About

Nand Jha is a Senior Data Engineer with over 5 years of experience in Cloud Data Engineering and Big Data projects. He currently works at Robert Bosch Engineering and Business Solutions, where he specializes in AWS Glue, Athena, Aurora, Python, Pyspark, and other related technologies. Nand has extensive experience in working on Big Data projects using Spark Core, Spark SQL, Spark, Pyspark, Python, Structured Streaming, Scala, Solace, HDFS, Hive, SQOOP, and Impala. He is also well-versed in Spark testing using HOLDENKARAU testing tools. In addition to his technical expertise, Nand is skilled in shell scripting, Python scripting, git, Continuous Integration and Continuous Delivery, Jenkins, and Hue. He has worked on Machine Learning use cases to perform sentiment analysis, statistical tests, and accuracy prediction with random forest classifier. His experience with ML packages such as Python, Numpy, Pandas, Matplotlib, Scipy, Sklearn, and Seaborn makes him a valuable asset to any team. Nand holds a B.Tech in Computer Science from NIT and a High School Diploma in Mathematics and Computer Science from DAV Schools Network. He has also worked as a Software Engineer at Bosch before his current role. Nand's technical skills include Data Engineering, Spark, Software Engineering, Python, AWS, SQL, test, ML, Amazon Athena, Sentiment Analysis, Random Forest, HDFS, Scikit, Seaborn, Big Data, AWS Glue, Scala, Pandas, Jenkins, CI/CD, Integration, Apache Hive, ETL, Azure, Jupyter, MapReduce, PHP, MySQL, and Web. With his relevant experience of 5.28 years, Nand is a highly skilled Data Engineer who can contribute to any project or team with his expertise in Cloud Data Engineering and Big Data projects.