Veranika Kazakevich
About Veranika Kazakevich
Veranika Kazakevich is a Big Data Senior QA Analyst at TD Insurance in Montreal, Canada, with extensive experience in quality assurance and data management. She has worked in various roles at EPAM Systems and holds a Bachelor's degree in Computer Science from Belarusian State University of Informatics and Radioelectronics.
Current Role at TD Insurance
Veranika Kazakevich currently holds the position of Big Data Senior QA Analyst at TD Insurance, where she has been employed since 2020. In this role, she is responsible for executing and validating workflows, as well as investigating data issues within a Big Data environment. Her expertise includes data quality verification and validation, utilizing tools such as Sqoop for file ingestion based on Copy book and IDC specifications. Prior to her current role, she served as a Senior QA Analyst at TD Insurance from 2018 to 2019.
Previous Experience at EPAM Systems
Before joining TD Insurance, Veranika Kazakevich worked at EPAM Systems in various capacities. She began her tenure there as a Software Quality Assurance Engineer from 2009 to 2013, followed by a role as a Business Analyst from 2013 to 2017. Throughout her time at EPAM Systems, she developed skills in quality assurance and business analysis, contributing to her comprehensive understanding of project management and data analysis.
Educational Background
Veranika Kazakevich studied at the Belarusian State University of Informatics and Radioelectronics, where she earned a Bachelor's degree in Computer Science. Additionally, she attended the State Higher Radioengineering College, achieving a technician qualification in Computer Science. This educational foundation has equipped her with the necessary skills for her roles in quality assurance and data management.
Technical Skills and Tools
Veranika Kazakevich possesses a range of technical skills relevant to her field. She is proficient in using project management and documentation tools such as JIRA, JTMF, Confluence, SharePoint, and HPLM. Her experience also includes working with data management technologies like Hadoop, Hive, and Impala, as well as Oracle GoldenGate. These skills enable her to create effective test strategies and formalize SIT efforts estimations.
Expertise in Big Data and Quality Assurance
Veranika Kazakevich has a strong background in quality assurance within Big Data environments. She is experienced in executing and validating workflows, as well as investigating data issues. Her expertise extends to creating test strategies and ensuring data quality through verification and validation processes. This combination of skills positions her as a knowledgeable professional in the field of Big Data analysis and quality assurance.