Михаил Картавых
@0003103
Geospatial Data Engineer turning satellite data into scalable Web GIS and automation for environmental monitoring.
Russian FederationWhat I'm looking for
I’m a Geospatial Data Engineer and Full-stack GIS Developer with 5 years of experience in a scientific research center. I specialize in Earth Observation and the automation of ETL pipelines, turning complex satellite and meteorological data into actionable end-user products.
In my current work at Scientific Research Center Planeta, I developed Web GIS (wildfires, drought) and a Desktop GIS for emergency satellite mapping. I built Python ETL pipelines to automate satellite data processing and meteorology products, and I create environmental maps (floods, ice) using ArcGIS, QGIS, ENVI, and PostgreSQL/PostGIS.
I also enjoy taking ownership from end-to-end—like in a real-time wildfire monitoring Web-GIS platform and an emergency Desktop GIS app that automates raw satellite imagery processing and hazard map generation. With a foundation from Tomsk State University—plus research papers in environmental research and predictive modeling—I aim to apply scalable GIS solutions to environmental monitoring, smart cities, and data-driven hazard understanding.
Experience
Work history, roles, and key accomplishments
Meteorologist
Scientific Research Center Planeta
Jul 2021 - Present (5 years)
Developed Web GIS (wildfires, drought) and a desktop GIS for emergency satellite mapping. Built Python ETL pipelines for satellite data processing and created environmental maps (floods, ice) using ArcGIS, QGIS, ENVI, and PostgreSQL/PostGIS.
Education
Degrees, certifications, and relevant coursework
Tomsk State University
Master's Degree
2023 -
Master's degree focused on environmental research and predictive modeling. Studied mesoscale convective systems and severe weather using advanced spatial and statistical analysis for GIS hazard monitoring.
Tomsk State University
Bachelor's degree
2021 -
Bachelor's degree providing a foundation in atmospheric physics, statistical data analysis, and predictive climate modeling. Applied mathematical models to address complex meteorological problems.
Tech stack
Software and tools used professionally
Availability
Location
Russian FederationAuthorized to work in
Job categories
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