Mufaddal Sawadiya
About Mufaddal Sawadiya
Mufaddal Sawadiya is a Senior Software Engineer with over three years of experience in the Information Technology industry, specializing in data migration and transformation. He has worked for various companies, including Datafortune and Rainbow Infotech, and holds a Bachelor of Business Administration in Computer Applications along with a SnowPro Core Certification.
Work at kipi.bi
Mufaddal Sawadiya currently serves as a Senior Software Engineer at kipi.bi, a position he has held since 2023. His role involves utilizing his expertise in data engineering to contribute to the company's projects. He works remotely from India, focusing on optimizing data processes and ensuring efficient data management solutions.
Previous Experience in Software Engineering
Before joining kipi.bi, Mufaddal Sawadiya worked at Datafortune as a Software Engineer from 2022 to 2023. His responsibilities included software development and data engineering tasks in a hybrid work environment. He also served as a Software Engineer Trainee at Datafortune from 2021 to 2022, gaining foundational experience in the field. Earlier, he worked as a Trainee BI Developer at Rainbow Infotech (India) Pvt. Ltd. from 2020 to 2021, where he was involved in business intelligence projects.
Education and Expertise
Mufaddal Sawadiya completed his Bachelor of Business Administration in Computer Applications at Dr. Vishwanath Karad MIT World Peace University in Pune from 2017 to 2020. He also attended New Look Central School in Banswara, Rajasthan, where he completed his 10th and 12th grades. He holds a SnowPro Core Certification, which highlights his proficiency in Snowflake data warehousing solutions. Additionally, he is skilled in using Matillion for data transformation processes.
Background in Information Technology
Mufaddal Sawadiya has over three years of hands-on experience in the Information Technology industry, specifically as a Data Engineer. His expertise includes migrating data from on-premises to cloud environments, ensuring that solutions are both efficient and scalable. He is recognized for his ability to optimize data processes in complex data environments, demonstrating a strong understanding of data management.