Tech Advisor, Systems Architecture & Data Engineering
Aengus has been involved in all aspects of data systems for two decades, across enterprise data, big data, and cloud data platforms. Originally programming large scale operational/transactional databases, his career moved into parallel/distributed computing, and advanced analytical systems. Aengus has been responsible for the technical strategy, architecture, design, and engineering for multiple enterprise scale data systems, using both proprietary and open source technologies. Aengus advises and collaborates with technology leaders to help them understand and define their real time modern data architectures, incorporating machine/deep learning and other aspects of machine and artificial intelligence.