About

Namita Mhatre is a Software Engineer at Exabeam with over 5 years of relevant experience. She specializes in Big-data technologies, Machine Learning, and Security. Namita obtained her Master's degree in Computer Science from Stony Brook University, where she also worked with the HI Lab (Human-Interaction Lab) under Professor Roy Shilkrot. Namita's primary fields of interest are Data Engineering, and she has industry experience in web development. Prior to joining Exabeam, she was a Member of Technical Staff at Patternex, where she wrote logstash parsers for different types of log sources, switched the entire pipeline from bash scripts to Airflow for better code organization and management, and worked on feature extraction and model training for use cases like Gmail and Twitter exfiltration, and File sharing. Namita also worked as a Software Engineering Intern at Juniper Networks, where she wrote DTA scripts for automating FIP Snooping, IPv4 and IPv6 test cases for Junos Fabric Fusion with QFX10000 series of switches as aggregation devices. Namita's Tech Stack includes Apache Airflow, ML, HDFS, Spark, Cassandra, Hadoop, Kafka, Jenkins, Python, Scala, and Web. She is a proactive individual who is always eager to learn new technologies and is passionate about solving complex data engineering problems. Namita is an excellent team player and collaborates well with her colleagues, making her an asset to any organization.