Lucas Marcone - Frontend Developer (GIS + ReactJS)
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Location: São Paulo, Brazil
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Compensation range discussed: $2,800 - $3,200 USD
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Email: lcsmarcone@gmail.com |
Phone: +55 79 988218841
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Professional Profiles: LinkedIn |
Github•
Earliest date the candidate can join the company: 5 to 10 days' notice.
Full Stack GIS Developer with a Bachelor's Degree in Geography, a Postgraduate Degree in Georeferencing, and over 5 years of experience developing data-driven WebGIS applications. His expertise is in building interactive geospatial platforms using React (Advanced) and JavaScript (Advanced), combined with a deep knowledge of GIS libraries, including OpenLayers, Leaflet, and Deck.gl. He has engineered solutions for the public and environmental sectors, such as developing a WebGIS platform for the Brazilian Federal Assets Office to visualize maritime land datasets. His experience includes designing and developing the EcconData platform for monitoring environmental restoration and carbon projects, integrating PostGIS databases, and building interactive mapping interfaces with React. He possesses strong backend awareness, with 8 years of experience in Python and familiarity with SQL Server and PostgreSQL.
Python | JavaScript | Typescript | React.js | Next.js | HTML5 | CSS3 | Node.js | Nest.js | Django | SQL | PostgreSQL | PostGIS | SQL Server | MongoDB | Leaflet | OpenLayers | Deck.gl | Mapbox GL JS | ArcGIS JavaScript API | GeoJSON | GeoPandas | Shapely | Rasterio | GDAL | QGIS | ArcGIS | Docker | Azure | AWS | Git | Google Earth Engine | Linux
This video from our screening interview provides a look into Lucas's background and experience:
• Advanced (5+ years): He has over 5 years of experience using React to build WebGIS applications. For the Brazilian Federal Assets Office, he developed a geospatial data visualization platform using React, TypeScript, OpenLayers, Leaflet, and Deck.gl to provide interactive access to maritime land demarcation datasets. His work involves creating interactive map interfaces to visualize geospatial layers, perform spatial queries, and display analytics dashboards for environmental decision-making.
• OpenLayers: Utilized in conjunction with React and TypeScript to build a geospatial data visualization platform for the Brazilian Federal Assets Office.
• Leaflet: Integrated into React applications to develop interactive map interfaces for visualizing complex geospatial datasets and supporting environmental analysis.
• Mapbox GL JS: Leveraged in various projects to build and render interactive maps within data-driven web applications.
• Environmental & Carbon Market Solutions: At Eccon Soluções Ambientais, he develops WebGIS applications to analyze environmental data for carbon market projects. This includes creating dashboards and using AI to automate reports on forest restoration feasibility by processing data from LiDAR and drone photogrammetry.
• Oil & Gas Exploration: For Carmo Energy, he contributed to creating a geodatabase for oil and gas exploration fields, developing interactive maps and field applications with ArcGIS Enterprise and React to optimize well drilling and pipeline monitoring.
• Public Sector & Agriculture: For the Brazilian Federal Assets Office, he built a platform for maritime land demarcation. At the Institute of Geography and Statistics (IBGE), he processed agricultural production data using Python and QGIS.
Highly Relevant Industry Experience
• Environmental & AgTech: Over 3 years of experience developing GIS solutions for environmental analysis, carbon markets, forest restoration, and agricultural research.
• Oil & Natural Gas: 1 year of experience as a GIS Analyst at Carmo Energy, focusing on onshore exploration and production processes.
• He has experience writing SQL queries and has worked with both SQL Server and PostgreSQL/PostGIS to create, manage, and maintain complex spatial databases.
• Experience using AG Grid for displaying data in tabular format within React applications. He has also developed interactive web dashboards using React and Power BI to present complex agricultural and environmental data.
• Postgraduate Degree in Georeferencing | Descomplica, Brazil (2024)
• Bachelor's Degree in Geography | Federal University of Sergipe, Brazil (2024)
• Bachelor of Education in Geography (Teaching Degree) | Federal University of Sergipe, Brazil (2018)
Key Qualifications & Highlights
• Full-Stack GIS Architecture: Combines frontend expertise in React and Next.js with strong backend skills in Python, Django, and PostgreSQL/PostGIS. He is capable of managing the entire data lifecycle, from ETL and automation scripts using GeoPandas and Rasterio to building the final frontend visualization with libraries like OpenLayers and Leaflet.
• AI-Driven Geospatial Analysis: In his current role, he integrates AI models with GIS platforms to automate the analysis of farm data and generate investment reports for the carbon market. This streamlines decision-making for environmental restoration and impact assessments.
• Complex Data Processing & Automation: He has hands-on experience processing large-scale photogrammetry data from drones and sensors like LiDAR. He automates critical workflows, including data cleaning and spatial analysis, using Python scripts, significantly reducing manual data processing efforts.
• Cross-Platform GIS Proficiency: He is proficient in both open-source GIS stacks (QGIS, PostGIS, OpenLayers) and proprietary enterprise ecosystems (ArcGIS Pro, ArcGIS Enterprise, Survey123), giving him the versatility to adapt to different client technology environments and integrate diverse systems.
Screening Interview - Key Observations
• Core Technical Stack: Explicitly identified Python as his strongest skill, with 8 years of experience, complemented by strong skills in JavaScript, TypeScript, and SQL. He positions himself as a full-stack developer with a backend focus but with significant frontend experience using React and Next.js for WebGIS applications.
• Preferred GIS Library: Stated a clear preference for OpenLayers, mentioning he uses it in most cases because it "has everything." He also confirmed experience using Leaflet and Mapbox GL in conjunction with TypeScript and React for frontend applications.
• Area for Development: Candidly identified UI/UX and application deployment as his most challenging areas. He finds it difficult to anticipate user behavior.
• AG Grid Familiarity: Confirmed using AG Grid in a past project for displaying data. However, he could not recall the specific implementation details or complexity, suggesting his experience with it may not be recent or deep.
• Relevant Project - Carbon Market WebGIS: Described building a complex WebGIS platform for the carbon market. The system analyzes farm data (soil types, forests, weather) and integrates with an AI to generate investment reports, showcasing his ability to handle and visualize large, complex geospatial datasets.
