I'm Raphaela Nawa - BI Specialist and Data Engineer building real data pipelines for real people.
All I want for Christmas is for us to use this AI hype to have more human quality time. So I built 25 real data automations — one per day — each one designed as a data gift for someone I admire. Each one tackles a real problem. Each one eliminates manual work that drains hours. Each one ships with full code and documentation.
→ Ingestion (Dec 1–5): API pipelines → Modeling (Dec 6–10): dbt, metrics layers → Orchestration (Dec 11–15): Airflow, monitoring → Dashboards (Dec 16–20): Looker Studio, visualization → AI Insights (Dec 21–25): LLM-powered analysis
| Day | Pillar | Project | Industry | Status | Code |
|---|---|---|---|---|---|
| 1 | Ingestion | GA4 + Google Ads → BigQuery Pipeline | Marketing/Advertising | ✅ Complete | Day 01 |
| 2 | Ingestion | Creator Intelligence System | Creator Economy/Social Media | ✅ Complete | Day 02 |
| 3 | Ingestion | GDPR Lead Ingestion Pipeline | Legal/Compliance | ✅ Complete | Day 03 |
| 4 | Ingestion | Cardano Blockchain Transparency Pipeline | Crypto/Blockchain | ✅ Complete | Day 04 |
| 5 | Ingestion | Museu Ipiranga Cultural Data Pipeline | Heritage/Museums | ✅ Complete | Day 05 |
| 6 | Modeling | SaaS Health Metrics Foundation | SaaS/Software | ✅ Complete | Day 06 |
| 7 | Modeling | Hospitality LTV & Cohort Model | Hospitality/Travel | ✅ Complete | Day 07 |
| 8 | Modeling | SaaS Growth Funnel & Cohort Analysis (dbt) | SaaS/Software | ✅ Complete | Day 08 |
| 9 | Modeling | Property Operations Data Warehouse (dbt) | Hospitality/Property Management | ✅ Complete | Day 09 |
| 10 | Modeling | Family Office Asset Management Data Warehouse | Wealth Management/Finance | ✅ Complete | Day 10 |
| 11 | Orchestration | Retail Daily Performance Report Automation | Retail/Commerce | ✅ Complete | Day 11 |
| 12 | Orchestration | Cybersecurity Data Quality Framework | Cybersecurity/InfoSec | ✅ Complete | Day 12 |
| 13 | Orchestration | Alert Triage Orchestrator (Finance Compliance) | Finance/Compliance | ✅ Complete | Day 13 |
| 14 | Orchestration | Transport Regulatory KPIs - Automated Email Reports | Government/Public Policy | ✅ Complete | Day 14 |
| 15 | Orchestration | Real-Time Analytics Orchestrator - Webhook Event Processing Pipeline | SaaS / Technology | ✅ Complete | Day 15 |
| 16 | Dashboards | SaaS Health Metrics Dashboard (Metabase) | SaaS/Software | ✅ Complete | Day 16 |
| 17 | Dashboards | Rafael - Multi-Jurisdictional Asset Compliance Dashboard | Wealth Management / Legal Compliance | ✅ Complete | Day 17 |
| 18 | Dashboards | Google Arts & Culture Experiment MVP | TBD | 🚧 In Progress | Day 18 |
| 19 | Dashboards | Maritime Underwater Noise Mapping (Geospatial Analytics MVP) | Environmental Marine Science / Ocean Policy | ✅ Complete | Day 19 |
| 20 | Dashboards | TBD | TBD | 🚧 In Progress | Day 20 |
| 21 | AI Insights | AI Insights Layer - Executive Summary Generator | SaaS/Software | ✅ Complete | Day 21 |
| 22 | AI Insights | TBD | TBD | 🚧 Planned | Day 22 |
| 23 | AI Insights | TBD | TBD | 🚧 Planned | Day 23 |
| 24 | AI Insights | TBD | TBD | 🚧 Planned | Day 24 |
| 25 | AI Insights | TBD | TBD | 🚧 Planned | Day 25 |
This repository contains 25 production-ready data automation projects, each designed to solve real business problems for real people. Every project is:
- Practical: Tackles an actual pain point for someone I know
- Complete: Full working code with documentation
- Educational: Explains the "why" not just the "how"
- Free to use: Open source for anyone to learn from or adapt
In the age of AI hype, my goal is simple: use automation to give people back their time. Each project eliminates hours of manual work so people can focus on what matters most.
- Python 3.11+
- Google Cloud Platform account (free tier works for most projects)
- Basic familiarity with command line
# Clone the repository
git clone https://github.com/raphaela-nawa/advent-automation-2025.git
cd advent-automation-2025
# Install dependencies
pip install -r requirements.txt
# Set up configuration
cp config/.env.example config/.env
# Edit config/.env with your credentialsEach day's project is self-contained in its own directory:
cd day01
python day01_DATA_extract_ga4.py
python day01_DATA_extract_ads.py
python day01_DATA_load_bigquery.pySee each project's README for specific instructions.
advent-automation-2025/
├── day01/ # GA4 + Google Ads → BigQuery
├── day02/ # Coming soon...
├── ...
├── day25/ # Final project
├── common/ # Shared utilities
├── config/ # Environment configuration
└── requirements.txt
This is a personal project, but I welcome:
- Bug reports
- Suggestions for improvements
- Questions about implementation
Please open an issue if you find something that could be better!
MIT License - feel free to use this code for learning or in your own projects.
- GitHub: @raphaela-nawa
- Follow along: A new project drops every day in December 2025
Built with data, automation, and a desire to give time back to the people I care about.