During August 2025, Maciej Purtak developed end-to-end Matomo data ingestion for the dyvenia/viadot repository, enabling automated extraction from the Matomo API and seamless loading into AWS Redshift Spectrum. He standardized the ingestion interface by replacing dynamic date handling with static parameters, which improved maintainability and predictability. Using Python, Pandas, and Prefect, Maciej implemented robust DataFrame validation to ensure data quality throughout the ETL process. He also addressed import issues, refined parameter handling, and introduced test data to enhance reliability. This work deepened the pipeline’s data engineering capabilities and reduced operational risk by strengthening data availability for analytics.