
Miguel Barrenechea developed and maintained core features for the Vizzuality/amazonia-360 platform, focusing on data-driven reporting, geospatial visualization, and robust analytics. He engineered interactive grid filtering, dynamic PDF reporting, and locale-aware ArcGIS integrations, using TypeScript, React, and Next.js to ensure maintainable, scalable code. Miguel refactored data pipelines and API integrations to improve reliability and data coverage, while enhancing UI/UX for accessibility and mobile workflows. His work included automating CI/CD processes, expanding test coverage, and modernizing infrastructure with Docker and Terraform. These efforts resulted in a more reliable, user-friendly platform that supports complex data exploration and stakeholder reporting.

October 2025 performance highlights for Vizzuality/amazonia-360. Delivered UI polish and feature enhancements, strengthened stability across the Results UI, and advanced PDF rendering and reporting capabilities, driving clearer data presentation and improved user experience. Major work included: UI/Layout and styling fixes; Results sidebar; default topic visualizations; copy functionality; search improvements; PDF rendering and metadata enhancements; reports and grid display enhancements; homepage UI upgrades; locale and navigation improvements; and reliability improvements (Axios upgrade, tests updated, environment variable handling). Focused on business value by improving usability, consistency, and data delivery for stakeholders while reducing flaky behavior and technical debt.
October 2025 performance highlights for Vizzuality/amazonia-360. Delivered UI polish and feature enhancements, strengthened stability across the Results UI, and advanced PDF rendering and reporting capabilities, driving clearer data presentation and improved user experience. Major work included: UI/Layout and styling fixes; Results sidebar; default topic visualizations; copy functionality; search improvements; PDF rendering and metadata enhancements; reports and grid display enhancements; homepage UI upgrades; locale and navigation improvements; and reliability improvements (Axios upgrade, tests updated, environment variable handling). Focused on business value by improving usability, consistency, and data delivery for stakeholders while reducing flaky behavior and technical debt.
September 2025 (Vizzuality/amazonia-360): Delivered substantial UI/UX and data-exploration improvements across grids, indicators, and maps, along with locale-aware ArcGIS integration and analytics tooling. This work focused on accelerating data discovery, multilingual support, and visibility into user engagement to drive product decisions.
September 2025 (Vizzuality/amazonia-360): Delivered substantial UI/UX and data-exploration improvements across grids, indicators, and maps, along with locale-aware ArcGIS integration and analytics tooling. This work focused on accelerating data discovery, multilingual support, and visibility into user engagement to drive product decisions.
August 2025 monthly summary for Vizzuality/amazonia-360 highlights the delivery of foundational readiness for the webshot feature, data architecture improvements, and enhanced reporting, all while expanding test coverage. The work focuses on business value, reliability, and maintainability through environment standardization, data consolidation, and better visibility into user-driven reporting. Overall impact: Improved deployment consistency and data integrity, reduced build surface area, and more accurate reporting aligned with user filters, enabling faster iteration and reduced maintenance costs.
August 2025 monthly summary for Vizzuality/amazonia-360 highlights the delivery of foundational readiness for the webshot feature, data architecture improvements, and enhanced reporting, all while expanding test coverage. The work focuses on business value, reliability, and maintainability through environment standardization, data consolidation, and better visibility into user-driven reporting. Overall impact: Improved deployment consistency and data integrity, reduced build surface area, and more accurate reporting aligned with user filters, enabling faster iteration and reduced maintenance costs.
Month: 2025-07. Focused on delivering the Partners section on the Vizzuality/amazonia-360 homepage. Implemented a dynamic React component to render partner logos and links, added new image assets for partner visibility, and established a scalable pattern for future partner integrations. No major bugs reported or fixed this month. This work enhances partner exposure, strengthens business relationships, and provides a reusable component for future updates. Technologies demonstrated include React, asset management, frontend development, and version control (Git).
Month: 2025-07. Focused on delivering the Partners section on the Vizzuality/amazonia-360 homepage. Implemented a dynamic React component to render partner logos and links, added new image assets for partner visibility, and established a scalable pattern for future partner integrations. No major bugs reported or fixed this month. This work enhances partner exposure, strengthens business relationships, and provides a reusable component for future updates. Technologies demonstrated include React, asset management, frontend development, and version control (Git).
