During May 2025, Amila contributed to the microsoft/fabric-toolbox repository by building a data pipeline enhancement focused on capacity ID deduplication for improved analytics accuracy. Leveraging PySpark, Delta Lake, and SQL, Amila extracted active capacity IDs from FUAM_Lakehouse.capacities, excluded those with SKU 'PP3', and ensured uniqueness to prevent duplicate records. The pipeline was updated to clean the silver table and aggregate timepoints, supporting a new calendar-based reporting model. These changes improved data quality and reliability for downstream BI dashboards. Amila’s work demonstrated a solid grasp of data engineering principles and delivered maintainable, incremental improvements to the project’s codebase.