Ragi Reddy
About Ragi Reddy
Ragi Reddy is a Data Architect currently employed at Advance Auto Parts in Raleigh, North Carolina, where he has worked since 2019. He holds degrees in Computer Science and Electronics Engineering and possesses extensive experience in big data processing and various data management technologies.
Work at Advance Auto Parts
Ragi Reddy has been employed at Advance Auto Parts since 2019, serving as a Data Architect, Data Warehouse Architect, and DBA. Over the past five years, Reddy has contributed to the company's data management and analytics initiatives from the Raleigh, North Carolina location. His role involves designing and implementing data solutions that enhance the company's operational efficiency and data-driven decision-making.
Education and Expertise
Ragi Reddy holds a Bachelor's degree in Computer Science from the University of Madras, where he studied from 2000 to 2004. He furthered his education by obtaining a Master's degree in Electronics and Communication Engineering from the New Jersey Institute of Technology, completing his studies in 2008. Reddy's educational background provides a strong foundation in computer science and engineering principles.
Technical Skills and Specializations
Reddy specializes in Snowflake Cloud Data Warehouse, recognized for its scalability and performance in handling large datasets. He is experienced in using PySpark for big data processing and analytics. His technical skills extend to data modeling tools such as Erwin, ERstudio, and SAP Power Designer. Additionally, Reddy has expertise in Data Vault 2.0, a methodology for data warehouse design and implementation.
Industry Experience
Ragi Reddy has accumulated industry experience across various sectors, including healthcare, finance, auto insurance, communications, and retail. This diverse background equips him with a comprehensive understanding of different data challenges and solutions tailored to specific industry needs.
Database Management Proficiency
Reddy is proficient in managing NoSQL databases, including MongoDB, PostgreSQL, and HBase. His skills in database management enable him to effectively handle and analyze large volumes of unstructured data, supporting the data architecture needs of his organization.