Ankita Srivastava
About Ankita Srivastava
Ankita Srivastava is a QA Data Engineer with extensive experience in data engineering and quality assurance across various industries. She has worked with notable companies such as Fiserv, Chipotle Mexican Grill, and Pareto Intelligence, and possesses strong skills in Azure Cloud technologies and automation tools.
Current Role at Pareto Intelligence
Ankita Srivastava currently serves as a QA Data Engineer at Pareto Intelligence. She has been in this role since 2021, contributing her expertise in quality assurance and data engineering. Her responsibilities include ensuring the quality and reliability of data processes and systems within the organization.
Previous Experience in QA Data Engineering
Ankita has a diverse background in QA Data Engineering, having worked at multiple organizations. She was employed at Fiserv from 2011 to 2015, where she gained significant experience in the Pune Area, India. Additionally, she worked at Chipotle Mexican Grill for a brief period in 2021. Between 2016 and 2021, she provided her services as a QA Data Engineer on freelance platforms like Fiverr and Upwork in Chicago, Illinois.
Educational Background in Engineering
Ankita Srivastava completed her Bachelor of Technology (BTech) in Electrical, Electronics and Communications Engineering from SHRI RAMSWAROOP MEMORIAL COLLEGE OF ENGINEERING AND MANAGEMENT, LUCKNOW. Her studies spanned from 2002 to 2006, providing her with a solid foundation in engineering principles.
Technical Skills and Expertise
Ankita possesses extensive knowledge in several technical areas. She is proficient in Azure Cloud, Azure DevOps, Azure Data Factory, and Azure Data Lakes. Additionally, she has strong expertise in automating web applications using Selenium WebDriver and integrating automation scripts with Jenkins for continuous integration. Her skills also extend to ETL/BI testing, database systems, and data warehouse concepts.
Domain Knowledge
Ankita has sound knowledge of various industry domains, including healthcare, retail, and lending & mortgage. This experience enhances her ability to address specific quality assurance challenges within these sectors, contributing to her effectiveness as a QA Data Engineer.