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QA Automation Engineer with 4+ years in ETL, API, and UI testing.
Quality Engineering Analyst with over 4+ years of experience at Accenture, specializing in the energy, email and travel domains. Experience in manual testing, UAT support, and validating business workflows across multiple domains. Performed web application testing including UI validation and end-user workflows. Experience in ETL/ELT data pipeline testing, data validation, and data warehouse quality assurance. Skilled in System testing, Integration testing, Regression testing, and end-to-end (E2E) testing with strong experience in test planning, Defect lifecycle management. Skilled in database management and validation using Microsoft SQL Server Management Studio, Power BI and Tableau to drive data-driven quality improvements. Experience in basic automation testing using Selenium WebDriver with Java and TestNG framework, API Testing using Postman, supported by a strong foundation in Cucumber and Agile methodologies.
Aditya Degree College
Bachelor of Computer Applications (BCA) · Computer Applications
N/A – June 30, 2021
Accenture
Quality Engineering Analyst
January 1, 2022 – Present
Hyderābād, Telangana, India
Metrolinx (Travel Domain)
January 1, 2022 – June 1, 2026
Designed and executed functional, integration, and end-to-end test cases for travel domain applications. Performed ETL testing including Source-to-Target validation, CDC validation, and incremental data load testing. Developed complex SQL queries for validating large datasets within the Enterprise Data Warehouse. Conducted regression testing cycles and test case optimization, improving regression efficiency. Validated Power BI dashboards and reporting data for accuracy and performance. Executed API testing using Postman to validate backend services. Managed defects using Azure DevOps and JIRA, ensuring timely resolution.
Email Validation Tool (Email Management)
January 1, 2022 – June 1, 2026
Developed and executed automation test scripts using Selenium WebDriver with Java for email validation workflows. Designed and implemented Page Object Model (POM)-based automation framework for maintainable and reusable test scripts. Automated functional and regression test cases, reducing manual testing effort and improving execution efficiency. Integrated automation test execution with TestNG framework and generated test reports. Performed API testing using Postman to validate backend email services. Identified, logged, and tracked defects using Azure DevOps/JIRA, ensuring timely resolution. Collaborated with developers and business teams for defect analysis and automation improvements. Created and maintained test data and reusable automation utilities for regression cycles.
MLPLCT (Supply Chain Management)
January 1, 2022 – June 1, 2026
Conducted Enterprise Data Warehouse testing and ETL validation within supply chain data pipelines. Performed data reconciliation and validation using SQL and Tableau dashboards. Executed system and regression testing in cloud environments hosted on AWS. Validated large-scale data migrations including record count and duplicate validations.
Enbridge INC. (Energy Domain)
January 1, 2022 – June 1, 2026
Designed and executed test cases ensuring high-quality releases and defect reduction for large-scale energy applications. Executed system integration testing and regression testing for Java and SharePoint applications. Collaborated with development teams to analyse defect root causes and regression failures. Ensured high-quality software delivery through structured QA processes and Agile sprint testing cycles.
Microsoft Certified: Azure Fundamentals - AZ 900
Microsoft
June 1, 2026 – Present
Tricentis Tosca Automating specialist Level 1
Tricentis
June 1, 2026 – Present
AI Tools Workshop Certification
be10x
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has experience across diverse domains (energy, email management, supply chain, travel) and has worked with various technologies and tools, indicating adaptability. Their involvement in knowledge-sharing and upskilling initiatives suggests a proactive and growth-oriented mindset, which is a positive cultural fit. The focus on structured QA processes and Agile sprint testing cycles aligns with modern development methodologies.
Soft Skills & Operational Fit
The candidate's professional summary and project descriptions indicate a collaborative approach, evidenced by working with development and business teams for defect analysis and automation improvements. The mention of leading knowledge-sharing sessions suggests initiative and a willingness to contribute to team growth. The fast-track promotion indicates strong performance and consistent quality delivery, which aligns with operational excellence.