Core Strengths
Systems-oriented capabilities driving improved reliability and reduced manual effort.
ArcGIS Enterprise administration & support
Enterprise geodatabases & SQL workflows
Python automation, ETL, and QA/QC
Cloud GIS on Azure and AWS
Web GIS apps, dashboards, and delivery
ArcGIS Pro add-ins with C#/.NET
Remote sensing and raster analysis
System integrations, APIs, JSON, and Git
Technical Environment
Comprehensive stack utilized across infrastructure, utilities, and risk workflows.
GIS Platforms
ArcGIS Enterprise
ArcGIS Server
Portal for ArcGIS
ArcGIS Data Store
Web Adaptor
ArcGIS Online
ArcGIS Pro
QGIS
Google Earth Engine
Experience Builder
Dashboards / StoryMaps
Utility Network
Programming
Python
SQL
R
JavaScript
C#
Bash
PowerShell
GIS Libraries & APIs
ArcPy
ArcGIS API for Python
GeoPandas
Shapely
Fiona
Rasterio
pyproj
GDAL/OGR
NetworkX
ArcGIS Pro SDK
Data & Automation
pandas
NumPy
Matplotlib
openpyxl
requests
BeautifulSoup
pyodbc
Data, Cloud & System Integration
Enterprise geodatabases
SQL Server
Azure SQL
Schema design
Versioning workflows
QA/QC
ETL
CAD/PDF-to-GIS
Azure
AWS
Azure Blob Storage
WebGISDR
REST APIs
JSON
Git
Service publishing
Data exchange workflows
Professional Experience
Systems and analytical roles across infrastructure, environment, and risk workflows.
Jul 2024 — Present
GIS Specialist (Enterprise GIS / Systems / Cloud)
R.G. Miller | DCCM
Houston, TX
- Architect and support cloud-based ArcGIS Enterprise environments for secure, scalable GIS operations across engineering and utility workflows.
- Design and maintain ArcGIS Server, Portal for ArcGIS, ArcGIS Data Store, WebGISDR backups, monitoring, and cloud replication processes.
- Build and optimize enterprise geodatabases supporting parcel, zoning, land development, and utility network datasets in SQL Server and Azure SQL.
- Develop ArcGIS Pro add-ins with C#/.NET and the ArcGIS Pro SDK, Python toolboxes, ArcGIS API for Python workflows, and automation scripts for geoprocessing, QA/QC, validation, and delivery.
- Produce web maps, dashboards, analytical applications, and presentation-ready spatial products for technical, operational, and client-facing teams.
Feb 2023 — Jul 2024
Catastrophe Risk Data Scientist (Consultant)
PROSPERiA
Ciudad de México, México
- Analyzed large-scale satellite imagery and geospatial datasets using Google Earth Engine and Esri tools for catastrophe and climate risk assessment.
- Designed Python-based workflows for vegetation indices, spatial indicators, environmental metrics, and repeatable analysis pipelines.
- Applied statistical and machine learning methods to identify geospatial correlations and risk drivers across large study areas.
- Integrated geospatial outputs into dashboards, decision-support products, and stakeholder-facing reports.
Jan 2017 — Apr 2022
Software Engineer
Coastal Ecosystem Research Center
Cayo Coco, Cuba
- Used Google Earth Engine (GEE) and QGIS to support coastal ecosystem analysis through satellite imagery processing, raster analysis, spatial data interpretation, and map production.
- Developed Python and R scripts for raster and vector processing, automation, and spatial visualization.
- Built geospatial data pipelines and services supporting long-term environmental studies and reproducible analysis workflows.
- Collaborated with multidisciplinary teams while maintaining data quality, documentation, and process consistency.
Master's Degree - Informatics for Geospatial Management
Universidad Central “Marta Abreu” de Las Villas
Bachelor's Degree - Computer Science
Universidad Central “Marta Abreu” de Las Villas
- Microsoft Certified: Azure Fundamentals
- AWS Certified Cloud Practitioner
- ArcGIS Python Scripting
- Spatial Data Science & Advanced GIS Analytics