Colton Piper
About Colton Piper
Colton Piper is a Spatial Data Engineer at TomTom with a background in Applied and Computational Mathematics.
Title and Current Role
Colton Piper holds the title of Spatial Data Engineer. Since 2020, he has been working at TomTom as a Spatial Data Engineer. In this role, he has enhanced his skills in spatial analysis and gained expertise in relational databases and SQL. His responsibilities include using git for version control and employing Python for creating processes that connect to databases and execute queries.
Education and Degrees
Colton completed his Bachelor’s Degree in Mathematics at Plymouth State University from 2012 to 2016. He furthered his education at Florida State University where he achieved a Master of Science - MS in Applied and Computational Mathematics from 2017 to 2019. His studies at Florida State included subjects like High Performance Computing, where he utilized Cuda and OpenMP.
Early Professional Experiences
Prior to his current role, Colton worked as a Summer Research Student at Ohio Wesleyan University for 2 months in 2015. Additionally, he served as a Tutor at Plymouth State University from 2013 to 2016, where he assisted students in comprehending complex mathematical concepts.
Technical Skills and Proficiency
Colton has developed strong proficiency in various technical skills throughout his career and education. At TomTom, he became adept with relational databases and SQL for spatial analysis. He has also improved his Python skills, particularly in creating processes that connect to databases and execute queries. Colton implemented a web app service using the PERN stack and has experience with Angular for frontend development. His coursework also involved gaining experience with Android Studio and Java.
Expertise in High Performance Computing
During his time at Florida State University, Colton studied High Performance Computing. He worked with tools like Cuda and OpenMP, which equipped him with advanced computational skills. These skills have contributed to his expertise in creating efficient and optimized processes for spatial data analysis.