Consultant

 Lead and manage end-to-end data testing activities across multiple projects and initiatives.  Define, design, and implement comprehensive test strategies and test plans based on business and technical requirements.  Design, develop, and execute test cases and functional testing scenarios in UAT and Production environments.  Perform ETL and data validation testing to ensure data accuracy, completeness, consistency, and integrity.  Develop and execute complex SQL queries for data validation, reconciliation, and quality assurance based on Source-to-Target Mapping (STTM) documents.  Validate data loads, transformations, and data integrity across source and target systems.  Collaborate closely with business stakeholders, developers, and project teams to understand requirements and clarify testing expectations.  Identify, analyze, and document defects, discrepancies, and data quality issues.  Raise and track defects in JIRA and coordinate with cross-functional teams for timely resolution.  Prepare and maintain test documentation, test execution reports, and quality metrics.  Ensure testing deliverables are completed on schedule and meet defined quality standards.  Strong SQL development and data validation expertise  ETL Testing and Data Warehouse Testing  Data Quality and Data Integrity Validation  Cloud Data Platform Testing  Test Strategy, Test Planning, and Test Execution  Defect Management using JIRA  Functional, Integration, and UAT Testing  Proven experience in data testing, ETL validation, and data quality assurance.  Experience handling multiple projects and coordinating with cross-functional stakeholders in Agile environments.  PySpark (Nice to Have)  Experience with modern cloud data platforms (Azure/AWS/GCP)  Knowledge of data warehousing concepts and source-to-target data mapping (STTM)