Enrico Pascatti

Interactive maps, real-time analytics, and comprehensive data on 83M+ Italian properties. Make smarter real estate decisions with our powerful SaaS platform.

Product Owner of a novel, cloud-hosted service designed specifically for urban planners.

EC2 & Elastic Beanstalk: Deploying and managing applications with a focus on high availability and scalability AWS Security: Ensuring robust security measures, including SSL configurations and compliance checks. Route 53: Managing DNS settings and traffic flows to optimize connectivity and performance. Scalability: Implementing scaling strategies that respond dynamically to changing demand, ensuring cost-effective resource use.

I am leading the development of a marine data visualization platform that provides academic researchers with essential insights into ocean conditions in Northern and Central Italy. Built with GeoDjango, the platform efficiently handles and visualizes complex datasets such as wind, sea surface temperature, chlorophyll, and radar. In my dual role as a developer and DevOps engineer, I ensure the platform integrates smoothly, operates reliably, and offers an intuitive interface for interactive exploration. This tool helps researchers analyze and understand marine ecosystems and environmental processes more effectively.

I contributed to the development of an innovative Python script designed to empower humanitarian field officers by enhancing disaster risk reduction measures in humanitarian settlements. This project aimed at leveraging technology to bolster community resilience, mitigate the impact of natural disasters, and ensure sustainable safety and well-being in vulnerable areas. My role involved applying technical skills to solve complex challenges, collaborating with a diverse team, and driving forward the integration of advanced analytics and data-driven strategies in humanitarian efforts.

Development of a Bespoke QGIS Tool The tool is designed to process spatial data contained within CSV files and integrate it into QGIS (a popular open-source Geographic Information System) for spatial analysis and visualization.It automates the process of converting CSV data into a geospatially enhanced, analyzable format within QGIS. It's designed to help GIS analysts quickly bring CSV-based spatial data into QGIS, enrich it with spatial attributes, and prepare it for comprehensive spatial analysis and visualization.

As a multifaceted AWS Solutions Architect and Database Admin at Genasys, I spearheaded the development and management of critical features, enhancing both user experiences and server-side functionalities. My contributions spanned: - Ownership of Key Features: Led the creation and implementation of cloud-based user-centric solutions, alongside server-side management, demonstrating my ability to handle comprehensive system components. - Geospatial Database Management: Expertly managed geospatial relational databases using PostGIS and Geoserver, ensuring robust data integrity and accessibility. - Innovative GIS Application Design: Utilized pyQGIS to design GIS applications, significantly reducing labor-intensive processes and streamlining workflow efficiency. - Strategic Data Analysis: Conducted thorough analyses of data sources and providers.

As a specialized GIS Expert at Zonehaven, I focused on enhancing the backend capabilities of our emergency management platform through advanced geospatial scripting and database optimization. My key contributions included: - PyQGIS Scripting: Developed sophisticated Python scripts using PyQGIS to automate complex geospatial processes, significantly improving the efficiency and accuracy of our data analysis and visualization capabilities. - PostGIS Query Optimization: Crafted and optimized complex spatial queries in PostGIS, enhancing the performance and responsiveness of our geospatial database operations. - Geospatial Data Management: Leveraged my expertise in PostGIS to efficiently manage and analyze large-scale geospatial datasets, ensuring data integrity and facilitating rapid retrieval of critical information during emergency situations. - GIS Workflow Automation: Designed and implemented automated GIS workflows, streamlining data processing and reducing manual intervention, thereby enhancing the overall reliability of our backend systems. - Custom GIS Tool Development: Created bespoke GIS tools and extensions using PyQGIS, tailored to meet Zonehaven's specific requirements for emergency response and evacuation planning.

As a Geospatial Consultant specializing in B2B agroforestry intelligence services, my role focused on optimizing agricultural and forestry operations through strategic geographic information systems (GIS). My expertise in remote sensing, AI-driven GIS tools, data visualization, open GIS data, and Python scripting enabled businesses to make informed decisions enhancing productivity, sustainability, and profitability. Remote Sensing and AI GIS Tools: I applied remote sensing technology to capture and analyze geographical data, integrating AI-driven GIS tools to deliver real-time insights on land use and vegetation. This facilitated proactive management of crop health and forest resources, preventing issues like disease outbreaks or soil depletion. Data Visualization: I converted complex datasets into clear, interactive visualizations, aiding clients in understanding trends and anomalies. This was crucial for communicating findings and supporting strategic decisions. Open GIS Data: Utilizing open GIS data, I promoted cost-effective analyses and transparency, supporting collaborations across governmental and non-governmental stakeholders. Python Scripting: Python scripting allowed for automation and customization of GIS applications, streamlining operations and fostering innovation within the agroforestry sector. Throughout my consultancy, I provided essential geospatial insights that significantly influenced agroforestry management, helping clients achieve their environmental and economic goals.

Engineering has granted me a deep understanding of: 1) the working principles that regulate either common-use tools and more sophisticated instruments (i.e. engines, turbines, water pumps and pipes, ammeters) and the knowledge to take care and fix them, 2) the processes involved in the configuration and management of factories, energetic farms and power plants, and 3) the factors that should be taken into account when evaluating the cost of single production lines and when dealing with regional and national economies.