Dan Keeley

Dan Keeley has a diverse range of work experience spanning over two decades. Their most recent position is as the Chief Engineer at hubb, where they manage a tech team focused on developing an insurtech platform using advanced data science, apps, and low code solutions. Dan utilizes RPA and automation to facilitate groundbreaking development progress at scale. Prior to this, Keeley served as the Head of Data Engineering at Digital Fineprint, where they played a key role in building a metadata-driven datalake and implemented various ETL processes using Python and Apache Hop. Dan also worked with technologies such as Athena, Lambda, Elastic search, and sagemaker. Earlier in their career, Keeley held positions as an Enterprise Data Architect at the Intensive Care National Audit & Research Centre, Solution Architect at Hitachi Consulting, Senior Pentaho Consultant at Aimia Inc, ETL Developer at Deutsche Bank, and Reporting Developer at Muzicall. Keeley's experience also includes roles as a BI Engineer at Aegate and a QA Consultant at Cyberscience.

Dan Keeley attended Loughborough University from 1996 to 1999, where they obtained a BSC degree in Computer Science. In terms of additional certifications, they completed the Neo4j Data Integration Partner Training in January 2019 and also completed A Crash Course in Data Science through Coursera in May 2017.