QA Automation and Manual Engineer - KeelWorks
(2025-04)
Contributed to multiple web-based platforms, including a knowledge portal for students and a learning management platform for employees. These applications enable users to ask domain-specific questions, learn new technologies and languages, and receive personalized skill recommendations to improve employability.
- Designed, developed, and executed robust manual and automated test cases based on business and functional requirements using Java, Selenium WebDriver, TestNG, JavaScript, Playwright and GitHub Copilot.
- Collaborated with Business Analysts, Product Owners, Developers, and cross-functional teams to review requirements and develop comprehensive test strategies.
- Created, maintained, and executed detailed test scenarios, test cases, and test data using Qase, ensuring maximum test coverage and application quality.
- Built and enhanced Selenium automation frameworks and Playwright framework, improving regression test coverage and reducing manual testing effort.
- Performed Functional, Integration, System, Regression, End-to-End (E2E), API, Database across multiple applications.
- Executed API testing using Postman, validating request/response payloads, HTTP status codes, authentication, and backend database updates.
- Developed SQL queries and performed database validation using MySQL Workbench to ensure data accuracy, integrity, and consistency.
- Identified, documented, prioritized, tracked, and validated software defects through resolution, working closely with development teams to ensure timely fixes.
- Analyzed test results and prepared quality metrics and dashboards to provide actionable insights for stakeholders and improve product quality.
- Applied strong analytical and troubleshooting skills to identify root causes of software defects and recommend effective solutions.
- Mentored junior QA engineers by providing technical guidance, onboarding support, and best practices for manual and automation testing.
- Leveraged AI-powered development tools for Prompt Engineering including ChatGPT, Claude, and GitHub Copilot to accelerate test case creation, automation scripting, documentation, and root cause analysis.
QA Automation and Manual Engineer - Cognizant Technology Solutions
(2022-02 - 2025-03)
Worked on various domains like Caremark and Insurance. In Caremark have worked various projects like Formulary Management System, Benefit Builder, Clinical Design Manager, MyPBM, BMA and migration of Caremark claims to Express Scripts. In Insurance have worked on Data migration testing from different sources to Landing zone, from Landing zone to Raw zone, and from Raw zone to Conformed zone.
Worked on Eligibility, Coverage, Billing excel extract report, Production issues fixes, Release support and data validations.
- Involved in various meetings with Business analysts and developers.
- Analyzing the regression test cases identified for automation of all the interfaces.
- Prepare estimates for automating the manual test cases basing on the complexity, application type, number of test steps, amount of reusability, data creation, test case count etc.
- Logging a defect, creating a defect in Rally and Jira, and assign to respective developer.
- Retested the behavior of defect fix as per expected results.
- Performed Keyword-driven testing using Selenium Java and SQL, which reads data from MySQL WorkBench and excel spread sheet files.
- Developed Automation test scripts using Keyword-driven testing framework for Web Application.
- Automating and validating End to End Test cases using Java, Selenium, SQL Developer and AS400.
- Used SQL queries in the scripts to connect to DB and the required TABLEs, to automate the DB portions of the test cases.
- Hands on experience developing automation scripts for Web Application.
- Involved in Release Regression Execution, Functional testing, Performance testing, E2E Testing Phases and Shakeout testing.
- Performed API testing using Postman and JSon.
- Experience in working with file transfer tool like FileZilla and Putty.
- Initiating AAA(Artifact Approval Acceleration) and getting approvals from Business and QA Lead for QA Signoff.
- Analyzed the Business requirements, data mapping, data model and understand the data flow.
- Wrote and optimized Test Scenario to maximize success of manual software testing with consistent, thorough approaches.
- Creation of Test Scenario, Data mocking, handling defect management process and lifecycle using defect management tool like Jira, review with scrum team and PO.
- Involving in communication with source team POC to bring the full volume of data to test region to perform validations.
- Functional Testing for database using AWS Athena, AWS Glue job, AWS Lambda functions, S3 bucket and Cloud watch logs.
- Validating the behavior of data load in target tables as per data mapping using SQL queries.
- Wrote complex queries to compare the counts and data from source to target.
- Test Scenario execution and Adhoc testing.
- Validated the source table data is transformed as per mapping to target table.
- Involved in release support with CloudOps team.
- Perform validations on production issue fixes.
- Setting up the existing framework for automation validation in local for Eclipse using Java, Python3, AWS and used BDD framework as design pattern.
- Using python wrote a automation script to apply transformation as per data mapping and compared the actual data with transformed data to validate Non-functional scenario's.
- Validated the re-conciliation of data from source to target.
- Reviewed test results with Scrum Team and Product Owner.
- Involved in giving KT and handed over to System team.
- Reviewed on assigned user stories to stakeholders and other teams.
Fleet Operate
