Enterprise GIS /
Geospatial Data Engineer (GISP)
I build and scale production GIS platforms that teams rely on — data architecture, CAD↔GIS, ETL, QA/QC, and enterprise integrations.




Enterprise GIS Experience
Core Competencies
Geospatial Data Architecture
Designed governed enterprise spatial data models to replace fragmented formats — supported by metadata frameworks and operational standards.
ETL & CAD↔GIS Integration
Built robust ETL pipelines with automated validation gates — standardizing exchange formats and improving delivery quality through repeatable QA/QC.
Enterprise Integration & Services
Enabled enterprise integrations and service publishing by owning geospatial data models, QA/QC, and release workflows — supporting automated refresh cycles and reliable access via GIS services.
Cartography, Symbology & Standards
Created scalable cartographic standards and style systems for consistent visualization across large layer catalogs; SME for industry-wide spatial data specifications and symbology frameworks.
Automation, ML & Spatial Analytics
Productionized automation for feature processing and classification inside ETL workflows — reducing manual effort and improving consistency.
Rollout, Enablement & Delivery Ownership
Drove rollout and adoption through hands-on delivery, documentation, and training — supporting teams through implementation and production operations.
Users scaled in enterprise rollout
Unified governed geodata layers
Authored cartographic standards
End-to-end enterprise integrations
People trained & enabled
Projects with centralized governance
Faster data package prep
Governance documents authored
Selected Case Studies
Global Gas Producer — Enterprise GIS / SDI
Built an enterprise GIS foundation for pipeline and facility engineering: 12+ domains / 250+ layers, metadata + lineage, QA/QC, and enterprise cartography (~2,000 styles). Scaled reuse across 300+ facility projects and cut spatial data package prep time by ~30%.
Oil & Gas Operator — Enterprise Spatial Data Platform
Turned scattered CAD/GIS/imagery into a governed PostGIS-based platform with repeatable ETL and QA/QC gates (200+ layers) — becoming the single source of truth for basemaps and spatial data across enterprise systems. Drove rollout across 3 subsidiaries, scaling adoption from 0 → 3,000+ users, and supported 10 enterprise integrations.
Public Sector — Urban Planning / Zoning & Land-Use GIS
Delivered a legally mandated urban-planning GIS (zoning, land-use, constraints) for municipal/regional governments. Completed 7 full deployments and 15+ prototypes, standardizing ETL, QA, and publication workflows.
Technical Stack
GIS Software & Platforms
- ArcGIS Desktop / ArcGIS Pro
- QGIS (PyQGIS)
- Open-source Enterprise GIS stack
- GeoMedia
Databases & Spatial SQL
- PostgreSQL / PostGIS
- Oracle Spatial
- SQL
- Data modeling
ETL & Automation
- FME Desktop / FME Server
- Python (GDAL/OGR, pyproj)
- Batch / scripting workflows
- Reproducible pipelines
Web & Interoperability
- REST APIs
- OGC services: WMS / WFS
- GeoServer
- Data exchange: GeoPackage / GeoJSON / GeoTIFF
CAD / Design Data
- AutoCAD
- AutoCAD Map 3D
- MicroStation
- CAD↔GIS governed schema pipelines
Data Governance & Quality
- QA/QC gates (schema/topology/completeness)
- Data standards & playbooks
- Metadata / cataloging / lineage
- Acceptance testing & delivery control
Dev Tooling & Environments
- Git
- IDEs: PyCharm, VS Code
- OS: Windows, Linux, macOS
- PowerShell / CMD
Applied AI
- Machine Learning / Deep Learning
- LLM Tools & AI-Agents
Delivery Patterns
Scope → outcomes
translate business needs into clear GIS deliverables, acceptance criteria, and data/service requirements.
Model-first data design
define governed schemas (domains, CRS, topology rules) so data stays consistent across teams and projects.
Reproducible pipelines
build repeatable ETL/automation (FME/Python/SQL) with versioned logic and predictable outputs.
