Andrew Valasiuk
I am a geospatial data engineer at Kontur for the last two years. I graduated from Belarusian State University in 2020 with a degree in geography. Prior to joining Kontur, I gained valuable experience working with remote sensing technologies and specializing in forest management and monitoring. My passion for harnessing geospatial data to address environmental challenges drives my work at Kontur, where I contribute to innovative solutions and projects in the field.
Sessions
For data-driven organizations, it is critical to have reliable ETL processes. As an open-source tool, Geocint can help organizations and individuals who work with geospatial data and need to process it efficiently.
Geocint is an ETL pipeline for processing geospatial data. At Kontur we have been using Geocint internally for a long time – to build the Kontur Population and Kontur Boundaries datasets. We also used it to prepare data for the Disaster Ninja app before deciding to make it reusable by other organizations in the GIS field.
We built the Geocint pipeline around PostgreSQL, PostGIS, and h3-pg (PostgreSQL bindings for H3). Thus, Geocint combines the powerful data processing features of PostgreSQL with the efficient geometric operations from PostGIS and the key benefits of using the H3 grid system, such as high-performance lookups and a compact storing format.