About

Rahul Amodkar is a highly experienced Senior Engineering Manager with over 20 years of experience in software product engineering. He specializes in Cloud-Native Architecture, Kubernetes, Microservices, Containerized Applications, Docker, Distributed Systems, Serverless Architecture, Auto Scale Applications, Big Data & Data Analytics, Cloud Computing, AWS, Agile, Large-scale Data-processing, and Distributed Computing. Rahul has extensive experience in enterprise product development and engineering management in Internet-scale Enterprise Cloud, Big Data & Analytics applications. He has hands-on development expertise in open-source Big Data frameworks, AWS Cloud Computing, and scalable applications. Rahul has multi-level management experience with Development, Quality Assurance, and Usability teams. He is a result-oriented leader experienced in determining goals and matching those with customer requirements and product road-maps. Currently, Rahul works as a Senior Engineering Manager at Nutanix, where he manages the Nutanix Data Lens™ team. Nutanix Data Lens™ is a new service that runs in the cloud to offer global visibility to potential threats to data from any location, at any scale. Data Lens is designed specifically to provide unique insights into unstructured data environments, as well as insight into data movement, access, and audit logging. Data Lens also provides the ability to set up industry-leading ransomware protection for data. In his previous role, Rahul was the Engineering Manager for the Big Data Analytics Platform Team responsible for planning & executing the platform releases. He successfully built and managed large globally distributed teams of engineers for enterprise products. Rahul has experience in building Big Data Analytics Platform using Kubernetes, Containerized Applications, Microservices, Hadoop, Apache Spark, HDFS, and Apache Spark Streaming. Rahul holds a Master's degree in Computer Science from the Department of Technology, Savitribai Phule Pune University. He is skilled in a variety of tech stacks, including Senior Software Engineer, AWS, Big Data, Spark, Microservices, Kubernetes, Docker, Java, Kafka, Hadoop, QA, HDFS, Web, Spring, NoSQL, Jenkins, Software Engineer, Scikit, CI/CD, Product Manager, Data Scientist, Integration, Snowflake, Selenium, SDET, ML, MongoDB, DevOps, Infra, and Apache Hive.