Summary
Daniel Wojtak is a founding software engineer with eight years of experience building production-grade backend systems, ETL pipelines, and optimization algorithms using Python, SQL, and cloud-native tooling. He has led teams and rewrites at scale—delivering a sub-second scheduling engine with Pandas/NumPy/PostGIS and overhauling permissions and CI practices to improve velocity and test coverage. Comfortable in Scrum and Kanban, he pairs hands-on coding and code review discipline with mentoring and close collaboration with business stakeholders to turn ambiguous requirements into reliable features. His background in economics-finance informs a pragmatic approach to tradeoffs, optimization, and metrics-driven decision making, and he enjoys applying ML and operations research techniques to real-world routing and scheduling problems. Based in Chicago, he gravitates toward sustainable, well-documented code and learning opportunities that deepen his understanding of systems, networking, and organizational efficiency.
8 years of coding experience
6 years of employment as a software developer
Economics-Finance, Economics-Finance at Bentley University