March 2025 performance summary for Canvas-Painter/Group17-Project. Focused on data reliability, freshness, and pipeline efficiency. Delivered bulk data handling updates across ingestion modules, introduced robust data cleaning and validation routines, and implemented a comprehensive data update/refresh pipeline to reflect the latest data across components. These changes improve data integrity, reduce stale data risk, and enable faster, more reliable analytics for product and business teams. The work spans multiple commits across data handling, cleaning, and preparation workflows and positions the project for greater automation and governance in future sprints.

February 2025 (2025-02) monthly summary for Canvas-Painter/Group17-Project. Focused on delivering scalable data pipelines, improving data quality, and driving business value through reliable batch processing and cross-source consistency. Key outcomes include consolidated data update operations across multiple batches with schema alignment, a Global Data Refresh for Batch 8, and ongoing data cleaning and integrity improvements. These efforts reduced data latency, improved data cleanliness, and increased analytics readiness. Demonstrated technologies include ETL orchestration, data normalization, cleaning scripts, indexing improvements, and caching optimizations.