22.10.2025 aktualisiert
Premiumkunde
100 % verfügbarSenior Business Intelligence Consultant
München, Deutschland
Weltweit
Über mich
Senior Business Intelligence & AI Consultant with 15+ years of experience in Data Analytics, Cloud Technologies, and Data Engineering. Expert in BI systems and LLMs – combining deep technical expertise with strategic business value across industries.
Skills
I have more than 15 years of professional experience in Business Intelligence, Data Analytics, and Artificial Intelligence, with strong expertise in cloud technologies, data engineering, and modern machine learning approaches. My background spans the design of traditional BI systems, the development of data-driven platforms, and the implementation of AI-powered solutions, enabling me to analyze, transform, and leverage complex data landscapes for strategic decision-making.
In my current role as a Senior Consultant – AI & Data Engineer, I have developed interfaces for data integration and processing (REST/Graph API, batch & streaming), implemented AI models for automated data cleansing, classification, and anomaly detection, and built analytics pipelines with contextual SQL queries. I trained and optimized Large Language Models (e.g., LLaMA 3) for SQL generation, developed APIs and microservices using FastAPI, conducted SQL performance tuning in Snowflake, and designed Delta Lake architectures with Databricks/PySpark. In addition, I prepared aggregated KPIs for Power BI reports and established scalable data lake solutions.
Previously, I worked as a Senior BI Consultant for leading organizations such as Deloitte, Roche Diagnostics, the Bavarian State Ministry, and major telecommunications providers. In these roles, I was responsible for the setup, migration, and optimization of BI systems with tools including Tableau, Power BI, SAP HANA, Oracle, and MS SQL Server. I designed complex data models, automated ETL workflows, modernized reporting landscapes, implemented role-based security concepts, and managed migrations between Tableau, Power BI, and cloud platforms.
I also have extensive experience in project and stakeholder management: I led BI and data projects using agile methods (Scrum, Kanban), coordinated resources, facilitated workshops and trainings, and supported international teams in rolling out new reporting and data platforms.
My core competencies include:
- Business Intelligence & Data Warehousing (Tableau, Power BI, SSIS/SSRS/SSAS, SAP BW, Snowflake, Databricks)
- Programming & Data Processing (SQL, PL/SQL, T-SQL, Python, Java, ReactJS, REST)
- Artificial Intelligence & Machine Learning (LLM training, prompt engineering, MLflow, AI-powered BI solutions)
- Cloud & Infrastructure (Azure, AWS, Kubernetes, Docker, Data Lake, Secure Data Sharing)
- ITSM & Process Optimization (JIRA, Confluence, DCON IT-SPS, iET)
Thanks to my analytical mindset, communication skills, and ability to make complex topics accessible, I am regarded as a reliable partner for both business units and management. My goal is always to combine technical excellence with business value and to deliver innovative data solutions that drive sustainable impact.
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Project Description:
- Developed multiple interfaces for data integration and processing
- Applied advanced algorithms for classification, forecasting, and data cleansing
- Built a central dashboard for monitoring data sources, threats, and vulnerabilities
- Created a data-driven analytics pipeline with contextual SQL queries and AI-assisted decision integration
- Optimized Large Language Models (LLMs) using prompt engineering
- Developed custom prompts for complex analysis such as ISO 27001 risk analysis including threat modeling and control planning
- Designed workflows for generating reports and validated recommendations
- Trained LLMs like LLaMA 3 to efficiently generate and optimize SQL queries
- Developed APIs and microservices for data-intensive applications with FastAPI and Python
- Wrote and optimized SQL queries in Snowflake to analyze large-scale datasets
- Used Snowpipe to automate data loading from external sources
- Created views and materialized views for reporting in BI tools like Power BI
- Enabled Secure Data Sharing to distribute selected datasets across teams safely
- Developed data transformation pipelines using PySpark in Databricks Notebooks
- Cleaned and structured raw data from data lakes for business analysis
- Integrated Delta Lake for reliable, versioned, and incremental data processing
- Prepared aggregated datasets and KPIs for dashboard consumption
- Scheduled automated jobs using the Databricks Job Scheduler to support daily reporting
Tools: Microsoft Graph API, Azure Python SDK, Postman, Python, Pandas, Numpy, FastAPI, React JS, Docker, Kubernetes, MySQL, PostgreSQL, Azure SQL Database, Jupyter Notebooks, Azure Data Factory, OpenAI API, LangChain, VS Code, MLFlow, Weights & Biases, JSON, YAML, LLaMA 3, PyTorch, Hugging Face Transformers, Apache, Snowflake, Airflow, Databricks
- Erstellung von Ad-hoc-Analysen, Berichten und Dashboards zur Unterstützung verschiedener Fachbereiche
- Durchführung von Datenanalysen als Kontrolle und Sicherstellung korrekter Abrechnungsprozesse zur Vermeidung von Fehlern und inkorrekten Bepreisungen der CDRs
- Begleitung und Abnahme bei der Weiterentwicklung und Verbesserung von Billing-Prozessen.
- Hauptverantwortlicher für alle Tableau BI Themen für EMEA
- Erstellung von Dashboards mit
- Parametern, mathematischen und logischen Berechnungen sowie Hierarchien
- Erstellen von LOD-Ausdrücken
- Bratung der Business Units bei der Tableau Einführung und Umsetzung
- Entwicklung von komplexen Datenmodellen und Verarbeitungsprozessen
- Aufbereitung und Automatisierung von ETL Strecken mit Taubleau Prep/Flows (Prep Conductor)
- Identifizierung, Analyse und Anbindung neuer Datenquellen sowie die Beurteilung der Datenqualität
- Erstellung von Tableau Dashboard
- Excel/CSV in Kombination mit Tableau Prep (Datenaufbereitung)
- SAP Hana View
- MS SQL Server
- Flat-Files (Excel)
- Optimierung der Dashboards, Latenzzeiten
- Migration von Tableau Server OnPrem auf Tableau Server Online in Kombination mit der Tableau Bridge für OnPrem Datenquellen
- Implementierung eines Berechtigungskonzept für Tableau Gruppen, Benutzer, Projektordner, Data Sourcen, Site
- Verwaltung des Tableau Server als System Administrator
- Lösungen mit der Tableau REST API entwickelt
- Abstimmung mit dem Hersteller Salesforce/Tableau bezüglich Lizenzen für einen globalen Lizenzvertrag
- Unterstützung bei der Einführung von Tableau Mobile App über VPN
Zertifikate
ITILv4 Foundation
ITILv4 Foundation2020
SCRUM Foundation
TÜV Süd2019
exali Berufshaftpflicht-Siegel
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Versichert bis: 01.01.2026