About

Etesh Agarwal is a highly skilled Software Test Engineer at ZS with a focus on ETL and Big Data testing. With a technical background in Java, Selenium, and TestNG, Etesh has a strong understanding of creating, modifying, and maintaining automation frameworks, including BDD, TDD, Hybrid, Keyword, and Data-Driven Frameworks. He is also experienced in using VCS tools, CI/CD tools like Jenkins and TeamCity, and API testing. Aside from his technical skills, Etesh has excellent interpersonal skills and is a proven team player with an analytical bent to problem-solving. He has experience working independently with minimal supervision and as part of a team. He is also experienced in Agile Projects and has worked closely with Product owners in Agile and attended different ceremonies like Sprint Planning meeting, Scrum, Backlog Grooming, Sprint Review, and Retrospective. Currently, Etesh is working on an AI application named Zaidyn By ZS. He is focused on testing complex Backend Data Engineering Pipelines integrated with ML and Deep Learning Algorithms. He is also creating Big Data Test datasets for executing and testing the ETL pipelines. Prior to his current role, Etesh worked as an SDET at Frugaltesting, where he worked with US-based Fintech and Banking clients as a Test Engineer. He worked on monthly release cycles and covered all aspects of functional and automation testing. He also created an automation framework using POM and BDD approach and managed the existing framework. He increased the automation test coverage during his tenure. Etesh also has experience as a Data Science & Business Analyst at The Sparks Foundation, where he worked on projects using Python libraries, Machine learning algorithms, and Business Analytics tools like Power BI, tableau, and MS Excel. Etesh holds a Bachelor of Technology in Computer Science from Lovely Professional University and completed his High School education from Cecil Convent School, Ambala Cant. He has a relevant experience of 0.43 years and possesses a strong TechStack, including test, SDET, Big Data, Spark, Amazon Athena, ETL, Hadoop, Scala, Selenium, Jenkins, AWS, AI, Data Engineering, Deep Learning, ML, Backend, CI/CD, MongoDB, Web, Software Engineer, and Data Scientist.