Data & Process Analysis · Power BI · Microsoft Fabric · SQL · Python · Hamburg
I am training as a Fachinformatiker für Daten- und Prozessanalyse (IHK, expected completion 06/2027) and building a practical portfolio around Data/BI, process analytics, Power BI, Microsoft Fabric, SQL and Python.
My focus is on turning business processes into clear data models, dashboards, KPIs and actionable insights.
My background combines communications, PR and media work, academic experience in German and American Studies as well as Journalism, Media and Communication Studies, and experience in international business contexts.
This helps me approach data work not only technically, but also from a business, documentation and stakeholder perspective.
Today, I am building a practical Data/BI profile with a strong focus on the Microsoft Data Stack, SQL, Python, API-based data workflows and process-oriented analytics.
| Area | Current Focus |
|---|---|
| Data & BI | Power BI, reporting, KPIs, dashboards |
| Data Modelling | SQL, relational databases, clean data structures |
| Analytics | Python, pandas, data cleaning, automation, analysis |
| API & Data Workflows | REST APIs, JSON data, reproducible data collection |
| Microsoft Stack | Power BI, Microsoft Fabric, Azure fundamentals |
| Infrastructure | Linux basics, Cisco networking fundamentals, switching, VLANs, secure remote access documentation |
| Business Context | Process analysis, documentation, stakeholder communication |
I focus on reproducible, documented Data/BI workflows:
- Clear business questions
- Documented data sources
- Simple and explainable data models
- Validation checks before interpretation
- Readable SQL and Python
- Small, testable API and data-processing steps
- Stakeholder-oriented summaries
- Responsible use of AI-assisted tools
Power BI · Microsoft Fabric · SQL · Excel · Data Modelling · KPIs · Reporting
Python · pandas · NumPy · matplotlib · scikit-learn basics · Java basics · C/C++ basics
REST APIs · JSON · CSV · reproducible data collection · documented transformation steps
Microsoft SQL Server · SQL Server in Docker · MySQL · MariaDB · Relational data modelling
Git · GitHub · VS Code · PyCharm · IntelliJ IDEA · DataGrip · DataSpell · CLion
Microsoft Azure fundamentals · Docker Desktop · Linux basics · Cisco switching fundamentals · Tailscale remote access lab
| Area | Credential / Focus | Status |
|---|---|---|
| Data & Process Analysis | Fachinformatiker für Daten- und Prozessanalyse (IHK) | In training, expected completion 06/2027 |
| Python | PCEP – Certified Entry-Level Python Programmer | Exam scheduled 08/2026 |
| Python | PCAP – Certified Associate Python Programmer | Exam scheduled 08/2026 |
| Cloud Fundamentals | Microsoft Azure Fundamentals (AZ-900) | Exam scheduled 07/2026 |
| Networking | Cisco CCNA (200-301) | Exam scheduled 07/2026 |
| Linux | Linux Essentials training | Completed |
| Agile / Scrum | EXIN Agile Scrum Master | Completed |
| Product Ownership | EXIN Agile Product Owner Bridge | Completed |
| PR / Communication | IHK certificate in PR- und Medienarbeit | Completed |
- A practical Data/BI portfolio focused on Power BI, Microsoft Fabric, SQL and Python
- Small, reproducible learning repositories for core development workflows
- A Hamburg-based exploratory data analysis project: hamburg-district-data-basics
- A small Python/API project that ranks selected German cities by current weather data: open-meteo-germany-weather-ranking
- A documented remote-access lab using Tailscale across Windows, macOS and iOS devices: remote-access-network-lab
- A documented Cisco switching lab for CCNA-level fundamentals: cisco-switching-lab
- A static portfolio website for datatidehh.de
| Repository | Focus |
|---|---|
| hamburg-district-data-basics | Hamburg district profile data analysis using Python, pandas, public city data and documented findings |
| open-meteo-germany-weather-ranking | Python/API project using Open-Meteo data to rank selected German cities by current weather conditions |
| sql-server-docker-basics | Microsoft SQL Server 2022 Docker learning project using DataGrip, SQL scripts and DPA-style training data |
| open-learning-resources | Curated, license-aware learning resources for Git, Python, statistics, SQL/databases, Java, Linux, networking/Cisco and C++ |
| Repository | Focus |
|---|---|
| python-data-basics | Python 3.12 data environment with pandas, NumPy, matplotlib, scikit-learn, PyCharm and DataSpell |
| cisco-switching-lab | Documented Cisco switching lab using Catalyst switches for VLANs, trunks, STP and basic Layer 3 concepts |
| remote-access-network-lab | Documented Tailscale-based remote access lab connecting Windows, macOS and iOS devices, including SSH over a private Tailnet |
| java-basics | Java 21 learning project with IntelliJ IDEA, Eclipse Temurin and a small IPv4 subnet calculator |
| cpp-basics | C++20 learning project with CLion, CMake, Ninja and a small IPv4 subnet calculator |
These repositories document focused, practical setup, learning and portfolio projects. They emphasize clean tooling, reproducible environments, documented decisions and basic development workflows.
I am building projects that demonstrate practical Data/BI and process analysis skills:
- Power BI dashboards with clean data models and business KPIs
- SQL and relational modelling with realistic training data
- Python-based data collection, cleaning, analysis and small API workflows
- Documented learning paths in Data/BI, software development and IT fundamentals
- Hands-on portfolio development with GitHub, SQL, Python and Power BI
- Clear focus on the Microsoft Data Stack and Hamburg-based opportunities
- Additional practical exposure to Linux, networking, Cisco switching and secure remote-access documentation
- Website: datatidehh.de
- LinkedIn: linkedin.com/in/datatidehh
- Kaggle: kaggle.com/DataTideHH
- GitHub: github.com/DataTideHH