About

Prakash Udhayakumar is a certified Big Data Hadoop Professional with over 6 years of experience in Cloud and Big Data technologies. He is currently working as a Big Data Engineer at Kpost Software Private Limited, where he specializes in Hadoop, HBase, Hive, Spark, Salesforce, MongoDB, MS-Azure, OpenStack, PHP, Java, Mahout, and Python. Prakash has worked on various projects, including OpenStack Implementation for Setting up Private Cloud, Mahout Recommendation Engine on a Hadoop Cluster, Deploying MongoDB and Hadoop to Amazon Web Services, and Dependability Assessment of Reliable Services in Private Cloud Environments. He has hands-on experience in installing, configuring, developing, maintaining, and designing the Hadoop ecosystem components like Hadoop MapReduce, HDFS, Hive, Sqoop, Pig, Zookeeper, Oozie, and Flume. Prakash is a quick learner and is always eager to learn new technologies and trends. He believes that each defeat is a step towards reaching his goal and teaches him something new. He has a Master of Engineering degree in Computer Science and Engineering from Anna University and a Master of Business Administration in Data Mining & Data Warehousing from the National Institute of Business Management. Before joining Kpost Software Private Limited, Prakash worked as a Cloud and Big Data Engineer at Freelancer, where he worked on AWS Cloud and Big Data Hadoop, Hive projects. He also worked as a Big Data Developer at SK IT Corporate, where he worked on Hadoop, Hive, and Spark. Prakash's technical expertise includes Big Data, Data Engineering, Hadoop, Spark, AWS, HDFS, Web, SQL, MongoDB, Apache Hive, MapReduce, PHP, Python, Java, Salesforce, Azure, MySQL, Kafka, ETL, Terraform, Data Warehouse, QA, ML, NoSQL, Integration, Mobile, Software Engineer, and Infra. With his vast experience and technical skills, Prakash is an asset to any organization.