Dan Collins
About Dan Collins
Dan Collins is a Lead Data Engineer at Legal & General, specializing in Group Risk. He has extensive experience in data engineering and analytics, having previously held positions at NatWest Group and Nationwide Building Society.
Current Role at Legal & General
Dan Collins serves as the Lead Data Engineer in the Group Risk department at Legal & General. He has been in this role since 2023, contributing to the development of a risk data warehouse project. This project integrates data from an internal risk system using technologies such as Python, Snowflake, and DBT, which supports downstream queries and Power BI reporting.
Previous Experience at NatWest Group
Prior to his current position, Collins worked at NatWest Group in various roles from 2016 to 2023. He held positions including Lead Data Engineer, Senior Data Engineer, and Analyst within the Data & Analytics division. His responsibilities included implementing Snowpark procedures for analytics and developing processes to manage large CSV files for metadata scans, which were then processed in Snowflake.
Background and Education
Dan Collins studied Statistics at the University of Reading, where he earned a Bachelor of Science (BSc Hons) from 2011 to 2014. He also attended Wimbledon College from 2004 to 2011. His educational background has provided him with a strong foundation in data analysis and engineering.
Technical Skills and Projects
Collins has demonstrated expertise in various data engineering tools and platforms. He has a strong focus on cloud resources, particularly AWS, and has developed a proof of concept for the Microsoft Fabric platform. Additionally, he actively shares his projects and code on GitHub, highlighting his commitment to open-source contributions.
Early Career Experience
Before his roles at NatWest Group, Collins gained experience as an Analyst at Nationwide Building Society from 2014 to 2016 and completed a summer internship at RSA in 2013. He also worked briefly as a BI Developer at T.M.Lewin in 2016. These positions contributed to his development in data analytics and engineering.