About

Umesh Zagade is a highly skilled Big Data Engineer with over 4 years of experience in the field. He holds a Master's degree in Mathematics and is proficient in a variety of tools and technologies, including Hadoop and its Ecosystems, Spark, Python, R language, Machine Learning, Tableau, Scala, Shell Scripting, MySQL, MongoDB, Pyspark, Talend, Cassandra, and Flask. Currently working at Barclays, Umesh is responsible for developing and maintaining data pipelines using Python, PySpark, SQL, Unix, Hadoop, Elastic Search, and other technologies. He has also worked as a Senior Software Engineer at IGT and 3i Infotech, where he gained expertise in Python, Pyspark, SQL, MongoDB, AWS S3, Glue, Lambda, Hadoop, Hive, Sqoop, and HDFS. Umesh is a firm believer in continuous learning and is always looking for ways to improve his skills and make an impact with his knowledge and efforts. He is passionate about data engineering and big data and enjoys working with complex data sets to derive insights and create value. In addition to his technical skills, Umesh is an excellent communicator and collaborator, and has a proven track record of working effectively in cross-functional teams. He is a graduate of Savitribai Phule Pune University and Doctor Babasaheb Ambedkar Marathwada University, where he earned his Bachelor's and Master's degrees in Mathematics, respectively. Umesh's technical expertise includes Data Engineering, Big Data, SQL, Python, Hadoop, MongoDB, Spark, AWS, Software Engineering, ML, MySQL, Cassandra, Elastic Search, Search, Flask, Scala, HDFS, and Apache Hive. With his strong technical skills and commitment to continuous learning, Umesh is a valuable asset to any organization looking to leverage the power of big data to drive business growth and innovation.