Padma Kunapareddi
About Padma Kunapareddi
Padma Kunapareddi is a Data Engineer with a B.Tech in Electronics and Communications Engineering from Kakinada Institute of Engineering & Technology. She has experience in ETL processes, Azure services, and currently works at Miracle Software Systems, Inc.
Work at Miracle Software Systems
Padma Kunapareddi has been employed as a Data Engineer at Miracle Software Systems, Inc since 2022. In this role, she focuses on utilizing Azure services for data migration from on-premises systems to cloud environments. Her responsibilities include developing reusable objects and transformations using Informatica PowerCenter and IICS Cloud, contributing to the efficiency and effectiveness of data management processes within the organization.
Education and Expertise
Padma Kunapareddi earned her Bachelor of Technology (B.Tech) degree in Electronics and Communications Engineering from the Kakinada Institute of Engineering & Technology. Her studies spanned from 2018 to 2022, providing her with a solid foundation in engineering principles. She holds certifications in Microsoft Azure and Data Fundamentals, enhancing her knowledge and skills in data engineering.
Background in Data Engineering
Padma possesses hands-on experience with data extraction, transformation, and loading (ETL) processes in data warehousing. This practical knowledge allows her to effectively manage and manipulate data, ensuring it is prepared for analysis and reporting. Her experience includes creating virtual machines on the Azure portal, which supports her work in cloud-based data solutions.
Certifications and Technical Skills
Padma Kunapareddi holds certifications in Microsoft Azure and Data Fundamentals, which validate her expertise in cloud computing and data management. Her technical skills include proficiency in ETL processes, data warehousing, and the use of Azure services. She is adept at developing reusable objects and transformations, particularly with Informatica PowerCenter and IICS Cloud, which are essential tools in her data engineering role.