Rohit Verma
About Rohit Verma
Rohit Verma is a Technology Lead at IoT83, specializing in application and infrastructure architecture with expertise in Java and NoSQL databases. He has a background in Big Data and real-time streaming data analytics, having worked in various roles since 2015.
Work at IoT83
Rohit Verma has been serving as a Technology Lead at IoT83 since 2018. In this role, he focuses on Industrial IoT Application Enablement and Digital Transformation. Prior to this position, he worked as a Senior Software Engineer in Big Data at IoT83 for 11 months, where he contributed to various projects aimed at enhancing IoT solutions. His tenure at IoT83 has been marked by significant contributions to the development and implementation of technologies that support real-time analytics.
Previous Experience at TO THE NEW
Before joining IoT83, Rohit Verma worked at TO THE NEW as a Software Engineer specializing in Big Data from 2015 to 2017. During his time there, he gained valuable experience in big data consulting, which further solidified his expertise in data analytics and application development. His role involved working on various projects that leveraged big data technologies to deliver effective solutions.
Education and Expertise
Rohit Verma holds a Master of Computer Applications (MCA) degree from Dehradun Institute of Technology, where he studied from 2012 to 2015. His academic background laid the foundation for his expertise in Application and Infrastructure Architecture, particularly in Java and NoSQL databases. He possesses hands-on experience with real-time streaming data analytics, utilizing technologies such as Spark and Kafka.
Technical Skills and Projects
Rohit Verma has extensive technical skills in real-time streaming data analytics. He has worked on platforms capable of supporting over 5 million live connected devices for real-time analytics using Structured Streaming. His experience includes taking Spark Structured Streaming to production environments, demonstrating his capability in deploying scalable data solutions.