QA/QC by design
implement validation gates for schema compliance, topology, completeness, and spatial integrity before publishing.
Metadata & traceability
maintain ownership, lineage, and documentation so datasets are auditable and reusable.
Publish & integrate
deliver data through GIS services and standards (OGC/REST) and support downstream integrations.
Rollout & enablement
provide lightweight docs, training, and handover so solutions get adopted and are maintainable.
Building solutions for industry leaders and high-load platforms
Driving digital transformation across the Gazprom Group.
Vertically integrated oil & gas leader driving industry innovation.
Engineering software and enterprise GIS solutions.
Leading urban mapping platform with high-precision data and navigation.
Experience
Self-employed
- Built a modular data and ML platform for real-time analytics, quant research, and low-latency inference in crypto market workflows.
- Designed reproducible data pipelines covering ingestion, storage, feature engineering, dataset generation, and model workflows.
- Implemented a production-oriented Python stack with analytical and columnar storage for scalable experimentation.
- Prototyped ML workflows for temporal modeling, including sequence models and reinforcement learning experiments.
Gazprom CPS
- Led enterprise GIS delivery for facilities design: scope, architecture, integration, rollout, and operations.
- Built a unified geodata model (12+ domains / 250+ layers) with governed schemas, metadata, and cross-project reuse.
- Implemented QA/QC governance (topology, schema compliance, completeness) and automated validation gates.
- Supervised vendors and style production (~2,000+ styles); trained ~200 staff and mentored/onboarded specialists.
Gazprom Neft
- Scaled a high-load enterprise GIS on an open-source stack; adoption 0 → 3,000+ users across 3 subsidiaries.
- Designed/standardized enterprise data models (200+ layers): CRS, topology rules, attribute domains.
- Delivered requirements→UAT and platform migration to PostGIS/QGIS/GeoServer; built repeatable ETL (FME/Python/QGIS).
- Shipped 10+ integrations and enabled adoption via training and support.
Center for Cadastral Valuation
- Set up a geodata platform in ~2 weeks (GeoPackage hub, SOPs); defined migration to PostGIS.
- Designed target model/standards and implemented ETL (FME/QGIS) with quality controls.
- Built spatial analytics for valuation workflows and delivered reporting maps.
CSoft-Terra
- Delivered 7 rollouts and 15+ prototypes (urban planning, cadaster, utilities), owning data workstreams end-to-end.
- Built spatial DB solutions (PostgreSQL/PostGIS, Oracle) and processed large multi-source datasets for production mapping.
- Developed ETL pipelines (GeoMedia, FME) with validation; standardized formats, QA/QC, and documentation.
- Supervised a small cartography team; trained users and automated workflows via QGIS plugins/scripting.
2GIS
- Maintained large-scale city mapping for 10M+ users with strict QA/QC (geometry, topology, addressing).
- Updated road networks for navigation (turn restrictions, one-ways, speeds) and improved data integrity.
- Delivered high-volume verification and resolved user reports within SLAs (up to 200% of targets).
Standards & Engineering Leadership
National GIS/BIM Standards
Subject-matter expert and co-author contributing to national/industry GIS/BIM standards and related methodologies.
Governance & Documentation
Authored 20+ governing documents (data standards, QA/QC playbooks, usage policies) to make delivery reproducible and auditable.
Team Leadership & Enablement
Supervised GIS specialists and external vendors; led onboarding and training, delivered 200+ user sessions, and ran workshops, webinars, and executive demos to drive adoption.
Certifications & Training
GISP (GISCI)
#162112 (2025)
Selected training
Deep Learning (Coursera), Project Management foundations, Esri Academy &
FME training
Education
Tyumen State University (Russia)
Applied Computer Science in Geography (2004–2010)
Specialist (5-year program, U.S. bachelor's equivalent)
Languages
English (Advanced), Russian (Native)
Get in Touch
Open to entry-level or mid-level GIS roles while establishing my career in the U.S.