feat: Sprint 10 - Architecture docs, CI/CD, operational scripts

Phase 1 - Architecture Documentation:
- Add Architecture section with Mermaid flowchart to README
- Create docs/DATABASE_SCHEMA.md with full ERD

Phase 2 - CI/CD:
- Add CI badge to README
- Create .gitea/workflows/ci.yml for linting and tests
- Create .gitea/workflows/deploy-staging.yml
- Create .gitea/workflows/deploy-production.yml

Phase 3 - Operational Scripts:
- Create scripts/logs.sh for docker compose log following
- Create scripts/run-detached.sh with health check loop
- Create scripts/etl/toronto.sh for Toronto data pipeline
- Add Makefile targets: logs, run-detached, etl-toronto

Phase 4 - Runbooks:
- Create docs/runbooks/adding-dashboard.md
- Create docs/runbooks/deployment.md

Phase 5 - Hygiene:
- Create MIT LICENSE file

Phase 6 - Production:
- Add live demo link to README (leodata.science)

Closes #78, #79, #80, #81, #82, #83, #84, #85, #86, #87, #88, #89, #91

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

README.md

@@ -1,5 +1,9 @@
 # Analytics Portfolio
 
+[![CI](https://gitea.hotserv.cloud/lmiranda/personal-portfolio/actions/workflows/ci.yml/badge.svg)](https://gitea.hotserv.cloud/lmiranda/personal-portfolio/actions)
+
+**Live Demo:** [leodata.science](https://leodata.science)
+
 A personal portfolio website showcasing data engineering and visualization capabilities, featuring an interactive Toronto Neighbourhood Dashboard.
 
 ## Live Pages
@@ -32,6 +36,42 @@ An interactive choropleth dashboard analyzing Toronto's 158 official neighbourho
 - Toronto Police Service (crime statistics)
 - CMHC Rental Market Survey (rental data by zone)
 
+## Architecture
+
+```mermaid
+flowchart LR
+    subgraph Sources
+        A1[City of Toronto API]
+        A2[Toronto Police API]
+        A3[CMHC Data]
+    end
+
+    subgraph ETL
+        B1[Parsers]
+        B2[Loaders]
+    end
+
+    subgraph Database
+        C1[(PostgreSQL/PostGIS)]
+        C2[dbt Models]
+    end
+
+    subgraph Application
+        D1[Dash App]
+        D2[Plotly Figures]
+    end
+
+    A1 & A2 & A3 --> B1 --> B2 --> C1 --> C2 --> D1 --> D2
+```
+
+**Pipeline Stages:**
+- **Sources**: External APIs and data files (City of Toronto, Toronto Police, CMHC)
+- **ETL**: Python parsers extract and validate data; loaders persist to database
+- **Database**: PostgreSQL with PostGIS for geospatial; dbt transforms raw → staging → marts
+- **Application**: Dash serves interactive dashboards with Plotly visualizations
+
+For detailed database schema, see [docs/DATABASE_SCHEMA.md](docs/DATABASE_SCHEMA.md).
+
 ## Quick Start
 
 ```bash