Victor’s Data Cleansing expertise reflects sustained work across match rules, survivorship logic, quality thresholds; Data Cleansing analysis covering anomaly review and profiling. Platform and discipline knowledge also includes validation, ETL pipelines, access controls, reporting architecture, and data modeling.
Data Cleansing technical knowledge — quality thresholds; data modeling; ETL pipelines; reporting architecture; validation rules; reconciliation; lineage; backup.
Cleansing data operations stack: OpenRefine, Microsoft Excel, SQL, Python, Great Expectations, PostgreSQL, MySQL, Microsoft SQL Server, BigQuery, Google Sheets, Power BI, Tableau