About

Jason Dsouza is a highly skilled Big Data Engineer with over 6 years of relevant experience in the field. Currently working at Barclays, he has previously worked at Atos, Hewlett Packard Enterprise, Neal Analytics, and Amdocs. Jason's expertise lies in Data Engineering, Big Data, Spark, Hadoop, Kafka, Java, and Apache Hive. He has a Master's degree in Computer Science from Arizona State University and a Bachelor's degree in Computer Engineering from St. Francis Institute of Technology. During his time at Amdocs, Jason was involved in the development activities of Amdocs Data Hub (ADH), a scalable, Hadoop-based data management platform that enables service providers to extract, integrate, and visualize their diverse and rapidly growing data sources. His experience with Core Java, Hadoop technologies (Spark, Spark Streaming, Kafka, HBase, Hive, etc.) has made him proficient in handling complex data engineering tasks. In addition to his current role at Barclays, Jason has also worked as an Associate Big Data Engineer at Deutsche Bank, where he gained valuable experience in the finance sector. Jason's technical skills, combined with his educational qualifications and industry experience, make him a valuable asset to any organization looking to handle large amounts of data. He is a proactive team player who is always willing to take on new challenges and learn new technologies.