Ashwath specializes in architecting and building enterprise, large scale Data engineering solutions for critical applications.

Some of his notable achievements include the technology modernization for Bank Fusion platform in Misys and the real time Data analytics use-cases on a highly scalable and distributed platform in Barclays. Continuous integration and related tools have been his forte with hands on expertise on Docker, Vagrant, Jenkins, Git and JIRA.

Ashwath has extensive experience in designing and implementing fast and efficient Data acquisition methodologies using state of the art BigData processing techniques and tools like Spark, Kafka, Hive, Neo4J etc. He is proficient in programming languages like Java, Scala and adept at distributed system design and architecture.

With a strong hand in programming, tools and system administration, Ashwath has worked on several IaaS and PaaS solutions. Has helped design and implement solutions on Azure IaaS, Azure Data Lake and extensively used Azure HDInsights in a large telco in the African continent. Ashwath has also worked on AWS / Google cloud solutions as well as hybrid deployments. Because of his expertise he is called to participate in technical panels to evaluate startups with cloud-based strategies.

Over the years, Ashwath has held various positions across financial institutions; most recent being Engineering Lead for Data platforms and products.