Hands on data engineer and architect in residence for a growing distributed enterprise marketing platform (DEM+). Currently designing and implementing big data pipelines. Hyper-focused on streaming data, with real time infrastructure to ingest, process and analyze enormous amounts of data potentially for millions upon millions of users. Recently enjoying pushing the limits with AWS, Kafka, Kinesis, Spark, ElastiCache, Redis, GraphDb, Couchbase, Sparql, DynamoDB.

Software Architect and engineer specializing in secure, high performance, event driven applications. Personally interested in: SaaS, PaaS, Microservicees, Distributed, fault-tolerant, and real-time systems.My most recent work has focused on designing and implementing PaaS/SaaS platforms; cloud computing infrastructure; web services; API Design; distributed systems; databases; deployment and search systems.Contributed to the end-to-end architectural design of the microservices platform. This included defining the application stack as well as core components (messaging, logging, security, storage, continuous delivery and deployment). Initially served as sme and owner of authorization and authentication service using token-based identity and authorization. Later, designed and implemented code deployment pipeline using Docker, AWS CodeDeploy, CodeShip (CI), AWS, ECS and EC2. Tech stack includes using NodeJS, ReactJS, Mongo, Redis, RabbitMQ, Docker, Mesos, Kubernetes, Hadoop. Solr and ElasticSearch.

Left financial world for a vertical change to Media and Ad Tech with a focus on building data centric, distributed real time systems. Provided solutions for the following: · Early stage design and development of proprietary distributed real-time bidding (RTB) system. Worked on scalability, parallelization, and performance issues.· Developed features for Advertising Portal with node.js; Advertising Engine using Java: SMS using node.js, memcached; and server deployment APIs with python; Server migration to AWS· For global media firm building infrastructure for large scale graph analytics.

Designed and developed a multi asset trading platform for fixed income securities and credit derivatives.Architected, designed, and developed a high performance, highly configurable, multithreaded order matching engine that supported 300+ dealer users trading on 2500+ instruments.Developed and enhanced a username/password authentication service in Java which used Message driven Middleware to provide multiple server systems with a single unified interface using multiple data sources such as Oracle, Sybase, and LDAP.Developed a systems bridge between two leading electronic fixed income trading platforms. Instrumental in debugging and fixing threading issues (I/O, concurrency, thread pools).Developed the trading front in Swing for new trading product including high throughput server connectivity, responsible for 60% of the US Treasuries liquidity.

Designed, developed, and supported a Java server/client system which parsed/collected NYSE market-on-close data (broadcasted via multicast) and then distributed that data to Java Swing GUIs on trader’s desktops.Implemented and supported a Java Swing client order correction tool which used JMS topics to allow support team to receive/correct/reject invalid order data.Developed several other applications used by the traders and support team using technologies such as Java, Swing, JMS, JDBC, and Perl.