Abhimanyu Gupta

GIS Architecture & Development

• Spearheaded the architecture and development of a highly scalable GIS web platform designed specifically for managing telecommunications fiber optic networks, enabling clients to visualize, edit, and analyze complex spatial network data with ease and accuracy.
• Designed and implemented modular, client-configurable ArcGIS Experience Builder widgets using the ArcGIS JavaScript API, allowing end-users to customize spatial tools dynamically without requiring code changes, thereby reducing development turnaround time by 30%.
• Built advanced geoprocessing workflows including route optimization, network connectivity checks, and dynamic service area computations using spatial algorithms, substantially increasing accuracy and reducing network downtime by 20%.
• Created interactive geospatial applications with real-time feature editing and spatial querying capabilities, empowering field technicians and planners with up-to-date network data accessible via both desktop and mobile devices.
• Integrated and normalized diverse geospatial data sources—including shapefiles, KML, GeoJSON, and spatial databases—ensuring a seamless, unified view of fiber routes, network nodes, and manhole locations across the application.
• Automated routine GIS maintenance and data update operations through RESTful ArcGIS API services developed in C#, significantly decreasing manual errors and speeding up GIS data refresh cycles by 40%.
• Orchestrated cloud deployment using AWS EC2 instances with auto- scaling groups and Elastic Load Balancers to deliver highly available, fault-tolerant GIS services with sub-second response times even under heavy loads.
• Successfully installed and configured ArcGIS Enterprise on AWS infrastructure, enabling secure, scalable, and performant GIS service hosting for multiple clients.
• Collaborated closely with cross-functional Agile teams to gather requirements, design solutions, and deliver features iteratively, ensuring client satisfaction and rapid adaptation to evolving business needs.
• Implemented Progressive Web App (PWA) capabilities for offline access to fiber network data, dramatically enhancing field engineers’ productivity in low-connectivity environments.
• Architected and published geoprocessing tools using ArcGIS Arcade expressions, enabling complex spatial computations directly on the client side, reducing server load and improving responsiveness.
• Developed serverless GIS microservices leveraging AWS Lambda to handle asynchronous geoprocessing tasks and real-time IoT data ingestion, reducing infrastructure costs by 25% and enhancing system scalability.

Cloud & DevOps

• Led cloud-native deployment of scalable GIS infrastructure using AWS EC2, S3, Auto Scaling Groups, and ELB to handle large-scale telecom data.
• Deployed ArcGIS Enterprise on multi-node architecture, enabling enterprise-grade role-based access control and scalable publishing.
• Architected CI/CD pipelines with Azure DevOps to automate build, test, and deployment of GIS microservices.
• Developed serverless Lambda-based services to ingest IoT data from telecom assets and update spatial layers in real time.
• Designed resilient backend infrastructure with CloudWatch monitoring and alerting for production support.

Key Projects

• Garbage Waste Management System with IoT Sensor Integration: Built a real-time React-based web application to monitor fill levels of IoT-enabled garbage bins. Integrated WebSocket streams for live status, mapped sensors with Leaflet, and optimized waste collection routes using predictive analysis and adaptive clustering. Enabled real-time alerts, route visualization, and admin dashboards to reduce response time by 35%.
• Utility Operations & Asset Management Platform: Developed a full-stack GIS utility platform integrating ArcGIS Pro, ArcGIS Server, and PostgreSQL with PostGIS. Enabled mapping, real-time tracking, and historical reporting for water pipelines and electric substations. Designed spatial editing tools with snapping, validation, and symbol-based classification. Added custom dashboards to track maintenance logs, component lifecycle, and failure rates over time. Enabled field-to-office data sync using ArcGIS mobile apps and webhooks. Improved operational efficiency and ensured regulatory compliance with utility standards.
• Network Topology Geoprocessing Backend: Designed scalable C# + PostGIS services for network topology validation and batch processing. Used multithreaded processing and spatial indexing to improve performance on large datasets. Supported schema evolution and audit logging.
• Independent GIS API & Frontend: Built a standalone backend API with PostGIS and a React frontend using ArcGIS Core SDK. Provided self-service mapping tools for small enterprise clients with full ownership of backend, deployment, and support.
• ArcPy Automation & Enterprise Tool Deployment: Streamlined spatial workflows with ArcPy and published them as reusable geoprocessing tools across ArcGIS Enterprise. Implemented versioning, data reconciliation, and audit logging.

GIS Architecture & Development

• Delivered highly reusable, client-agnostic widgets for ArcGIS Experience Builder that supported a wide variety of spatial operations such as buffering, clipping, intersection, and AOI management across multiple projects.
• Led efforts to integrate multi-format geospatial datasets (KML, shapefiles, GeoJSON) into tailored web mapping applications, driving urban planning, environmental monitoring, and emergency response capabilities for government and private clients.
• Customized ArcGIS widgets with dynamic pop-ups, layer toggles, and thematic mapping controls, enhancing end-user interactivity and enabling richer data exploration experiences.
• Developed automation pipelines using ArcGIS REST API and C# to cut down manual GIS operations by 25%, accelerating project delivery timelines and improving overall data quality.
• Created administrative web portals that allowed non-technical GIS managers to configure maps, data layers, and application settings without developer intervention, increasing client autonomy.
• Authored and maintained CI/CD scripts using YAML and Azure DevOps pipelines to ensure smooth, continuous delivery of GIS application updates with minimal downtime.
• Integrated ArcFM tools to automate electric and gas network GIS workflows, resulting in improved data accuracy, compliance with industry standards, and faster outage resolution.

Cloud & DevOps

• Managed cloud-based asset delivery using AWS S3, integrated with ArcGIS for map content hosting, and configured secure access policies.
• Deployed and optimized web and GIS applications on AWS EC2, setting up monitoring dashboards for performance, usage analytics, and cost tracking.
• Maintained CI/CD pipelines with Azure DevOps and GitHub Actions for deployments across QA, staging, and production.
• Containerized GIS services using Docker for cross-environment consistency, improved testability, and streamlined deployment.

Data Science & GIS Analytics Projects

• Urban Heat Island Effect Analysis: Analyzed multispectral raster and vector land-use data to locate urban heat zones in major Indian cities. Applied clustering (K-Means, DBSCAN) for hotspot detection. Generated analytical dashboards in ArcGIS Online for decision-makers to plan green infrastructure. Results supported ESG planning and policy for smart city initiatives.
• Survey Location Data Cleaning and Publishing: Cleaned GPS survey data using statistical outlier detection and spatial clustering techniques. Implemented automated validation scripts in Python to ensure data integrity before publishing secure layers on ArcGIS Enterprise. Created filters and time sliders for temporal data comparison. Improved map accuracy for infrastructure planning and environmental studies.

• Delivered custom GIS widgets and tools in ArcGIS Experience Builder, including chart visualizations, interactive filters, and custom layouts.
• Improved county spatial data handling and query performance for public safety and planning departments.
• Advised clients on GIS architecture, data workflows, and scalable deployment including cloud hosting options and multi-user editing best practices.