible coursework materials, including a PDF assignment and SQL scripts for database setup, covering schema design and data constraints. His work emphasized data quality and reliability, reducing manual setup for learners and ensuring consistent, analytics-ready datasets. No major bugs were reported, reflecting careful implementation and robust design.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
2,652
Activity Months1
Your Network
10 peopleWork History
March 2025
2 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for safrizalrahman46/Data-Warehouse_Jobsheet_SIB_2G. Focused on delivering data pipeline capabilities and ready-to-use coursework materials that drive analytics readiness and reduce onboarding time. Key features delivered: - Data Processing Pipeline for Occupation-based Data Segmentation and Cleaning: CSV extraction, occupation-based filtering, and output of separate Excel files for Mahasiswa, Dokter, and PNS; non-matching records directed to a Lainnya Excel; added a data-cleaning transformation for car distribution sales data to filter invalid entries into a dedicated Excel file. - Data Warehouse Assignment Materials and Sample Database Setup: Provided assignment materials (PDF) and two SQL files for legendvehicle and classicmodels, covering table creation, data insertion, and constraints. Major bugs fixed: - No major bugs reported this month; efforts focused on feature delivery and data quality enhancements. Overall impact and accomplishments: - Enabled analytics-ready data slices and reproducible coursework materials, accelerating analytics workflows and training onboarding for learners. - Improved data quality and consistency across pipelines and samples, reducing manual setup effort. Technologies/skills demonstrated: - ETL/data processing, CSV/Excel I/O, data filtering and transformation - SQL database setup, schema design, and constraints - Documentation and reproducible material creation
2 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for safrizalrahman46/Data-Warehouse_Jobsheet_SIB_2G. Focused on delivering data pipeline capabilities and ready-to-use coursework materials that drive analytics readiness and reduce onboarding time. Key features delivered: - Data Processing Pipeline for Occupation-based Data Segmentation and Cleaning: CSV extraction, occupation-based filtering, and output of separate Excel files for Mahasiswa, Dokter, and PNS; non-matching records directed to a Lainnya Excel; added a data-cleaning transformation for car distribution sales data to filter invalid entries into a dedicated Excel file. - Data Warehouse Assignment Materials and Sample Database Setup: Provided assignment materials (PDF) and two SQL files for legendvehicle and classicmodels, covering table creation, data insertion, and constraints. Major bugs fixed: - No major bugs reported this month; efforts focused on feature delivery and data quality enhancements. Overall impact and accomplishments: - Enabled analytics-ready data slices and reproducible coursework materials, accelerating analytics workflows and training onboarding for learners. - Improved data quality and consistency across pipelines and samples, reducing manual setup effort. Technologies/skills demonstrated: - ETL/data processing, CSV/Excel I/O, data filtering and transformation - SQL database setup, schema design, and constraints - Documentation and reproducible material creation
March 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PDFSQLXML
Technical Skills
Data TransformationData WarehousingDatabase DesignETLKettle/PentahoSQL Database Management
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