About

Jignesh Patel is an accomplished Data Engineer with over 6 years of experience in designing and developing scalable, robust, and reusable big data products/framework. He has a get-it-done, on-time, and high-quality product delivery attitude, and is detail-oriented, committed, and responsible. Jignesh's programming skills include Scala, Java, and Python, and he is certified in AWS and proficient in Azure. He has expertise in big data technologies such as Hadoop, Spark, Hive, Impala, and HBase, and streaming technologies such as Kafka, Spark Streaming, Kafka-Connect, Kafka Streaming, Kafka SQL, Kafka Rest Proxy, IBM MQ, and Kafka Monitoring. He is also skilled in reporting tools such as Tableau, Kibana, and Grafana, and has experience with DB technologies such as Teradata, Greenplum, SQL Server, MySQL, Mongo DB, and ElasticSearch (ELK). Jignesh's accomplishments include being an AWS Certified Associate Solution Architect, receiving MD recognition for leading with innovative ideas, receiving a High Five award for exceptional delivery and teamwork, and being a B.Tech Gold Medalist for Exceptional Merit List. Currently, Jignesh is a Manager at Trafigura, where he is responsible for designing and developing big data products/framework and managing a team of engineers. Previously, he worked at Morgan Stanley as a Manager and Senior Associate, where he led the India team for building real-time scalable advance analytic systems designed to analyze and detect cyber security threats/patterns and alert cyber security applications in near real-time. He also actively managed MS Wealth Management Kafka Cluster and designed governance processes around Kafka development for application teams. Jignesh holds a Master's Degree in Computer Science from Nirma University and a B.Tech in Computer Engineering from Ganpat University. His tech stack includes Kafka, Data Engineering, SQL, AWS, Spark, Big Data, Hadoop, MySQL, MongoDB, Elastic Search, Azure, Software Engineer, Senior Software Engineer, HDFS, Integration, Python, Scala, Java, Apache Hive, Salesforce, and ETL.