Real-Time Geospatial Data & Mapping

Overview

Worked on the design and implementation of geospatial features within a real-time SaaS platform, enabling organisations to visualise live location data, geofence activity, alerts, and operational risk on interactive maps and dashboards. The work spanned backend data processing, real-time updates, frontend map rendering, and analytical visualisation, all within a production system used by operational teams to make time-sensitive decisions.

Problem

The platform needed to surface large volumes of geospatial data in a way that was fast, accurate, and actionable. Users needed to:

• Track live user and asset locations on a map
• Detect and respond to geofence entry/exit events
• Filter and query map markers based on multiple criteria
• Receive alerts when geospatial conditions were met
• Analyse trends and activity through charts and dashboards

Solution

Designed APIs to ingest, store and query geospatial data, implemented real-time pipelines for live-location updates and geofence events, and built interactive map-based UI components. Implemented interactive map views with dynamic markers representing live locations, alerts, and geofence states, along with filtering controls to refine visible data for both simple and complex queries.

• Built query mechanisms to filter and aggregate location and alert data
• Integrated alerting pipelines to notify users when geospatial conditions were met
• Used SignalR to push live location updates, geofence events, and alerts to connected clients
• Ensured updates were scoped correctly to users and permissions
• Balanced real-time delivery with performance and reliability concerns
• Visualised aggregated geospatial data using charts and dashboards to highlight trends and patterns
• Ensured performance remained fast and reliable even with high marker counts and frequent updates

Outcome

Operational teams could monitor live geospatial data on interactive maps, receive timely alerts based on geofence activity, and analyse trends through dashboards, improving situational awareness and enabling faster, more informed decision-making.

• Enabled users to monitor live operational data on an interactive map in near real time
• Improved situational awareness through geofence-triggered alerts and notifications
• Reduced noise by allowing flexible filtering and aggregation of geospatial data
• Delivered a scalable foundation for further analytics and reporting features

Role

Full-stack Development responsible for designing and implementing both backend and frontend aspects of the geospatial system, including data models, APIs, real-time pipelines, and map-based UI components.

Tech Stack