Post

Immowelt AG — Geospatial Search at 80M+ Addresses

Go geospatial backend, <20 ms responses, AWS serverless migration, Vue.js WebGIS.

Posted
By Andriy Oblivantsev
1 min read
Immowelt AG — Geospatial Search at 80M+ Addresses

Immowelt AG · Nuremberg, Germany · Jul 2019 – Sep 2021
Role: Data Engineer / DevOps Engineer (employee)

Highlights

  • Engineered a Go geospatial search backend for 80M+ addresses with <20 ms response times
  • Optimized PostgreSQL/PostGIS queries — up to 10x faster location-based search
  • Migrated legacy .NET services to AWS Serverless (ECS, Fargate, Lambda)
  • Built real-time WebGIS with Vue.js, Vuetify, and Mapbox GL

Product lines

TeamFocus
DaedalusGeo search, autocomplete, DB ingest, Lambda services
TethysVue/WebGIS, PHP GIS lib, housebuilding UI

Scale

~2,926 unique author commits across 33 employer repos (deduplicated from laptop archives).

Tech stack

Go · .NET (legacy) · PostgreSQL/PostGIS · AWS ECS/Fargate/Lambda · Vue.js · Mapbox GL

Companies, Data Engineering
Edit this post
Go PostgreSQL PostGIS AWS Vue.js WebGIS Geospatial Microservices
This post is licensed under CC BY 4.0 by the author.