• Technical Lead with experience in planning, developing and delivering end to end Saas cloud native distributed software for big data, security and data visibility solutions. Consistently being top performer within the team and organization. Comfortable in startup and fast paced environment handling multiple things. • Build and manage the Apache Spark service for Salesforce customers. Take the Apache spark open source software, make SF related change and create the docker Spark images for Salesforce customers to consume.• Owner of ingest pipeline ingesting billions of network events across hundreds of network protocol for one of the coolest cloud native Network Detection and Response (NDR) product.• Built in house distributed key-value database storing stream of network events aka our own version of Kafka, a system processing continuous stream of key/value pair of network events. • Release planning, building Jenkins CI/CD pipeline, terraform, puppet, blue/green deployment in AWS, S3, SQS, SNS, PostGres, SQL, PostgreSQL, Elastic Search.• Experience with container technologies like LXC and docker.• Designed and implemented our own version of Kafka, system processing continuous stream of key/value pair of network events.• Hands on programming in Java, C++, Python, bash shell scripting, object oriented design, data structures and algorithm.• Experience with performance modelling, profiling, debug, and code optimization.• Patents (USPTO): 1. Intelligent dropping of Packets in a Network Visibility Fabric (Approved - U.S. Patent No. 20180091427). 2. Network Switch Device for Routing Network Traffic through an inline security tool (Approved - U.S. Patent No. 14/880,036). 3. Enabling hardware implemented IP address groups supporting Sec-Ops Use Cases and the deployment of inline tools into core networks (Pending).