Al Onick
About Al Onick
Al Onick is a Senior Quality Assurance Engineer at Gemini with expertise in various testing methodologies and test automation tools.
Title
Al Onick holds the title of Senior Quality Assurance Engineer. He currently works at Gemini, having joined the company in 2019.
Company
Al Onick is employed at Gemini, where he has been working as a Senior Quality Assurance Engineer since 2019. Prior to Gemini, he worked at Marriott International and eClinicalWorks, contributing significantly to their software quality assurance processes.
Professional Experience
Al Onick has substantial experience in software quality assurance. From 2017 to 2019, he worked as a Software Quality Assurance Analyst at Marriott International in Houston, Texas. Before that, he served as a Test Engineer at eClinicalWorks in New York from 2015 to 2017. Across these roles, he specialized in implementing various testing methodologies such as Smoke, Functional, System, Regression, and User Acceptance testing on enterprise applications.
Testing Expertise
Al Onick is proficient in test automation, utilizing tools like Selenium WebDriver, Cucumber, TestNG, Maven, and Page Object Model. He brings extensive knowledge in implementing a wide range of testing methodologies, including Smoke, Functional, System, Regression, and User Acceptance testing. His back-end testing skills are enhanced by his ability to develop complex SQL queries for databases like Oracle and SQL Server.
Software Development Life Cycle Expertise
Al Onick has over six years of experience in the Software Development Life Cycle (SDLC) and Software Test Life Cycle (STLC). He is well-versed in Agile Scrum, iterative, and waterfall methodologies, ensuring comprehensive coverage and high-quality deliverables in software projects.
Programming and Technical Skills
Al Onick possesses operational knowledge in Object-Oriented Programming concepts such as inheritance, polymorphism, abstraction, encapsulation, and interface. His technical skills enhance his ability to execute thorough and efficient software testing.