Rachael L.
About Rachael L.
Rachael L. is a QA Engineer with over 10 years of experience in data migration and integration, currently working at Next Pathway Inc. in Toronto. She possesses expertise in various technologies and programming languages, along with a strong background in software development methodologies and cloud platforms.
Work at Next Pathway Inc.
Rachael L. has been employed as a QA Engineer at Next Pathway Inc. since 2020. In this role, she focuses on ensuring the quality of data migration and integration processes. Her expertise in various technologies, including Hadoop, Hive, Sqoop, and Spark, contributes to her effectiveness in this position. Rachael operates from Toronto, Ontario, Canada, and has accumulated four years of experience in her current role.
Education and Expertise
Rachael L. studied at Huaiyin Institute of Technology, where she earned a Diploma in Mechanical and Technological Engineering. This educational background provides her with a strong foundation in technical principles. She possesses expert experience in data migration and integration, along with hands-on skills in programming languages such as Java, Python, and JavaScript.
Technical Skills and Tools
Rachael L. has extensive knowledge of Software Development Life Cycle (SDLC) methodologies, particularly Waterfall and Agile/Scrum. She is experienced in cloud platforms including AWS, Azure, and Google Cloud Platform (GCP). Rachael is skilled in using business intelligence tools like Cognos, Tableau, and Power BI for reporting. Additionally, she is familiar with CI/CD practices using Jenkins and utilizes tools such as HP-ALM, JIRA, and TFS for project management and quality assurance.
Industry Experience
With over 10 years of experience, Rachael L. has worked across various domains, including Insurance, Telecommunications, Retail, and Banking. This diverse background enhances her ability to adapt and apply her skills in different industry contexts. Her experience includes working with complex SQL queries based on source-to-target mapping (STM) and using ETL tools like IBM DataStage and Informatica PowerCenter for data processing.