Data Engineering
Clean, transform, validate, integrate, and automate data from spreadsheets, databases, APIs, and other sources.
Turn messy data and repetitive workflows into useful, automated systems — from GIS and databases to dashboards, software, and cloud infrastructure.
Practical technology for organizations with real data problems — without the giant consulting-firm overhead.
Clean, transform, validate, integrate, and automate data from spreadsheets, databases, APIs, and other sources.
Spatial analysis, data cleanup, conversion, PostGIS, GeoServer, mapping workflows, and GIS automation.
Replace repetitive manual work with reliable ETL pipelines, scheduled processing, API integrations, and automated reporting.
Turn operational data into dashboards, metrics, visualizations, and reports people can actually use.
Purpose-built utilities and applications using Python, VB.NET, and C++ when off-the-shelf software isn't the answer.
Practical AWS and Azure architecture, deployment, data services, and infrastructure designed around the problem.
Where data, maps, operations, and automation collide.
Our water-agency demonstration platform brings accounts, meters, consumption, GIS, alerts, conservation, work orders, and reporting into one workflow.
Built around realistic synthetic data, it demonstrates what a modern operational data platform can look like.
Discuss a Data ProblemLet's figure out what's causing it, what can be automated, and what a practical solution looks like.
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