Srikanth B. is a seasoned Hadoop/ETL Admin/Developer at Michigan State University, bringing over 6 years of robust experience in Hadoop Administration and more than a decade of expertise in data integration and ETL processes. His current role involves managing a complex Cloudera (CDH 6.x) cluster...
Srikanth B. is a seasoned Hadoop/ETL Admin/Developer at Michigan State University, bringing over 6 years of robust experience in Hadoop Administration and more than a decade of expertise in data integration and ETL processes. His current role involves managing a complex Cloudera (CDH 6.x) cluster comprising over 60 nodes and housing an impressive 1 petabyte of data. Utilizing Cloudera Manager on a Linux RedHat 7.4 environment, Srikanth ensures optimal performance, reliability, and scalability of the Hadoop ecosystem, which is critical for the university's data-driven initiatives.
In addition to his Hadoop administration skills, Srikanth has a strong foundation in IBM's InfoSphere Information Server, where he has developed and maintained ETL processes across various platforms, including Windows, Unix, and Linux. His extensive experience with DataStage 8.x/9.x/11.x allows him to streamline data workflows and enhance data quality, which is essential for effective data governance and analytics.
One of Srikanth's key projects involved the creation of an Apache Kafka cluster using Confluent Kafka, where he implemented robust security measures, including SSL encryption, SASL authentication, and access control lists (ACLs). This project not only improved data streaming capabilities but also ensured compliance with stringent security protocols.
With proficiency in tools such as Azure Data Factory, Azure DevOps, and Azure Kubernetes Service (AKS), Srikanth is adept at integrating cloud solutions with on-premises systems, fostering a seamless data pipeline that supports the university's research and administrative functions. His commitment to leveraging cutting-edge technologies and best practices positions him as a valuable asset in the ever-evolving landscape of data management and analytics.
