Afrin Shaikh
About Afrin Shaikh
Afrin Shaikh is a Senior Data Engineer with extensive experience in data modeling and project management. Currently employed at Next Pathway Inc., he previously worked at HSBC and Cognizant Technology Solutions, contributing to significant projects and leading teams in data engineering.
Work at Next Pathway Inc.
Afrin Shaikh has been employed at Next Pathway Inc. as a Senior Data Engineer since 2022. In this role, she focuses on data engineering tasks that involve designing and implementing data solutions. Her responsibilities include managing data pipelines and ensuring data integrity while utilizing modern data technologies.
Previous Experience at HSBC
Prior to her current position, Afrin Shaikh worked at HSBC as a Senior Software Engineer from 2016 to 2017 in Pune, Maharashtra, India. During her tenure, she contributed to software development projects, enhancing her skills in software engineering and data management.
Career at Cognizant Technology Solutions
Afrin Shaikh served as an Associate at Cognizant Technology Solutions from 2012 to 2016 in Pune. In this role, she gained valuable experience in software development and data engineering, which laid the foundation for her subsequent career advancements.
Education and Expertise
Afrin Shaikh holds a Bachelor of Engineering (B.E.) in Computer Engineering from Sardar Patel Institute of Technology, Andheri, Mumbai, which she completed from 2009 to 2012. She also earned a Diploma in Computer Engineering from M.H. Saboo Siddik Polytechnic from 2006 to 2009. Her educational background supports her extensive experience in data modeling, including Star Schema and Snowflake modeling.
Technical Skills and Projects
Afrin Shaikh has extensive expertise in data modeling, including FACT and Dimensions tables. She has led a team of 12 as a Technical Lead for a major project with OTIS Elevators. Her technical skills include implementing data warehouse applications using Microsoft Azure Data Factory and SQL Server, as well as automating and deploying pipelines using Azure DevOps with a CI/CD approach.