
Tyler Hays
@tylerhays
GIS software engineer at Duke Energy building mapping applications and geospatial data pipelines.
What I'm looking for
At Duke Energy Corporation, I engineer mapping applications with Angular JS and TypeScript, integrating Deck.gl, Mapbox, and ArcGIS JavaScript API. I also design PostGIS schemas in AWS Aurora RDS and develop Python data pipelines.
At Los Alamos National Laboratory, I scoped, designed, built, and migrated highly available enterprise Portal environments. I also maintained GIS data schemas in Oracle databases and installed ArcGIS Enterprise Server roles.
As a GIS Engineer at Duke Energy Corporation via contract, I designed and administered enterprise GIS environments, automated administration with Python APIs, and developed ETL pipelines integrating business systems with SQL geodatabases. I deployed pipelines in Docker containers managed via Kubernetes.
Earlier, at Lowe’s Companies, I provided geospatial analysis that informed store-development investments. My research at North Carolina State University included developing a Python library to determine spatially explicit environmental impacts from biomass products.
Experience
Work history, roles, and key accomplishments
Senior GIS Software Engineer
Duke Energy Corporation
May 2022 - Present (4 years 5 months)
Engineered high-performance mapping applications using Angular JS and TypeScript, integrating Deck.gl, Mapbox, and ArcGIS JavaScript API. Optimized data delivery by designing efficient PostGIS database schemas in AWS Aurora RDS and developed robust Python-based data pipelines and ETL processes.
Served as the laboratory's primary GIS Admin, scoping, designing, building, and migrating highly available enterprise Portal environments at ArcGIS version 10.9.1. Developed and maintained GIS data schemas in Oracle Pluggable Databases and led modernization efforts for data management and application development.
GIS Engineer
Duke Energy Corporation
Mar 2019 - Jan 2021 (1 year 10 months)
Designed, architected, and administered multiple enterprise GIS environments using agile development. Automated enterprise GIS environment administration using Python APIs and developed ETL data pipelines integrated with SQL geodatabases deployed in Docker and Kubernetes.
Informed business investments in excess of $200 million for store development through geospatial analyses and market trends. Integrated GIS services into Power BI and developed GIS-based web apps within microframeworks.
Provided technical assistance to Fortune 500 clients on the ArcGIS Platform, covering SQL and Oracle enterprise geodatabases, ArcGIS Enterprise components, Python scripting, and geospatial analytics.
Graduate Research Associate
NC State University
May 2014 - Jun 2017 (3 years 1 month)
Advanced the development of spatial variation in Life Cycle Assessment (LCA) methodology through the introduction and implementation of geographic data. Designed and developed a novel Python library to determine spatially-explicit environmental impacts from biomass products.
Data Science Intern
Ketchum Inc.
Nov 2016 - May 2017 (6 months)
Initiated an ETL pipeline for obtaining data from API sources and migrating to a PostgreSQL database with PostGIS extension. Leveraged open-source GIS mapping libraries to create interactive maps using JavaScript and Python.
Education
Degrees, certifications, and relevant coursework
North Carolina State University
Graduate Certificate, Geographic Information Science
Graduate Certificate of GIS from North Carolina State University, completed in Spring 2018.
North Carolina State University
Master of Science, Forest Biomaterials
Master of Science in Forest Biomaterials with research concentrations in geospatial and environmental modeling for biomaterial supply chains, completed in December 2016.
North Carolina State University
Bachelor of Science, Environmental Science
Bachelor of Science in Environmental Science with an undergraduate research concentration in GIS programming and life cycle assessment modeling, completed in May 2014.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
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