National-Scale Geospatial & DevOps Engineering

Edmar Blaya Tabamo

Ex‑Esri Enterprise GIS consultant, I design, automate, and secure mission‑critical geospatial platforms — blending Enterprise GIS, DevOps, and AI to power government, telecom, and national security operations.

GeoAI & Imagery Intelligence ArcGIS Enterprise Architect Kubernetes / GitLab CI/CD Secure On‑Prem LLMs
View My Work Explore GeoAI Lab
15+ yrs Enterprise GIS & Infra
200+ servers Managed in secure environments
100+ deployments ArcGIS Enterprise & mission‑critical
About

Enterprise GIS Architect • DevOps Platform Engineer • GeoAI Practitioner

I’m a senior hybrid engineer with 15+ years of experience architecting and operating enterprise‑grade geospatial platforms across government, telecom, education, and national security.

My work sits at the intersection of Enterprise GIS architecture, DevOps & platform engineering, and GeoAI innovation. I design resilient architectures, automate deployments, and integrate AI‑driven workflows to deliver real‑time geospatial intelligence at scale.

Currently, I lead platform engineering at GEOSA’s National Geospatial Center in Riyadh and am advancing my AI expertise through a Master of Computing – Artificial Intelligence, with a focus on GeoAI and secure, on‑prem AI models.

GIS Architect
ArcGIS Enterprise, Portal, Server, Monitor, Excalibur, FME Flow, Web GIS.
DevOps Engineer
Kubernetes, GitLab CI/CD, Linux/RHEL, observability, security hardening.
GeoAI Innovator
On‑prem LLMs, imagery intelligence, Python automation, GPU‑accelerated DBs.
Skills

Enterprise GIS • DevOps • GeoAI Stack

GeoINT & GIS Architecture
  • ArcGIS Enterprise (Portal, Server, Datastore)
  • ArcGIS Monitor & ArcGIS Excalibur
  • FME Flow & Enterprise Geodatabases
  • ArcGIS Pro, QGIS, web GIS & dashboards
DevOps & Platform Engineering
  • Kubernetes (RKE2, k3s), Docker
  • GitLab CI/CD, automated deployments
  • Linux (RHEL), Windows Server, VMware, Proxmox
  • Security hardening, infra as code
GeoAI & Automation
  • ArcGIS Python API & ArcPy
  • Jupyter, automation pipelines
  • On‑prem LLM deployment in secure environments
  • AI‑assisted imagery & analytics workflows
Databases & Big Data
  • PostgreSQL, SQL Server, Oracle, MongoDB
  • ETL, data integration across enterprise systems
  • Kinetica GPU DB, Hadoop, Kafka, ELK
Featured Work

National‑Scale Platforms & GeoAI Systems

GEOSA • National Geospatial Center
GEOSA

Nationwide Geospatial Intelligence Platform

Lead Geospatial DevOps Platform Engineer
HA ArcGIS Enterprise • HA ArcGIS Excalibur • ArcGIS Monitor • FME • HA Kubernetes (RKE2) • GitLab CI/CD (On-Prem) • On‑Prem LLMs
  • Managed and operated a secure, high‑availability national geospatial platform.
  • Architected and deployed ArcGIS Excalibur to modernize imagery search, discovery, and exploitation workflows.
  • Implemented ArcGIS Monitor for full‑stack observability, alerting, and SLA tracking.
  • Managed 200+ Linux/Windows servers with automated patching and configuration.
  • Deployed air‑gapped GitLab and Kubernetes HA in staging and production environments.
  • Deployed offline AI LLMs in air‑gapped environments to support sensitive GeoAI R&D.
  • Deployed and configured vectorized database - Kinetica for high-performance analytics
Impact: 40% faster imagery intelligence retrieval, 70% improvement in platform observability and SLA compliance.
STC • Location Intelligence
STC

Location Intelligence DevOps & Automation Platform

Design & Developer Specialist
ArcGIS Enterprise • CI/CD • RPA • Data Warehouse Integration • Cybersecurity Compliance
  • Owned ArcGIS Enterprise as SME, leading operations, upgrades, and performance optimization.
  • Participated in the beta release of on‑prem GeoAI "Ask Your Map" by STC.
  • Designed and implemented DevOps and CI/CD frameworks to automate analytic product delivery.
  • Developed dashboards, web maps, and web apps used across multiple business units.
  • Integrated ETL flows with the data warehouse for enterprise geodatabase synchronization.
  • Collaborated closely with cybersecurity and governance teams to ensure compliance.
Impact: 60% faster deployment cycles and significantly reduced manual operations for GIS teams.
Career Journey

From Network Engineering to National‑Scale GeoAI

2024 – Present • Riyadh, Saudi Arabia
Lead Geospatial DevOps Platform Engineer
National Geospatial Center • GEOSA (Ariba Business Solutions)
Leading design, architecture, and reliability engineering of GEOSA’s National Geospatial Center platform, integrating DevOps automation, observability, and AI‑driven workflows.
2020 – 2024 • Riyadh, Saudi Arabia
Design & Developer Specialist
CCC by STC
Served as ArcGIS Enterprise application owner, driving automation, CI/CD, and data integration to support telecom location intelligence initiatives.
2012 – 2020 • Riyadh, Saudi Arabia
Consultant Enterprise GIS
Esri Saudi Arabia
Functioned as technical lead delivering ArcGIS Enterprise solutions across government, commercial, education, and national security sectors.
2010 – 2012 • Riyadh, Saudi Arabia
Network Technician
Al Moammar Information System
Supported large‑scale server and network infrastructure for a major university data center, including Cisco switching and structured cabling.
2009 – 2010 • Manila, Philippines
IT Engineer
Smartcomp Solutions (Nike Philippines & SM Malls)
Provided Tier‑3 support and Windows platform engineering for corporate environments and retail operations.
Credentials

Education & Certifications

Education

Master of Computing – Artificial Intelligence (Expected 2026) BS in Information Technology – Tarlac State University

Certifications & Training

Oracle Cloud Infrastructure Foundations Cisco CCENT VCE Converged Infrastructure Associate ITIL v3 Foundation ArcGIS Enterprise: Configuring Base Deployment ArcGIS Enterprise: Administration Workflows ArcGIS for Server: Site Configuration & Admin ESRI UC 2019, ESRI UC 2016
GeoAI Lab

Secure AI for Geospatial Intelligence

I focus on integrating AI and LLMs into secure geospatial pipelines — especially in environments where data cannot leave on‑prem or air‑gapped networks.

Current Focus Areas
  • Deploying and tuning offline LLMs in secure, on‑prem environments.
  • AI‑assisted imagery workflows with ArcGIS Excalibur and Python.
  • Automated quality checks and anomaly detection in spatial data streams.
  • Performance optimization with GPU‑accelerated databases (e.g., Kinetica).
  • End‑to‑end observability of AI‑enhanced geospatial pipelines.
Contact

Let’s Talk GeoAI & Enterprise GIS

If you’re building or modernizing a national‑scale GIS platform, need a DevOps‑driven ArcGIS architecture, or want to explore secure GeoAI, I’d be happy to connect.

Website: geofixit.net
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