About

Rajiv Sharma is a highly experienced Senior Staff Engineer/Director at Visa who has a proven track record of leading, designing, developing, deploying, testing, and maintaining large, complex, high-volume data, distributed cloud-native, event-based, and microservices-based systems across domains like B2B and B2C, finance and retail search engine. With over 16 years of relevant experience, he possesses strong business and technology acumen and is skilled in programming languages such as C/C++, Java, Apache Camel, and vert.x with RXjava or Reactor. Rajiv is a problem solver who enjoys a challenging atmosphere, whether related to technical implementations or solving business process issues, especially financial-related problems with high TPS, distributed, and highly available systems. He is always ready to take up new challenges and has extensive cloud experience with hands-on experience in many Amazon AWS services such as lambda, kinesis, Elastic Cache, Dynamo DB, elastic search, S3, SQS, SNS, API Gateway, EKS, ECS, EBS, EC2, docker, kubernetes, and exposure on Azure. He is a technical expert with a wide range of skills, including web technologies such as HTML, CSS, AJAX, and ExtJs, Java tools such as Spring, Maven, Ant, Perforce, JUnit, TestNG, JTest, Hibernate, Spring MVC, Struts, maestro-prd, CruiseControl, and Log4j, and databases such as Oracle, SQL Server, MySql, and Sybase. He is also skilled in operating systems such as Linux and Windows, other tools such as Subversion, CVS, Apache, and SVN, and frameworks such as Spring boot microservice expert, Micronauts, and Spring Webflux for Non-blocking/Reactive programming, K8's, Docker, and terraform. Rajiv has worked with various companies in the past, including Tesco and SAP Ariba, where he worked as an SDE-3/SDM and Principal Consultant Software Engineer, respectively. He has also completed his CDAC in Advanced Computing and Programming from acts, Pune, and his B.E. in Information Technology from RGPV. In his current role at Visa, Rajiv is leading efforts to build real-time applications on streaming data in the payment system, handling unbounded and bounded data streams, using tools and technologies such as Flink, KStream, Kafka, Java, python, Vertx, Node