Narendra Reddy Donthireddy
About Narendra Reddy Donthireddy
Narendra Reddy Donthireddy is a Data Engineer II with over 12 years of experience, currently working at Advance Auto Parts in Raleigh, North Carolina. He specializes in cloud-native data warehousing, particularly with AWS Redshift, and has a strong background in ETL techniques and data visualization using Tableau.
Work at Amazon
Narendra Reddy Donthireddy has been employed at Amazon as a Data Engineer II since 2012. Over the course of 12 years in Seattle, Washington, he has developed expertise in building and maintaining cloud-native distributed data warehouses tailored for advanced analytics. His role involves significant responsibilities in data management and engineering, contributing to Amazon's data-driven initiatives.
Work at Advance Auto Parts
Since 2020, Narendra Reddy Donthireddy has worked as a Data Engineer II at Advance Auto Parts in Raleigh, North Carolina. In this position, he applies his extensive knowledge of data engineering to support the company's data infrastructure and analytics efforts. His work focuses on enhancing data processing capabilities and optimizing data workflows.
Education and Expertise
Narendra Reddy Donthireddy earned a Master of Technology degree from Jawaharlal Nehru Technological University, Kakinada, from 2009 to 2011. His educational background provides a strong foundation for his expertise in data engineering, particularly in cloud technologies and data warehousing.
Technical Skills and Specializations
Narendra Reddy Donthireddy specializes in various AWS technologies, including AWS Redshift, RDS, S3, AWS Glue, Kinesis, and IAM. He has extensive experience in migrating multi-terabyte Oracle Data Warehouses to Amazon Redshift, focusing on encoding, distribution style, storage, and performance optimization. Additionally, he is skilled in setting up and maintaining Hadoop clusters and querying data using Hive.
Data Processing Solutions and Reporting
Narendra Reddy Donthireddy develops petabyte-scale data processing solutions using AWS EMR, which support numerous ad-hoc queries over Presto and Hive. He also creates visually appealing dashboards and reports using Tableau, enhancing data visualization and reporting capabilities for stakeholders.