30.09.2026 aktualisiert


Premiumkunde
100 % verfügbarSenior Business Intelligence Consultant
München, Deutschland
Nur Remote
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
JavaAPIsAgile MethodologieKünstliche IntelligenzAmazon Web ServicesAtlassian ConfluenceAtlassian JiraAutomatisierungMicrosoft AzureTelekommunikationBusiness IntelligenceProzessoptimierungCloud ComputingComputerprogrammierungDatenbereinigung
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.
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2018
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Tools: MS SQL Server, T-SQL, Microsoft Access (VBA), React, REST API, SSMS, Snowflake, Tableau
- Konzipierte und entwarf ein Datenbankschema in MSSQL auf Basis einer bestehenden Microsoft-Access-Lösung
- Implementierte Datenmodellierung und Normalisierung zur Sicherstellung von Datenkonsistenz und -integrität
- Entwickelte und optimierte Datenbankabfragen und Stored Procedures zur Steigerung der Verarbeitungseffizienz
- Stellte Datensicherheit und Compliance mit relevanten Regularien und Standards sicher
- Konzipierte die Datenbank erweiterbar für Anpassungen nach Projektabschluss und berücksichtigte Schnittstellen zur Automatisierung
- Band die MSSQL-Datenbank an Snowflake an und richtete Ladeprozesse für die Reporting-Daten ein
- Setzte das komplette Reporting der Lösung mit Tableau auf Basis von Snowflake um
- Modellierte die Daten in Snowflake und erstellte Views als Datenbasis für Tableau-Auswertungen und -Reports
- Behob Performance-Probleme und Fehler während der Projektphase
- Erstellte die Datenbankdokumentation
- Entwickelte eine Benutzeroberfläche zur Interaktion mit der Datenbank inkl. Filter-, Sortier- und Suchfunktionen sowie CRUD-Operationen
- Integrierte die UI mit der Datenbank mit Fokus auf nahtlosen Datenaustausch und minimale Latenz
- Implementierte Benutzer-Authentifizierung und -Autorisierung
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.
Zertifikate
ITILv4 Foundation
ITILv4 Foundation2020
SCRUM Foundation
TÜV Süd2019