About

Arun Kumar is an experienced Data Engineer with over 10 years of hands-on experience in Big Data and Hadoop. He is an AWS Certified Big Data Specialty and a Google Certified Professional Cloud Architect. Arun has a strong understanding of the Hadoop ecosystem, including Map Reduce coding, Spark Stack, Hive, Impala, Pig, Sqoop, HDFS, HBase, and Apache Oozie. He is capable of processing large sets of structured, semi-structured, and unstructured data and supporting systems application architecture. Arun has extensive experience in writing ETL operations, Map Reduce using Pig and Hive UDF functions, and solving performance issues in Hive and Pig scripts with an understanding of Joins, Group, and Aggregation and how it translates to MapReduce jobs. He is also experienced in the installation of Hadoop Cluster and has hands-on experience in Linux systems. Arun has worked with various companies and has gained experience in managing Big Data, Apache NiFi, and AWS Cloud Architectures. As part of a Data Migration project, he migrated data from IBM Main Frame to Amazon S3 Cloud. He has also worked with tools such as Big Data Ecosystem, Amazon S3, Amazon Lambda, Apache Spark, and Oozie. Arun has worked with clients such as AIG Insurance. Arun has a Bachelor's Degree in Computer Engineering from Anna University, completed in 2012. He has a strong tech stack that includes Data Engineering, AWS, Big Data, Hadoop, Spark, Senior Software Engineering, HDFS, ETL, Apache Hive, Python, Java, MapReduce, NoSQL, Cassandra, and Kafka. Currently, Arun is working as a Data Engineer at Solution IT, Inc. He is a highly skilled professional with relevant experience of 10.53 years in the industry.