Core Skills Data mining & parsing: collecting, cleaning, normalizing and enriching data from files, APIs and web sources. Full-stack web apps: backend APIs, DB design, modern frontend, deployment. Geo / GIS: spatial analysis, interactive maps, geo-analytics dashboards. AI-assisted workflows: automation, content generation, data transformation via LLMs. Programming & Backend Python: FastAPI, Django/DRF, async APIs, background tasks. Data stack: Pandas, NumPy, data cleaning & preprocessing, CSV/Excel/JSON/Parquet. API development: REST API design, JWT/OAuth auth, pagination, versioning. API integration: 3rd-party APIs (JSON/XML/OAuth), webhooks, rate limits handling. Tools: Requests/httpx, Pydantic, Celery/RQ, logging & monitoring. Frontend & Web JavaScript / TypeScript. React ecosystem: React, Hooks, basic state management (Context/Redux/Zustand), React Router. UI & layout: HTML5, CSS3, responsive/adaptive layout (Flexbox, Grid), mobile/desktop. Styling: Tailwind CSS; basic Bootstrap / Material UI. Integration: connecting React frontends with REST APIs, forms, validation, file uploads. Databases & Data Engineering Relational DBs: PostgreSQL, Supabase, SQL (queries, joins, window functions, views). Schema design: tables, relations, indexes. Migrations: Alembic / Django migrations, dump/restore. Data pipelines: parsing, cleaning, normalization, field mapping. Data Mining & Web Scraping Scraping: Selenium automation, requests-based scraping, handling dynamic sites. Anti-bot: headless mode, delays, proxies, user-agent rotation. API-based data collection: using official APIs when available. Text extraction: structured data from messy HTML, tables and documents. GIS & Geo-analytics Desktop GIS: ArcGIS, QGIS, OSGeo tools. Spatial data: Shapefiles, GeoJSON, KML, WKT; projections & coordinate systems. Database GIS: PostgreSQL + PostGIS (basic), spatial queries. Geoprocessing: buffering, clipping, spatial joins, distance/area calculations. Web maps: preparing data for Leaflet / Mapbox / OpenLayers, tiles, layers. QA & Testing API testing: Postman (collections, environments, automated checks). Web testing: UI & functional testing (flows, forms, edge cases). Backend testing: basic unit & integration tests with pytest, performance-critical endpoints. DevOps & Deployment CI/CD: GitHub Actions (build, test, deploy pipelines). Reverse proxy & servers: basic Nginx (proxying, SSL, static). Containers: basic Docker for packaging and running services. Environments: Linux basics, logs, env vars, monitoring. AI, Automation & Low-Code Tools Prompt engineering: prompts for LLM-based data transformation, generation and coding. Automation: experience with visual workflow tools (Zapier / Make / n8n-style). AI pipelines: semi-automated cleaning, classification and text enrichment.…Core Skills Data mining & parsing: collecting, cleaning, normalizing and enriching data from files, APIs and web sources. Full-stack web apps: backend APIs, DB design, modern frontend, deployment. Geo / GIS: spatial analysis, interactive maps, geo-analytics dashboards. AI-assisted workflows: automation, content generation, data transformation via LLMs. Programming & Backend Python: FastAPI, Django/DRF, async APIs, background tasks. Data stack: Pandas, NumPy, data cleaning & preprocessing, CSV/Excel/JSON/Parquet. API development: REST API design, JWT/OAuth auth, pagination, versioning. API integration: 3rd-party APIs (JSON/XML/OAuth), webhooks, rate limits handling. Tools: Requests/httpx, Pydantic, Celery/RQ, logging & monitoring. Frontend & Web JavaScript / TypeScript. React ecosystem: React, Hooks, basic state management (Context/Redux/Zustand), React Router. UI & layout: HTML5, CSS3, responsive/adaptive layout (Flexbox, Grid), mobile/desktop. Styling: Tailwind CSS; basic Bootstrap / Material UI. Integration: connecting React frontends with REST APIs, forms, validation, file uploads. Databases & Data Engineering Relational DBs: PostgreSQL, Supabase, SQL (queries, joins, window functions, views). Schema design: tables, relations, indexes. Migrations: Alembic / Django migrations, dump/restore. Data pipelines: parsing, cleaning, normalization, field mapping. Data Mining & Web Scraping Scraping: Selenium automation, requests-based scraping, handling dynamic sites. Anti-bot: headless mode, delays, proxies, user-agent rotation. API-based data collection: using official APIs when available. Text extraction: structured data from messy HTML, tables and documents. GIS & Geo-analytics Desktop GIS: ArcGIS, QGIS, OSGeo tools. Spatial data: Shapefiles, GeoJSON, KML, WKT; projections & coordinate systems. Database GIS: PostgreSQL + PostGIS (basic), spatial queries. Geoprocessing: buffering, clipping, spatial joins, distance/area calculations. Web maps: preparing data for Leaflet / Mapbox / OpenLayers, tiles, layers. QA & Testing API testing: Postman (collections, environments, automated checks). Web testing: UI & functional testing (flows, forms, edge cases). Backend testing: basic unit & integration tests with pytest, performance-critical endpoints. DevOps & Deployment CI/CD: GitHub Actions (build, test, deploy pipelines). Reverse proxy & servers: basic Nginx (proxying, SSL, static). Containers: basic Docker for packaging and running services. Environments: Linux basics, logs, env vars, monitoring. AI, Automation & Low-Code Tools Prompt engineering: prompts for LLM-based data transformation, generation and coding. Automation: experience with visual workflow tools (Zapier / Make / n8n-style). AI pipelines: semi-automated cleaning, classification and text enrichment.WWWW…