Pravin Mindhe

Pravin Mindhe

Hadoop Admin @ Confidential

About Pravin Mindhe

Pravin Mindhe is a Hadoop Admin with expertise in administering testing and backup clusters, and securing Hadoop environments. He has hands-on experience in data integration and tuning configurations within the Hadoop ecosystem.

Work at Confidential

Pravin Mindhe has been employed as a Hadoop Admin at Confidential since 2020. Over the course of four years in this role, he has developed a strong proficiency in managing Hadoop clusters. His responsibilities include administering testing environments, conducting proof of concept (POC) initiatives, and overseeing backup and disaster recovery (BDR) processes. He operates from Pune, Maharashtra, India, contributing to the organization's data management and analytics capabilities.

Education and Expertise

Pravin Mindhe holds a Bachelor of Engineering (BE) degree from Jaihind College of Engineering, Kuran. His educational background provides a solid foundation for his technical skills in the Hadoop ecosystem. He has demonstrated expertise in securing Hadoop clusters, focusing on both authentication and authorization processes. His knowledge extends to configuring and integrating data from various sources using core data ingestion tools and services.

Technical Skills and Experience

Pravin Mindhe possesses hands-on experience in tuning configurations for the Hadoop ecosystem, including Spark and MapReduce. He is skilled in optimizing server performance to enhance the efficiency of data processing tasks. Additionally, he has a strong capability in troubleshooting and debugging issues within the Hadoop environment, ensuring smooth operations and minimal downtime.

Competency in Data Management

Pravin Mindhe demonstrates competency in administering various clusters related to testing, proof of concept (POC), and backup and disaster recovery (BDR). His ability to manage these environments is crucial for maintaining data integrity and availability. He effectively integrates data from multiple sources, which is essential for comprehensive data analysis and reporting.

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