Sharmadha

I am a results-driven Senior QA Automation Engineer with over 5 years of experience in delivering high-quality software solutions across domains such as ETL/DWH, BI, API, and UI testing. My expertise spans both manual and automation testing, with a strong focus on Python, Selenium WebDriver, and SQL for validating large datasets and ensuring data integrity.

Currently, I work as a Test Automation Engineer at PAYBACK GmbH, Munich, where I lead end-to-end and exploratory testing efforts, drive risk assessments, and promote a strong quality culture within Agile teams. I design effective test plans, manage sprint-level test cycles, and provide QA sign-off on critical releases. I am also actively involved in continuous testing practices integrated into CI/CD pipelines using Jenkins, GitHub, and Azure DevOps.

Previously, I worked at Lotto24 AG, Hamburg, where I set up test environments in AWS S3, performed data validations in Redshift using DBT, and simulated real-time scenarios through Kafka. At Ecolab Digital Center, I led QA initiatives across BI/ETL, API, and UI testing, using tools like PowerApps, Visual Studio, and Test Studio, while ensuring seamless integration testing of REST APIs and secure data handling.

My technical toolkit includes:

• Test Automation: Selenium WebDriver, Python, PyTest, BDD Framework
• Data Testing: SQL, Oracle, MSSQL, Redshift, Informatica, DBT
• Tools & Tech: Jenkins, GitHub, Postman, JMeter, Power BI, Tableau, Apache Airflow, Docker, Azure, AWS
• Project Management: Agile-SCRUM, Jira, Confluence, HP ALM, Azure DevOps

I’m known for my strong analytical skills, attention to detail, and ability to work collaboratively across functions to meet tight deadlines and complex requirements. I’ve also been proactive in mentoring junior testers and contributing to QA process improvements.

I hold a Master’s degree in Communication Systems and certifications including the Google Data Analytics Professional Certificate and DBT Playbook from Kahan Data Solutions.

I’m currently seeking remote opportunities where I can contribute as a Lead QA or Senior Automation QA, especially in projects involving data pipeline testing, AI-integrated QA workflows, or cloud-based automation testing.