About

Vamshi Krishna is an accomplished Data Engineer with over 7 years of experience in the IT industry, specializing in Big Data Development. With 6+ years of experience in Big Data Hadoop and its components like HDFS, MapReduce, Yarn, Pig, Hive, Sqoop, Scala, and Spark, Vamshi is an expert in writing optimized Hive, SQL queries, Shell Scripts, and Scala code to reduce job execution time. Vamshi has worked on both core Hadoop platform development and application development, giving him a strong knowledge of Apache Hadoop code and its internal architecture. He has also worked directly on Apache Hadoop Open Source code at Huawei Technologies R&D Center, further enhancing his skills in this area. In addition to his technical expertise, Vamshi is also capable of processing large data sets of structured, semi-structured, and supporting systems application architecture. He has experience in installing and configuring Hadoop (Secure and Non-Secure) eco-system components. Vamshi's strong communication, collaboration, and team-building skills make him an asset to any organization. He has a proficiency for grasping new technical concepts quickly and utilizing them in a productive manner. Currently, Vamshi is working as an Associate at Cognizant, where he continues to hone his skills in data engineering and Big Data. Prior to this, he worked as a Software Engineer at HCL. Vamshi's technical skills include Hadoop, Spark, Data Engineering, Scala, SQL, HDFS, MapReduce, Big Data, and Apache Hive. With 8.19 years of relevant experience, Vamshi is a highly skilled and experienced Data Engineer who is always looking to expand his knowledge and contribute to the success of his team and organization.