ETL & Data Validation Testing Professional

ANTHAPU JYOSHNA

Email: ***************@*****.***

Mobile: +91-630*******

Goal oriented self driven Etl & Manual testing professional with 3 years of experience in software testing Seeking a challenging opportunity to leverage my technical expertise and contribute to organizational success. Academic Qualification:

B. Tech graduation from Srinivasa Ramanujan Institute of Technology, Anantapur in 2022. Professional Summary:

● Data Validation and ETL Testing professional with 3+ years of experience in the Insurance domain.

● Hands-on experience in SQL-based data validation, data reconciliation, and database testing.

● Proficient in validating source-to-target data mappings and ensuring data accuracy across ETL workflows.

● Experienced in executing ETL Testing, including data extraction, transformation, and loading validation.

● Experienced in testing initial loads, Incremental/Delta Loads .

● Skilled in writing complex SQL queries for data analysis, validation, and defect investigation.

● Expertise in identifying, tracking, and reporting data defects while ensuring data quality and integrity.

● Experience in preparing test scenarios, test cases, and test execution reports based on business requirements.

● Adept at collaborating with business analysts and developers to resolve data-related issues.

● Experienced in different types of testing like Regression, performance and Sanity.

● Strong analytical, problem-solving, and communication skills with a focus on delivering high-quality solutions.

● Quick learner with the ability to adapt to new technologies, tools, and business processes. Technical Skills:

● Testing : ETL Testing, Data Validation Testing, Database Testing, Manual Testing, Knowledge on Automation Testing

● Database : AWS Redshift, Microsoft SQL Server, DBeaver.

● Programming : SQL, Core Java, Selenium Java, Basic Knowledge on Python with Pandas Library.

● Tools : Informatica, Jira, RMJ, Microsoft SQL Server Management Studio (SSMS),DBeaver, DRDO Framework .

● Domain : Insurance.

● Concepts : Data Validation, Data Reconciliation, Source-to-Target Validation, Data Warehousing Concepts, Defect Management, SDLC, STLC. Professional experience:

Cognizant Technology Solutions

Associate Jan 2026 – Present

Perform ETL testing and data validation to ensure data accuracy, completeness, and integrity across source and target systems.

Develop and execute SQL queries for backend testing, data reconciliation, and validation activities.

Validate source-to-target mappings and business transformation rules as per requirements.

Validated large volumes of data using AWS Redshift, Informatica, and SQL Server.

Analyse data discrepancies, log defects, and collaborate with development teams for issue resolution.

Participate in requirement analysis, test planning, test case preparation, and test execution.

Conduct regression and integration testing to ensure application stability and data consistency.

Support Agile project deliveries by working closely with stakeholders and cross-functional teams. Programmer Analyst Aug 2024 – Dec 2025

Executed ETL and database testing activities for insurance domain applications.

Performed data validation using SQL to verify data migration and transformation processes.

Created and executed test scenarios and test cases based on business requirements.

Validated large volumes of data using AWS Redshift, Informatica, and SQL Server.

Identified, tracked, and reported defects using Jira and coordinated with developers for resolution.

Conducted source-to-target data validation and ensured compliance with business rules.

Prepared test execution reports and provided regular status updates to project stakeholders.

Contributed to quality assurance activities, ensuring successful project delivery within timelines. Project 1: FDP Finance

Client: Direct Line Group (DLG)

Project: FDP Finance

Role: Programmer Analyst

Domain: Insurance

Responsibilities:

Performed ETL and Data Validation testing for finance-related data.

Executed SQL queries for source-to-target validation and data reconciliation.

Ensured accuracy and consistency of financial data across systems. Environment: SQL, AWS Redshift, Informatica, DBeaver, SSMS, Jira, ETL Testing, Data Validation Project 2: Commercial Platform Consolidation (Current Project) Client: Direct Line Group (DLG)

Project: Commercial Platform Consolidation

Role: Associate

Domain: Insurance

Responsibilities:

Involved in end-to-end ETL Testing and Data Validation activities.

Validating data migration, transformation rules, and business requirements using SQL.

Ensuring data quality, completeness, and integrity throughout the consolidation process.

Utilized DRDO Framework for source-to-target data comparison and validation. Environment: SQL, AWS Redshift, Informatica, DBeaver, SSMS, Jira, ETL Testing, Data Validation. Personal Details:

Nationality : Indian

Address : Anantapur, Andhra Pradesh

Declaration : I hereby declare that the above information is accurate and complete to the best of my knowledge.

Contact this candidate