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Experience
Cloud data, AI/ML, consulting, and analytics primarily in Germany.
Data Engineer Consultant
Eraneos Analytics GmbHLeading enterprise customer work for cloud data, AI, and ML solutions aligned with business goals and production constraints.
Lead Data Engineer Consultant
2025 - Present
Senior Data Engineer Consultant
2023 - 2024
Data Engineer Consultant
2022
Responsibilities
- Led technical teams building scalable AI and data pipelines for enterprise customers.
- Designed and delivered cloud-native analytics, LLM evaluation, migration, and insights platforms.
- Translated complex customer requirements into modular production systems across GCP and hybrid environments.
- Built event-driven architectures using Pub/Sub, Cloud Run, Cloud Spanner, Vertex AI, and Python.
- Advised stakeholders on GenAI adoption, platform architecture, delivery practices, and quality controls.
Technologies
- GCP
- Python
- Docker
- Cloud Run
- Cloud Build
- Pub/Sub
- Vertex AI
- Cloud Spanner
- PostgreSQL
Fullstack Data Engineer
Zeppelin Lab GmbHBuilt ETL, streaming, and monitoring systems for construction-sector data products and user-visible services.
Responsibilities
- Created ETL pipelines for BI and ML use cases.
- Developed a stream-based monitoring service integrated with Twilio for onsite customer alerts.
- Built APIs for collecting time-sensitive data from multiple sources under strict querying limits.
- Managed communication between developers, product owners, and clients so expectations matched delivered software.
Technologies
- Airflow
- ArgoCD
- AWS
- CircleCI
- Docker
- Git
- Kafka
- Kubernetes
- Postgres
- Python
- Terraform
- Twilio
Fullstack Data Specialist
enpact GmbHDeveloped analytical pipelines from web-scraped, API, form, and table data for dashboards, KPI insights, and public-facing analysis.
Improved indicator quality for the Startup Friendliness Index by identifying each indicator's core message, locating alternative measures, and automating data extraction.
Responsibilities
- Web scraping and API access of key data points.
- Automated data collection and reduced manual workloads.
- Consulted on improving data quality.
- Deployed an SQL database for the interactive website.
Technologies
- Python
- pandas
- Beautiful Soup
- requests
- SQLAlchemy
- Selenium
- PostgreSQL
- GitLab
- Excel
2016 - 2020
Wurzburg and Magdeburg, Germany
Research Associate
University Clinics Wurzburg and Magdeburg
Managed lab workflows for neural spiking data collection and analysis while building software for clinicians, students, and long-term research data storage.
Responsibilities
- Programmed software and hardware to enable neural data collection and statistical analysis.
- Planned and conducted electrophysiological experiments.
- Cleaned, analyzed, and visualized research data.
- Designed GUI-driven software with error detection for non-technical users.
- Performed inferential statistics and explored generalized linear mixed models, principal component analysis, and classification learning.
- Managed projects and maintained collaborations with other research groups.
Technologies
- Matlab
- Python
- SciPy
- R
- GitLab
- LabView
- RPvdsEx
- Excel
- PowerPoint
- LaTeX
Specialized methods
- Time-series and frequency analysis
- Wavelet analysis
- Poisson-based event detection
- Peak detection
- Multivariate feature extraction
- Nonlinear regression modelling and curve fitting
2011 - 2012
Hamilton, Canada
Production Engineer
National Steel CarDesigned production tooling and supported process improvements across railcar manufacturing lines.
Created jigs, stands, tables, and tooling in SolidEdge; performed calculations for solid mechanics, welds, and cost effectiveness; managed production line layouts in AutoCAD; and coordinated cross-department troubleshooting and process implementation.
Technologies
- SolidEdge
- AutoCAD
- Excel
- Word
- PowerPoint