About

Prasad Mantri is a skilled MTS1 Software Engineer with a passion for data and a keen eye for detail. With over 4 years of experience in the field of Data Engineering, Big Data Development, Business Intelligence analytics and Data Science, Prasad is a true data professional. He has an MS in Information Systems with a focus on Big Data Engineering and Data Science. Prasad has worked through all phases of Software Development Life Cycle, including requirement gathering and analysis, design, project implementation, testing, deployment and maintenance. He has experience working with programming languages such as Python, SQL, R, and Java, and databases such as Microsoft SQL Server, MongoDB, and MySQL. He is also well-versed in Big Data/Cloud Technologies, including Hadoop, Map Reduce, AWS EMR, AWS EC2, AWS ELB, AWS CloudWatch, AWS S3, Apache Spark, HBase, Pig, Hive, and Kafka. Currently working at PayPal as an MTS1 Software Engineer, Data, Prasad has previously worked at Vituity as a Data Engineer and Associate Data Engineer. He has enhanced docker hosted, python-based hl7 data parsing API for real-time healthcare dashboards, re-engineered legacy data pipelines using python to improve data flow process efficiency and maintainability, and automated daily manual maintenance tasks with shell scripting to save on manual hours. He has also implemented Marketing Data Ingestion pipeline using Google Analytics API for Marketing trends analysis. Prasad was also part of one of the 5 finalist teams throughout the USA for Hidden Signals Data Challenge held by the Department of Homeland Security. He has a strong academic background, having completed a Bachelor of Engineering in Computer Engineering from the University of Pune and an MS in Information Systems from Northeastern University. With a strong technical skill set and relevant experience of 8.78 years, Prasad is a valuable asset to any organization that works with data. He is a problem solver with an analytical approach towards any task assigned to him.