Backend Engineer, Data Engineering, Data processing pipelines, SDET QA Lead

Connect with multiple databases and data sources(BI tools) to provide quality assurance of incoming data. Create ad-hoc and standard reports, dashboards and visualizations based on business needs. Perform data discovery, analysis, modeling and ETL. Automate test data in various BI tools and test Tableau, Power BI, BOBJ and Cognos APIs integrated with ZenOptics

Develop UI automation framework to handle functional and regression testing using Cucumber and Cypress, Selenium WebDriver (Java) to reduce manual effort and test cycles by 50%. Develop test automation for backend APIs for core web application using Rest Assured (Java based test framework). Test stored procedures and verify data integrity, correctness using SQL queries

Develop test plan, test case, triage issues and log critical bugs. Define test coverage and testing scope. Understand the Business requirement Specification to develop Test Strategy document in achieving product goals. Collaborate with product managers and development teams across all phases of testing from planning to execution. Contribute to documentation, release notes and responsible for QA Sign-off every release.

Used Selenium WebDriver & Cucumber, TestNG, Data Driven framework and Page Object model extensively for testing UI. Setup test environment – Jenkins & Redis on build server and installed test packages.

Wrote SQL queries to perform backend-validation and performed API tests using Java Rest Assured. Test Automation Anywhere RPA bots partnered with Salesforce, Microsoft, MuleSoft and Bot Insight to extract, visualize, and analyze data (Tableau and Power BI). Perform Smoke, Sanity, Functional, Regression, Manual testing & Automated testing in Integration and UAT environments.

Automate functional test cases and prepared automated scripts for regression and functional testing. Utilized Postman for manual API testing and automated APIs

Logged defects, followed-up with engineers to triage issues, identify root cause and perform gap analysis. Managed various severity and priority cases and tracked their progress during the resolution process of incident and problem tickets. Utilized HP Network automation tool extensively for testing and creating complex automation flows for software image updates. Deployed and monitored operating system images from a centralized network management system. Monitored network outage and prediction - created dashboards and KPIs