About

Nishant Kumar is an experienced Big Data Engineer with almost a decade of experience in the financial services industry. Currently working at PwC, he specializes in Big Data technologies such as MapReduce, Hive, Pig, HBase, and Spark with Java and Restful web services, as well as Data Science algorithms, Statistics, and Exploratory Data Analysis with Python and R. Nishant's expertise extends to Microsoft Azure, where he has experience setting up data pipelines on Azure Databricks and Spark jobs and clusters on Databricks. He is also a core contributor to the Terrain product and has developed ontology for new feeds, optimized current data pipelines, and set up data pipelines on Azure Databricks. Prior to joining PwC, Nishant worked as a Big Data Engineer at Standard Chartered, where he gained further experience in the field. He also holds a Bachelor of Technology in Electronics and Communication Engineering from Swami Keshvanand Institute of Technology, Jaipur, and a Master of Business Administration in System (IT) from IMT CDL. Nishant's tech stack includes Big Data, Data Engineering, Azure, Spark, Data Scientist, Python, Java, Databricks, and Apache Hive. With almost 10 years of relevant experience in the field, Nishant is a driven and dedicated professional with a passion for solving complex problems using technology.