Sajid Shaikh
About Sajid Shaikh
Sajid Shaikh is a Big Data Admin with extensive experience in optimizing Hadoop workloads and enhancing Hive performance. He has a Bachelor of Commerce degree from Dr. Babasaheb Ambedkar Marathwada University and has worked in cloud infrastructure and security since 2019.
Work at Confidential
Sajid Shaikh has been serving as a Big Data Admin at Confidential since 2019. In this role, he focuses on optimizing Hadoop workloads through kernel tuning on host machines. He collaborates with an analyst team to enhance Hive performance by utilizing techniques such as partitioning, bucketing, and vectorization. His responsibilities also include implementing ingress and egress traffic control using firewalls to ensure secure data flow.
Education and Expertise
Sajid Shaikh studied at Dr. Babasaheb Ambedkar Marathwada University in Aurangabad, where he earned a Bachelor of Commerce (BCom) degree from 2017 to 2020. His educational background in Business and Commerce provides a foundation for his technical skills in big data management and cloud infrastructure. He has developed expertise in deploying cloud services and optimizing data processing frameworks.
Technical Skills and Projects
Sajid has demonstrated technical proficiency in various areas of big data and cloud computing. He has deployed a proof of concept (POC) cluster on AWS, utilizing managed services such as AWS MSK and Elastic MapReduce. Additionally, he has automated cloud infrastructure provisioning using Terraform, which streamlines resource management and deployment processes.
Cloud Infrastructure Management
In his role, Sajid has effectively isolated cloud infrastructure using virtual networking techniques, including route tables, VPC peering, endpoints, NAT, and internet gateways. He has implemented High Availability for critical components like NameNode and Resource Manager, which enhances the stability of the cluster. Furthermore, he has deployed a secure authentication methodology using Kerberos and Active Directory on Cloudera Enterprise.