Sravani Varadareddy

• Executed comprehensive end-to-end ETL testing for major enterprise clients, including TransAmerica, Northwestern Mutual, and Everest Re-Insurance, within the insurance and re-insurance sectors.
• Designed and implemented over 500 detailed test cases, focusing on critical areas such as source-to-target validation, transformation logic, and data integrity checks.
• Conducted thorough data reconciliation and count validation across multiple platforms, including SQL Server, IBM DB2, AWS Athena, and Amazon Redshift, achieving a flawless data accuracy record.
• Collaborated with cross-functional teams to enhance data quality processes and improve overall ETL testing efficiency.
• Leveraged strong analytical skills to identify and resolve data discrepancies, contributing to high-quality deliverables in fast-paced environments.

Validated mortgage and title insurance documents for completeness, accuracy, and compliance with process guidelines.
Performed financial data reconciliation — cross-checking property records, loan details, and transaction data to identify discrepancies.
Coordinated with US-based client teams and internal processing teams to resolve document exceptions and meet turnaround SLAs.

• Processed and validated title insurance documentation, enhancing data integrity for US mortgage clients by ensuring accuracy in property records and ownership history.
• Executed comprehensive data quality checks and reconciliation tasks, effectively identifying discrepancies between submitted records and reference data, contributing to improved data reliability.
• Collaborated with cross-functional teams for order tracking and exception handling, fostering effective communication and coordination to uphold quality standards.
• Developed a strong foundation in data accuracy and financial operations, preparing for a transition into ETL testing and data quality engineering roles.
• Leveraged analytical skills to support quality verification processes, driving enhancements in data management and operational efficiency.