Shubham Shinde
About Shubham Shinde
Shubham Shinde is a Big Data Hadoop and Cloud Administrator with expertise in managing Virtual Private Clouds on AWS and implementing high availability in Hadoop clusters. He holds a Bachelor of Engineering from Savitribai Phule Pune University and has been working in his current role since 2020.
Work at Confidential
Shubham Shinde has been employed at Confidential as a Big Data Hadoop and Cloud Admin since 2020. In this role, he is responsible for managing and optimizing Big Data environments. His work includes setting up and maintaining Virtual Private Clouds (VPC) on AWS, ensuring high availability for critical components in Hadoop clusters, and implementing backup and disaster recovery solutions. Shubham's expertise contributes to the overall efficiency and reliability of the organization's data management systems.
Education and Expertise
Shubham Shinde earned a Bachelor of Engineering (BE) degree from Savitribai Phule Pune University, completing his studies from 2014 to 2018. His educational background provides a solid foundation for his work in Big Data and cloud administration. He possesses proficiency in various technologies, including Hadoop, AWS, and data lifecycle management, which enhances his capabilities in managing large-scale data environments.
Technical Skills in Big Data
Shubham Shinde has developed a range of technical skills in the Big Data ecosystem. He is experienced in configuring and managing Hadoop components, including YARN, Hive, Spark, and Kafka. His skills extend to performance tuning and troubleshooting these components to ensure optimal functionality. Additionally, he has implemented advanced security features in Hadoop, such as Role Based Authorization using Sentry and Extended ACL for HDFS, enhancing data protection and access control.
Migration and Optimization Projects
In his current role, Shubham Shinde has been involved in significant projects, including the migration from CDH 6.3.0 to Cloudera Data Platform (CDP). He has also worked on optimizing data lifecycle management by configuring S3 bucket lifecycle policies. These projects demonstrate his capability to manage complex data environments and implement effective solutions for data storage and retrieval.