Profile

With over 9 years of experience in data, ML, AI and leadership, I combine technical excellence with strategic thinking. I design and implement data platforms and AI systems, cloud architectures and data pipelines, and establish effective data governance approaches to create sustainable business value.

TECHNICAL COMPETENCES

Dev. Platform

Hortonworks Data Platform, Google Cloud, Platform, Amazon Web Services

File System

Hadoop Distributed File System, Google Buckets, AWSS3

Dev. Operations

Docker, Kubernetes, GitLab CI/CD, Terraform

Development tools

Visual Studio Code, PyCharm, Gitlab

ML Engineering

MLflow, Scikit-Learn, nltk nlp

Data Processing

Airflow, Pig, Sqoop

METHODICAL COMPETENCES

Business Administration

Accounting, Finance & Investment, Marketing & Sales, Controlling & Management

Business Processes

Objective Key Results, Business Process Management, Service-oriented Architecture

Agile Development

Scrum, Lean, Design Thinking

FORCES

• Motivated
• Passionate
• Perseverant
• Autonomous

PROFESSIONAL EXPERIENCE

01/2025 - Present

Role: Software Engineer

Customer: on request, Germany

Tasks:

Developing end-to-end data and Al solutions enabling SMEs and larger organizations to leverage modern Al, including LLMs, for smarter and more efficient decision-making: 

• Design and implementation of end-to-end data and Al solutions aligned with business and organizational objectives (Data Strategy, Data Governance, Cloud). 
• Development of production-grade LLM applications using Retrieval-Augmented Generation (RAG), integrating vector databases and relational data sources (OpenAl, VecDB, PostgreSQL). 
• Building, automating, and operating scalable data and ML pipelines as well as APIs to increase efficiency and reduce manual effort (FastAPI, Docker, MLOps). 
• Implementation of Infrastructure-as-Code and cloud-native architectures for reproducible, maintainable, and scalable deployments (Terraform, Azure, Containerization).

Skills:

Data Engineering, LLM Engineering, RAG, MLOps, Data Architecture, Data Governance, Cloud (Azure), Terraform, Docker, API, WebApp 

03/2021 - 07/2024

Role: Head of Data Engineering

Customer: RTL TECHNOLOGY GMBH, Germany 

Tasks:

Led RTL's data engineering strategy, enabling scalable analytics infrastructure and team capability growth:

• Ensured reliable and consistent data across teams by establishing governance frameworks (Data Strategy & Governance). 
• Partnered with product, marketing, and operations to design reporting pipelines aligned with strategic KPIs (Cross-functional Collaboration, KPI Design). 
• Introduced task schedulers and automation tooling to streamline manual workflows and reporting (Workflow Optimization, Automation). 
• Mentored and grew a diverse team of data engineers, promoting knowledge sharing and development (Leadership). 
• Spearheaded tooling innovation by introducing a Data Mesh architecture and InnerSource development model (Innovation, Modern Tooling).

Skills:

SQL, GCP, Airflow, Terraform, GitLab, Confluence, Data Mesh, Agile Leadership, Team Management 

11/2019 - 02/2021

Role: Data Engineer

Customer: RTL TECHNOLOGY GMBH, Germany 

Tasks:

Contributed to the development of automated data solutions and cloud migration:

• Built modular ETL pipelines and automated reporting systems for internal stakeholders (ETL, Report Automation). 
• Supported marketing and analytics teams by delivering on-demand SQL/BigQuery insights (SQL, Stakeholder Support). 
• Migrated large-scale data infrastructure to Google Cloud, improving scalability and maintainability (Cloud Platforms, Scalability). 
• Integrated ML solutions into backend systems for enriched customer and campaign analytics (Analytics & ML Integration).

Skills:

SQL, Python, Airflow, BigQuery, GCP, Cloud Composer, Linux, CI/CD

12/2016 - 10/2019

Role: IT Consultant Data Analytics

Customer: ACT GRUPPE, Germany

Tasks:

Delivered end-to-end analytics and data engineering projects for public and private clients:

• Developed rule-based NLP solutions and automated crawlers to transform unstructured data into structured formats (Data Transformation, Automation). 
• Built internal tools and APIs for data enrichment and visualization of complex metrics (Tooling & Innovation). 
• Designed and maintained ETL pipelines and trained analysts on Hadoop systems (ETL, Team Enablement). 
• Presented insights and architecture proposals to stakeholders, aligning technical output with business needs (Business Communication).

Skills:

SQL, Python, MongoDB, Scrapy, Hadoop, Hive, REST APIS, Data Visualization, Gephi