About

Rokkam Prasanth is a highly skilled Data Engineer with over 5 years of experience in the IT industry. He has a strong expertise in Hadoop Framework and Big Data concepts, and has worked extensively with Hadoop stack tools such as Hive, Pig, and Sqoop. Prasanth is also currently working and learning Apache Kafka and Apache NIFI parallelly as a part of his upscaling goal. He has hands-on experience with Apache Spark, Python, and Unix Shell scripting. Prasanth is familiar with data ingestion pipelines, data modeling, data mining, and ETL workflows. He has worked on Agile Methodology projects extensively, and is capable of processing large data sets of structured and semi-structured data by assessing business rules. Currently, Prasanth is working as a Senior Software Engineer at Factset. Prior to his current role, Prasanth worked as a Data Engineer at IBM, where he developed data pipelines to move data from Salesforce to data lake using Apache Nifi. He also gathered requirements from clients and developed POCs on cutting-edge technologies like integration of Nifi and Kafka. Prasanth managed a team of 3 members to enhance Data Pipelines in Nifi which helped in reducing incidents by 30%. He was also involved in the IBM hiring process. Prasanth has also worked as a Business Technology Analyst at Deloitte, where he worked on end-to-end ingestion of data from diverse sources, including mapping, loading, and transforming it. He developed reusable code using Python and Spark to transform raw data to cater downstream applications used by visualization team and AI team. Prasanth developed a real-time alerting mechanism using Kafka which helped business to react on corrupted data with a latency time of 2 minutes, reducing the time of alerting by 48 hours. He also took the initiative to create a data in motion solution using AWS LAMDA and AWS KINESIS, which was pitched to multiple marketing clients. Prasanth holds a Bachelor of Technology degree in Mechanical Engineering from Supreme Knowledge Foundation Group of Institutions. He is proficient in Data Engineering, Software Engineering, Hadoop, Kafka, Python, Spark, SQL, Big Data, AWS, ETL, Apache Hive, Salesforce, Integration, AI, MySQL, and Mobile. With 5.78 years of relevant experience, Prasanth is a valuable asset to any team.