Sean Halliburton serves as the Principal Cloud Data Engineer at REI, where he leverages over 15 years of experience in building full-stack data platforms and leading high-performing teams. His role is pivotal in designing, delivering, and supporting enterprise analytics and data science/ML platforms for one...
Sean Halliburton serves as the Principal Cloud Data Engineer at REI, where he leverages over 15 years of experience in building full-stack data platforms and leading high-performing teams. His role is pivotal in designing, delivering, and supporting enterprise analytics and data science/ML platforms for one of the leading outdoor omnichannel co-op retailers. Sean's expertise lies in optimizing data capture, pipeline creation, and the implementation of ELT and ETL processes, ensuring that data flows seamlessly from collection to analysis.
At REI, Sean is at the forefront of a strategic migration from legacy ETL processes to modern tools such as dbt and Apache Airflow, enhancing data efficiency and quality across the organization. His work involves a thorough review and rearchitecture of data schemas to support scalable analytics and machine learning initiatives. By focusing on data observability, he ensures that the data infrastructure is not only robust but also capable of delivering real-time insights that drive business decisions.
Sean's technical proficiency spans a diverse array of programming languages and frameworks, including JavaScript, Python, SQL, and Java, as well as cloud services like AWS (EC2, S3). His hands-on experience with NoSQL databases such as MongoDB further enriches his ability to create versatile data solutions. As a leader in the field, Sean emphasizes the importance of quality assurance and business intelligence, fostering a culture of data-driven decision-making that aligns with REI's mission to inspire and enable outdoor adventures. His commitment to continuous improvement and innovation positions him as a key player in shaping the future of data at REI.
