About

Shelly Saha is a highly skilled Big Data Engineer with 3.8 years of experience working on Hadoop Ecosystem and Spark Development. She has a strong understanding of major components in Hadoop Ecosystem such as HDFS, Hive, Sqoop, Spark Core and Spark SQL, Spark structured streaming, shell scripting, solace, and Kafka. She also has domain knowledge of supply chain management and automotive concepts. Currently, she is working as part of the Data Engineering Team in Vmware, where she is responsible for requirement gathering, feasibility analysis, development of KPI and optimization, and validation. She has also worked for Bosch for the past 2.9 years on 3 projects, where she was part of the requirement gathering, development, and migration team. Shelly has a Bachelor of Technology degree in Information Technology from Kalinga Institute of Industrial Technology, Bhubaneswar. She has also worked for an internal client, where she developed a near real-time solution for developing a data mart in Oracle and a streaming application to provide real-time analytics for an automotive plant. Additionally, she has worked for an external client, where she made enhancements to their existing solution, automated a manual monitoring process, and was part of the migration of the cluster. Shelly is proficient in various technologies such as Spark, Big Data, Data Engineering, SQL, Hadoop, HDFS, AI, Kafka, Apache Hive, Azure, Scala, AWS, Software Engineering, Jenkins, Databricks, Java, Kubernetes, Docker, ML, MySQL, and Integration. With 4.87 years of relevant experience, she is a dedicated and results-driven professional with excellent problem-solving skills.