Dakota Sanchez leads all data and AI operations to streamline workflows internally that lead to more efficient and impactful deliverables for Till's clients.
Dakota Sanchez is a versatile engineer with a background in industrial and systems engineering. Throughout his career, Dakota has specialized in leveraging data-driven solutions to optimize workflows and enhance operational efficiency. His expertise spans data engineering, software automation, and process improvement, with a focus on creating scalable and efficient systems.
Previously, Dakota worked as a Data Engineer, where he collaborated with cross-functional teams to improve data workflows, enhance automation, and support accurate data processing. His experience also includes operations engineering, where he contributed to the optimization of manufacturing workflows and implemented solutions to address production challenges.
Dakota holds a B.S. in Industrial and Systems Engineering from the University of Oklahoma. His broad technical skill set makes him a key player in any team looking to harness technology for improved performance.