Profile

As a Data Engineer and AI Engineer, I build data and AI solutions that improve operations, decisions, and growth. With experience across industries (finance, telecoms, e-commerce, healthcare), I apply best practices and create reliable and scalable systems. My medical background adds expertise in regulated and compliance-sensitive environments.

Key Strengths

Data Engineering & AI Engineering Expertise

• With extensive experience across multiple projects, I have leveraged Amazon Web Services (AWS) and Google Cloud Platform (GCP) to design and implement scalable data architectures and ETL/ELT pipelines. 
• At a large German bank, I designed and implemented data solutions for real-time processing of financial transactions. At the large medical provider Charité, I built end-to-end pipelines in BigQuery for processing public hospital data and integrated them into machine learning workflows for disease prediction. 
• At an international appliance company, I developed and optimized data pipelines to process and integrate device and app usage data, enabling comprehensive analysis and the creation of impactful Looker Studio dashboards that guided product development strategies.
• Additionally, I streamlined legal document workflows at a class lawsuits firm by developing text recognition (OCR) pipelines and automating data extraction processes using natural language processing (NLP).

Solutions that impact business

• I excel at bridging the gap between business objectives and technical solutions, translating organizational needs into actionable data strategies. 
• By fostering clear communication between stakeholders and technical teams, I ensure data initiatives are aligned with strategic priorities and deliver measurable outcomes. 
• My skill in presenting complex technical ideas in a clear and approachable way promotes collaboration and supports informed decision-making. 
• Additionally, I have extensive experience working with SCRUM and agile methodologies across various projects.

Broad Project Experience

• With extensive experience in the data environment and collaborating with clients across diverse industries, I specialize in delivering customized data solutions that drive value and impact. 
• I bring versatility to my work, seamlessly transitioning between roles such as data engineer, AI engineer, data scientist, medical advisor and data product manager. 
• This adaptability enables me to approach projects comprehensively, guiding them from initial concept to successful execution.

Key Skills

Technical:

• Google Cloud Platform
• BigQuery
• AWS
• Redshift
• SQL
• Python
• dbt
• Apache Airflow
• Terraform
• Snowflake
• Looker Studio
• Jupyter Notebook
• relational databases (PostgreSQL, MySQL)
• Git
• Microsoft Azure
• Tableau
• REST APIs
• Databricks
• Google Analytics
• Fivetran
• Kafka
• Spark
• Generative AI
• LLM
• Claude Code
• ChatGPT
• n8n
• Machine Learning
• Tensorflow
• Pytorch
• Sklearn
• Data Engineering
• Data Modeling
• Data Architecture
• Cloud Data Platform
• Modern Data Stack
• Business Intelligence
• Reporting
• Data Visualization
• Dashboard Development
• ETL/ELT
• Data Quality Management
• Stakeholder Management
• Data Warehouses
• Data Lakes
• Data Strategy
• Data Mesh

Data Engineering, AI Engineering

• SQL
• Python
• dbt
• GCP
• BigQuery
• Snowflake
• Looker Studio
• Fivetran
• Git
• AWS
• Azure
• Kafka
• Tableau
• relational databases
• Postgres
• data modeling
• data engineering
• analytics engineering
• data quality
• data architecture
• cloud data platforms
• modern data stack
• data strategy
• ETL/ELT
• data integration
• data warehouses
• data lakes
• Tensorflow
• Pytorch,
• GenAI
• LLM
• Claude Code
• Pinecone
• RAG

Tools & Methods

• Jira
• Confluence
• Miro
• Notion
• Figma
• Framer
• SCRUM
• PMI Certified Associate in Project Management, Design Thinking, Data Storytelling

Work Experience

01/2019 ? today

Place of Work: Berlin/remote

Role: Data & AI Engineer | Consultant

Tasks:

• Designed and implemented data engineering and machine learning solutions, using cloud-based data platforms
• Advised clients on various strategic and technical data topics

01/2020 ? 02/2026

Place of Work: Berlin

Role: Data Engineer and AI Engineer

Customer: Charité ? University Medicine Berlin

Tasks:

• Led the project of data pipelines and the development of disease prediction models
• Designed and implemented scalable ETL pipelines to harmonize data from 300+ sources
• Developed and optimized machine learning algorithms for real-time anomaly detection

04/2025 ? 09/2025

Place of Work: Berlin

Role: Data Engineer | Solutions Architect

Customer: Large German Bank

Tasks:

• Designed and built cloud-native data pipelines on AWS for real-time processing of financial transactions
• Developed high-performance ETL workflows and optimized warehouse queries for analytics and ML
• Implemented monitoring and data quality controls for reliability and compliance in production systems

10/2024 ? 04/2025

Place of Work: Berlin

Role: Data Engineer

Customer: International Telecoms Company

Tasks:

Engineered data pipelines for a mobile app that monitors team performance, transforming Snowflake data into optimized KPI tables in PostgreSQL. Collaborated with designers and backend teams.

11/2017 ? 03/2018

Place of Work: Berlin

Role: Performance Data Analyst

Customer: Minodes ? Telefónica NEXT

Tasks:

Executed paid advertising campaigns across platforms such as Google Ads, Meta Ads (Facebook/Instagram), and LinkedIn and subsequent data analysis