About

Dhanush Nayak is an experienced Data Engineer with a strong background in Python, Spark, Scala, Hive, Shell scripting, IBM DataStage, and SQL. Currently working at Kaplan India, he has gained valuable experience in the field of data engineering, with a focus on building Spark Scala applications that communicate with Hive/Hadoop tables to read and write data. Dhanush has previously worked as a Software Engineer at Legato Health Technologies, where he developed Big Data applications using Spark Scala to extract data from Hive/Hadoop tables. He also worked at SLK as an ETL Developer, where he used IBM DataStage to build jobs that extracted data from various sources and applied logical transformations before loading it into target Data Warehouses/Datamarts. Dhanush holds a Bachelor of Engineering degree in Mechanical Engineering from Canara Engineering College, where he graduated in 2018. His technical skills include Data Engineering, Spark, SQL, Scala, Software Engineering, Hadoop, ETL, Big Data, Apache Hive, AWS, Python, HDFS, and Data Science. With 4.78 years of relevant experience, Dhanush is a highly skilled Data Engineer who is capable of handling complex data engineering projects. He is a quick learner and has a passion for exploring new technologies and tools to improve his skills and knowledge. Dhanush is a team player who enjoys collaborating with others to achieve common goals and is committed to delivering high-quality work.