Senior Data Professional with years of experience building end-to-end data products and data platforms with a focus on industrial processes
Aktualisiert am 13.10.2025
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 13.10.2025
Verfügbar zu: 100%
davon vor Ort: 100%
Databricks
Data Engineer
Künstliche Intelligenz
Data Scientist
AWS
Azure
Python
Azure Devops
MS Power BI
Predictive Maintenance
Anomalieerkennung
Streamlit
Platform Engineering
Snowflake
Software Engineering
Docker
CI/CD
Apache Spark
SQL
Apache Airflow

Einsatzorte

Einsatzorte

Nürnberg (+50km) München (+50km) Frankfurt (+50km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2 Jahre 7 Monate
2023-03 - 2025-09

AI for plastics manufacturing

Senior Data Scientist | Data Platform Engineer Python scikit-learn PyTorch ...
Senior Data Scientist | Data Platform Engineer
  • Designed and developed a company-wide cloud-based data platform based on AWS Databricks for centralized management of machine data, ETL/ELT pipelines and MLOps pipelines
  • Designed and developed an analytics application that displays and labels sensor data for both internal external users
  • Led the development of the machine anomaly detection software product
  • Analyzed machine data for industrial clients and developed ML models to predict part quality issues, detect anomalies and reduce cycle time by up to 50 %
  • Served as technical consultant during pre-sales activities and client presentations
Databricks Azure Devops AWS Docker Visual Studio
Python scikit-learn PyTorch Streamlit RabbitMQ
sensXPERT / Netzsch Process Intelligence GmbH
München / Selb
1 Jahr 8 Monate
2021-07 - 2023-02

On-premise database migration to Snowflake Data Warehouse | AI for logistics

Data Engineer | Data Scientist SQL Python scikit-learn ...
Data Engineer | Data Scientist
  • Migrated a legacy on-premise database to Snowflake cloud data warehouse, achieving multi-fold improvements in data access performance
  • Developed multiple ETL pipelines, designed data marts and implemented alerting systems for the customer service logistics
  • Developed multiple PowerBI dashboards to support data-driven decision making
  • Analyzed logistics data and developed machine learning models to predict procurement and delivery times for spare parts shipments, improving supply chain planning efficiency
  • Conducted workshops with SMEs to identify data-driven use cases
Snowflake MS Power BI Databricks Teradata Azure Devops
SQL Python scikit-learn Docker pandas
Siemens Healthineers AG
Erlangen
2 Jahre 2 Monate
2019-05 - 2021-06

Predictive Maintenance and Process Optimization for pharmaceutical packaging machines

Data Scientist Industry 4.0 Computer Vision TensorFlow Python ...
Data Scientist Industry 4.0
  • Established data science capabilities as first Data Scientist at the location and developed strategic roadmap for implementing data-driven products
  • Analyzed production data from complex pharmaceutical industry filling systems 
  • Developed machine learning models for early detection of machine component failures/wear and for process optimization
  • Conducted internal trainings for process experts and presented data analysis results and product concepts to international clients
Apache Airflow MS SQL Server NVIDIA Jetson
Computer Vision TensorFlow Python Jupyter Notebook scikit-learn
Syntegon Technology GmbH (formerly Bosch Packaging Technology Gmbh)
Crailsheim

Aus- und Weiterbildung

Aus- und Weiterbildung

2016 - 2019

Friedrich-Alexander-Universität Erlangen-Nürnberg

Industrial Engineering and Management (M. Sc.)

Focus on software and industrial automation

Master Thesis Topic: "on request" in cooperation with Bosch Packaging Technology GmbH


2013 - 2016

Friedrich-Alexander-Universität Erlangen-Nürnberg

Industrial Engineering and Management (B. Sc.)

Focus on mechanical engineering

Bachelor Thesis Topic: ? on request ?

Kompetenzen

Kompetenzen

Top-Skills

Databricks Data Engineer Künstliche Intelligenz Data Scientist AWS Azure Python Azure Devops MS Power BI Predictive Maintenance Anomalieerkennung Streamlit Platform Engineering Snowflake Software Engineering Docker CI/CD Apache Spark SQL Apache Airflow

Produkte / Standards / Erfahrungen / Methoden

PROFESSIONAL SUMMARY

Senior Data Professional with 6+ years of experience architecting enterprise data platforms and building end-to-end ML solutions with a focus on industrial processes. Proven track record migrating legacy systems to modern cloud infrastructures using AWS, Azure, Databricks and Snowflake, delivering significant performance improvements. Combines deep technical expertise in data engineering and machine learning with business acumen gained through client-facing roles. Takes a pragmatic approach to technology selection and excels at translating technical solutions for diverse stakeholders


SKILLS

  • Cloud & Data Platforms: Databricks, Snowflake, AWS, Azure
  • Data Engineering: Apache Spark (PySpark), Apache Airflow
  • ML & Analytics: scikit-learn, TensorFlow, (Py)Torch, Mlflow, pandas, polars, NumPy, SciPy
  • Data Visualization: PowerBI, streamlit, matplotlib, seaborn, plotly
  • Development & Deployment: Azure DevOps, Docker