June 2025 monthly summary for Vizzuality/amazonia-360 focusing on data reliability, mobile UX, and code quality. Deliveries: Data Filtering Enhancements and Country Display Improvements; Mobile Drawing: Polygon Completion on Mobile; Code Cleanup and Refactoring. Bug fixes: BigInt Handling Bug in Data Filter. Impact: more accurate data filtering, improved mobile drawing workflow, and a cleaner codebase with reduced maintenance costs. Technologies/skills demonstrated: frontend data filtering logic, BigInt handling, mobile sketching UX, code cleanup and Jest setup.
June 2025 monthly summary for Vizzuality/amazonia-360 focusing on data reliability, mobile UX, and code quality. Deliveries: Data Filtering Enhancements and Country Display Improvements; Mobile Drawing: Polygon Completion on Mobile; Code Cleanup and Refactoring. Bug fixes: BigInt Handling Bug in Data Filter. Impact: more accurate data filtering, improved mobile drawing workflow, and a cleaner codebase with reduced maintenance costs. Technologies/skills demonstrated: frontend data filtering logic, BigInt handling, mobile sketching UX, code cleanup and Jest setup.
May 2025 monthly summary for Vizzuality/amazonia-360: Focused on expanding analytics capabilities and improving data integrity in rendering pipelines. Delivered enhancements to analytics data ingestion and processing, alongside a critical BigInt support upgrade and grid rendering bug fix. These changes increase data coverage, accuracy, and reliability for dashboards and analyses, directly supporting more informed business decisions and scalable analytics growth.
May 2025 monthly summary for Vizzuality/amazonia-360: Focused on expanding analytics capabilities and improving data integrity in rendering pipelines. Delivered enhancements to analytics data ingestion and processing, alongside a critical BigInt support upgrade and grid rendering bug fix. These changes increase data coverage, accuracy, and reliability for dashboards and analyses, directly supporting more informed business decisions and scalable analytics growth.
April 2025 — Vizzuality/amazonia-360: Delivered a broad set of UX, localization, data, and API improvements that enhance accessibility, mobile usability, and data coverage while simplifying API access. Key features delivered include accessibility and home page UX enhancements, mobile navigation and language selector enhancements, internationalization and translation updates, indicators and map data enhancements, sketch tooltips UI refinements, and table UI improvements. API architecture was modernized with proxy-based access consolidation and a move toward direct API usage, alongside the addition of new Amazônia 360 datasets.
April 2025 — Vizzuality/amazonia-360: Delivered a broad set of UX, localization, data, and API improvements that enhance accessibility, mobile usability, and data coverage while simplifying API access. Key features delivered include accessibility and home page UX enhancements, mobile navigation and language selector enhancements, internationalization and translation updates, indicators and map data enhancements, sketch tooltips UI refinements, and table UI improvements. API architecture was modernized with proxy-based access consolidation and a move toward direct API usage, alongside the addition of new Amazônia 360 datasets.
Monthly performance summary for 2025-03: Delivered a suite of UI, data, and reliability improvements across Vizzuality/amazonia-360 that enhanced data exploration, visualization quality, and production stability. Key features include enhancements to the Popups system (enabled states, examples, and structured JSON), default-open chart legends, and default visualizations for topics, along with broader indicator JSON improvements. Implemented substantial search and UX refinements (country search, case-sensitive search, XL prose styling, responsive UI) and expanded data capabilities (new data sources, updated population raster URL, imagery tests, and knowledge icons). Strengthened stability and security with build fixes, robust error handling (404/500), responsive chart resizing (AM-320), Next.js middleware fixes, and removal of Basic Auth in production, plus tuning of QueryClient retries. Added automation and reporting improvements with Puppeteer-based PDF generation. These efforts reduce time-to-insight, lower support overhead, and enable more reliable, scalable dashboards for data-driven decision making.
