Geospatial   |   AI   |   Strategy

Feeling overwhelmed by technology change?


We provide executive-grade strategic guidance from inception to implementation
to help you get the most out of your geospatial and AI investments.

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Data Engineering

Cercana helps you design, modernize, and scale your data platforms to unlock the full value of your information assets. With decades of experience building enterprise-scale systems, we deliver cloud-agnostic solutions that provide real-time analytics, seamless integration, and the confidence to make data-driven decisions.

We tailor our approach to your needs, drawing on proven frameworks like the medallion architecture, organizing data into bronze (raw data ingestion), silver (cleansed and conformed data), and gold (business-ready analytics) layers, to ensure quality, traceability, and governance. Whether you need a standardized architecture or a highly customized solution, we design systems that are secure, compliant, and built to scale.

Our expertise spans data architecture design, cloud migration, and modernization across AWS, Azure, and Google Cloud. With deep experience in geospatial data engineering with PostgreSQL/PostGIS, Apache Spark, GeoParquet, ArcGIS, FME, and others, we build automated ETL/ELT pipelines that accelerate delivery, reduce risk, and ensure consistent, trustworthy data.

Whether you’re upgrading legacy systems or building advanced analytics platforms, we can help you to create end-to-end solutions that deliver measurable business impact while giving you the flexibility to grow and innovate.