Twenty years of Data Validation experience — validation rules; reporting architecture; ETL pipelines; data modeling; quality thresholds; match rules; profiling; reporting.
Victor’s knowledge of Data Validation reflects two decades across Data Validation technologies. Core Data Validation areas are data modeling, validation, ETL pipelines, access controls, and reporting architecture, reinforced by standardization, match rules, survivorship logic; Data Validation analysis covering quality thresholds and anomaly review.
Validation data operations stack: OpenRefine, Microsoft Excel, SQL, Python, Great Expectations, PostgreSQL, MySQL, Microsoft SQL Server, BigQuery, Google Sheets, Power BI, Tableau