Monthly performance summary for 2025-03: Delivered a suite of UI, data, and reliability improvements across Vizzuality/amazonia-360 that enhanced data exploration, visualization quality, and production stability. Key features include enhancements to the Popups system (enabled states, examples, and structured JSON), default-open chart legends, and default visualizations for topics, along with broader indicator JSON improvements. Implemented substantial search and UX refinements (country search, case-sensitive search, XL prose styling, responsive UI) and expanded data capabilities (new data sources, updated population raster URL, imagery tests, and knowledge icons). Strengthened stability and security with build fixes, robust error handling (404/500), responsive chart resizing (AM-320), Next.js middleware fixes, and removal of Basic Auth in production, plus tuning of QueryClient retries. Added automation and reporting improvements with Puppeteer-based PDF generation. These efforts reduce time-to-insight, lower support overhead, and enable more reliable, scalable dashboards for data-driven decision making.
February 2025 — Expanded data coverage and refined reporting capabilities in Vizzuality/amazonia-360, delivering enhanced data sources, robust GeoJSON editing, and UX improvements that drive faster, more accurate insights. Emphasis on data integration, UI polish, and scalable infrastructure to support broader analyses and stakeholder reporting.
February 2025 — Expanded data coverage and refined reporting capabilities in Vizzuality/amazonia-360, delivering enhanced data sources, robust GeoJSON editing, and UX improvements that drive faster, more accurate insights. Emphasis on data integration, UI polish, and scalable infrastructure to support broader analyses and stakeholder reporting.
December 2024 monthly summary for Vizzuality/amazonia-360. Delivered feature-rich enhancements across grid filtering, UI accessibility, H3 visualization, and data API refinements. Focused on business value: improved data exploration, faster insight generation, accessibility compliance, and maintainable front-end/back-end integration.
December 2024 monthly summary for Vizzuality/amazonia-360. Delivered feature-rich enhancements across grid filtering, UI accessibility, H3 visualization, and data API refinements. Focused on business value: improved data exploration, faster insight generation, accessibility compliance, and maintainable front-end/back-end integration.
November 2024 focused on delivering a cohesive, data-driven reporting and visualization experience for Vizzuality/amazonia-360, consolidating grid-related capabilities into a streamlined Contextual Viewer and enhancing imagery/indicator visualization, while stabilizing map rendering by fixing H3 grid layer behavior. This release tightens the feedback loop between grid-based reporting and geospatial visualization, enabling faster, more accurate decision making for users.
November 2024 focused on delivering a cohesive, data-driven reporting and visualization experience for Vizzuality/amazonia-360, consolidating grid-related capabilities into a streamlined Contextual Viewer and enhancing imagery/indicator visualization, while stabilizing map rendering by fixing H3 grid layer behavior. This release tightens the feedback loop between grid-based reporting and geospatial visualization, enabling faster, more accurate decision making for users.
October 2024 summary for Vizzuality/amazonia-360: Focused on improving test reliability and CI quality. Achieved by introducing test doubles to decouple tests from MapImageLayer and by enhancing pre-commit checks. Specifically, mocked MapImageLayer to reduce dependencies on map layer implementation and updated Husky pre-commit to enforce linting, type checking, and test runs before commits. These changes were delivered through commits 'Fix: tests' and 'Husky fix (#74)'. Impact: more stable test suite, faster feedback loops, and stronger gatekeeping against regressions, enabling safer, faster feature delivery. Skills demonstrated: unit/integration testing, mocking, test doubles, preprocessing with Husky, linting and type checks, CI reliability.
October 2024 summary for Vizzuality/amazonia-360: Focused on improving test reliability and CI quality. Achieved by introducing test doubles to decouple tests from MapImageLayer and by enhancing pre-commit checks. Specifically, mocked MapImageLayer to reduce dependencies on map layer implementation and updated Husky pre-commit to enforce linting, type checking, and test runs before commits. These changes were delivered through commits 'Fix: tests' and 'Husky fix (#74)'. Impact: more stable test suite, faster feedback loops, and stronger gatekeeping against regressions, enabling safer, faster feature delivery. Skills demonstrated: unit/integration testing, mocking, test doubles, preprocessing with Husky, linting and type checks, CI reliability.
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