Programmiersprachen

Python
SQL
Java
C++

Einsatzorte

Einsatzorte

Nürnberg (+50km) München (+50km) Frankfurt (+50km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2 Jahre 7 Monate
2023-03 - 2025-09

AI for plastics manufacturing

Senior Data Scientist | Data Platform Engineer Python scikit-learn PyTorch ...
Senior Data Scientist | Data Platform Engineer
  • Designed and developed a company-wide cloud-based data platform based on AWS Databricks for centralized management of machine data, ETL/ELT pipelines and MLOps pipelines
  • Designed and developed an analytics application that displays and labels sensor data for both internal external users
  • Led the development of the machine anomaly detection software product
  • Analyzed machine data for industrial clients and developed ML models to predict part quality issues, detect anomalies and reduce cycle time by up to 50 %
  • Served as technical consultant during pre-sales activities and client presentations
Databricks Azure Devops AWS Docker Visual Studio
Python scikit-learn PyTorch Streamlit RabbitMQ
sensXPERT / Netzsch Process Intelligence GmbH
München / Selb
1 Jahr 8 Monate
2021-07 - 2023-02

On-premise database migration to Snowflake Data Warehouse | AI for logistics

Data Engineer | Data Scientist SQL Python scikit-learn ...
Data Engineer | Data Scientist
  • Migrated a legacy on-premise database to Snowflake cloud data warehouse, achieving multi-fold improvements in data access performance
  • Developed multiple ETL pipelines, designed data marts and implemented alerting systems for the customer service logistics
  • Developed multiple PowerBI dashboards to support data-driven decision making
  • Analyzed logistics data and developed machine learning models to predict procurement and delivery times for spare parts shipments, improving supply chain planning efficiency
  • Conducted workshops with SMEs to identify data-driven use cases
Snowflake MS Power BI Databricks Teradata Azure Devops
SQL Python scikit-learn Docker pandas
Siemens Healthineers AG
Erlangen
2 Jahre 2 Monate
2019-05 - 2021-06

Predictive Maintenance and Process Optimization for pharmaceutical packaging machines

Data Scientist Industry 4.0 Computer Vision TensorFlow Python ...
Data Scientist Industry 4.0
  • Established data science capabilities as first Data Scientist at the location and developed strategic roadmap for implementing data-driven products
  • Analyzed production data from complex pharmaceutical industry filling systems 
  • Developed machine learning models for early detection of machine component failures/wear and for process optimization
  • Conducted internal trainings for process experts and presented data analysis results and product concepts to international clients
Apache Airflow MS SQL Server NVIDIA Jetson
Computer Vision TensorFlow Python Jupyter Notebook scikit-learn
Syntegon Technology GmbH (formerly Bosch Packaging Technology Gmbh)
Crailsheim

Aus- und Weiterbildung

Aus- und Weiterbildung

2016 - 2019

Friedrich-Alexander-Universität Erlangen-Nürnberg

Industrial Engineering and Management (M. Sc.)

Focus on software and industrial automation

Master Thesis Topic: "on request" in cooperation with Bosch Packaging Technology GmbH


2013 - 2016

Friedrich-Alexander-Universität Erlangen-Nürnberg

Industrial Engineering and Management (B. Sc.)

Focus on mechanical engineering

Bachelor Thesis Topic: ? on request ?

Kompetenzen

Kompetenzen

Top-Skills

Databricks Data Engineer Künstliche Intelligenz Data Scientist AWS Azure Python Azure Devops MS Power BI Predictive Maintenance Anomalieerkennung Streamlit Platform Engineering Snowflake Software Engineering Docker CI/CD Apache Spark SQL Apache Airflow

Produkte / Standards / Erfahrungen / Methoden

PROFESSIONAL SUMMARY

Senior Data Professional with 6+ years of experience architecting enterprise data platforms and building end-to-end ML solutions with a focus on industrial processes. Proven track record migrating legacy systems to modern cloud infrastructures using AWS, Azure, Databricks and Snowflake, delivering significant performance improvements. Combines deep technical expertise in data engineering and machine learning with business acumen gained through client-facing roles. Takes a pragmatic approach to technology selection and excels at translating technical solutions for diverse stakeholders


SKILLS

  • Cloud & Data Platforms: Databricks, Snowflake, AWS, Azure
  • Data Engineering: Apache Spark (PySpark), Apache Airflow
  • ML & Analytics: scikit-learn, TensorFlow, (Py)Torch, Mlflow, pandas, polars, NumPy, SciPy
  • Data Visualization: PowerBI, streamlit, matplotlib, seaborn, plotly
  • Development & Deployment: Azure DevOps, Docker

Programmiersprachen

Python
SQL
Java
C++

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