Madhumitha Podishetty
About Madhumitha Podishetty
Madhumitha Podishetty is an Azure Data Engineer with a background in Computer Science and International Business. She has over three years of experience in data engineering and specializes in designing data solutions using Azure cloud services.
Work at Confidential
Madhumitha Podishetty has been employed as an Azure Data Engineer at Confidential since 2020. In this role, she has accumulated four years of experience in data engineering. Her responsibilities include designing and implementing data solutions utilizing Azure cloud services, specifically tailored for startup companies. Madhumitha collaborates with cross-functional teams to ensure the delivery of high-quality data products, leveraging her expertise in Azure tools such as Data Factory, Data Lake, and Databricks.
Education and Expertise
Madhumitha Podishetty holds a Bachelor of Technology (B.Tech) degree in Computer Science Engineering from Jawaharlal Nehru Technological University. She furthered her education by obtaining a Master of Business Administration (MBA) in International Business from JNTUH College of Engineering Hyderabad. Her academic background provides a solid foundation for her work in data engineering, where she has developed proficiency in data modeling, data visualization, and Python programming.
Background
Madhumitha Podishetty completed her early education at Bharatiya Vidya Bhavans Public School. Following her schooling, she pursued higher education in engineering and business, which equipped her with the necessary skills for her career in data engineering. With over three years of experience in data engineering and an additional year as a SQL developer, she has built a diverse skill set that supports her professional endeavors.
Achievements
Madhumitha Podishetty specializes in designing and implementing data solutions using Azure cloud services. Her experience includes working with various Azure tools and collaborating with teams to enhance data product quality. She is passionate about learning new technologies and actively seeks challenges in the field of data engineering, demonstrating her commitment to professional growth and development.