Prannoy Ravela
About Prannoy Ravela
Prannoy Ravela is a Lead Data Engineer at Advance Auto Parts, specializing in data infrastructure management and migration projects. He has extensive experience in AWS technologies and has successfully led teams in integrating and automating data solutions.
Work at Advance Auto Parts
Prannoy Ravela has been serving as the Lead Data Engineer at Advance Auto Parts since 2020. In this role, he manages large-scale data infrastructure on AWS, utilizing Infrastructure as Code through Terraform for various projects. His responsibilities include overseeing data migration and integration projects, ensuring the reliability and scalability of data systems.
Data Migration and Integration Expertise
Ravela has designed and led a team to migrate data from Oracle to Snowflake, employing tools such as DataStage, AWS Lambda, Step Functions, AWS Glue, and AWS S3. He has also initiated and executed multiple data integration projects, particularly in transitioning from IBM MQ to Kafka, showcasing his proficiency in data handling and system integration.
Kafka Platform Leadership
As the on-shore lead for the Kafka platform, Ravela has gathered business requirements and provided guidance to the off-shore team. He has designed and launched several projects aimed at enhancing data integration capabilities, demonstrating his leadership in managing complex data systems.
Automation and Scalability Initiatives
Ravela has automated the rebalancing of thousands of Kafka topics using Cruise Control, which contributes to the reliability and scalability of the data cluster. This initiative reflects his commitment to optimizing data processes and ensuring efficient system performance.
Collaboration and Strategic Development
In his current role, Ravela collaborates with solution architects to define and develop database and analytics engagement strategies. He provides scoping, estimating, planning, design, development, and support services for Snowflake platform projects, highlighting his involvement in strategic planning and execution.