Snehal Sakhare

* Lead end-to-end ETL testing and data validation for large-scale, complex data warehouse projects across modern data platforms including Databricks, Apache Hive, and Netezza * Design and implement scalable data quality frameworks to ensure accuracy, consistency, and reliability of high-volume data transformations * Collaborate closely with data engineering, business analysts, and stakeholders to define validation strategies and ensure trusted data delivery for critical business decisions * Perform in-depth

Performed comprehensive ETL and data warehouse testing across multiple projects involving large and complex datasets * Validated data transformations, mappings, and business rules using advanced SQL-based data analysis * Worked extensively with Netezza and relational databases to ensure data integrity and consistency * Developed and executed test strategies, test plans, and test cases for data-centric applications * Identified, tracked, and resolved data defects through effective defect management and r

* Executed functional and ETL testing for data integration and data warehouse systems * Validated source-to-target data mappings and ensured correctness of data transformations * Wrote complex SQL queries for data validation and reconciliation * Supported test execution, defect tracking, and reporting processes * Gained strong foundation in data validation, QA methodologies, and ETL workflows

* Executed functional and ETL testing for data integration and data warehouse systems * Validated source-to-target data mappings and ensured correctness of data transformations * Wrote complex SQL queries for data validation and reconciliation * Supported test execution, defect tracking, and reporting processes * Gained strong foundation in data validation, QA methodologies, and ETL workflows