Summary
Paul Oneill is an Enterprise Architect with over 14 years of hands-on experience designing, developing and deploying large-scale distributed systems, currently leading cloud and big data architecture at Dun & Bradstreet. He specializes in Hadoop ecosystem technologies (HBase, Hive, HDFS, Oozie) and building AWS-deployed data platforms using frameworks like Cascading and MapReduce. His background spans full-stack engineering, site architecture panels, and operational ownership of high-volume, multi-tenant systems from his Sabre days, giving him a rare blend of development, architecture and run-time experience. Known for redesigning and refactoring legacy services into scalable enterprise solutions, he pairs deep technical judgment with practical prototyping to de-risk large transformations. Based in Ireland with a B.A.Sc. in Mathematics and Computer Science from University College Dublin, he brings steady leadership and a pragmatic focus on production-ready data platforms.
13 years of coding experience
22 years of employment as a software developer
Bachelor of Applied Science (B.A.Sc.), Mathematics and Computer Science, Bachelor of Applied Science (B.A.Sc.), Mathematics and Computer Science at University College Dublin