Data & AI Engineering focused on building scalable data solutions, analytics, and AI applications for business impact.
Aktualisiert am 26.05.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 15.06.2026
Verfügbar zu: 90%
davon vor Ort: 15%
Data Engineer
Databricks
Machine Learning
Data Analyst
Datenarchitektur
MS Power BI
Python
SQL
Italian
C2 (NaIve Language)
German
C1 (Test DaF)
English
C1 (TELC)
Spanish
B1

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2025 - today: Developement secure Databricks dashboards


Role: Data & AI Engineer, Data & AI Infrastructure Engineer

Customer: Relias Learning GmbH


Tasks:

  • Built and op,mized Azure Databricks data pipelines with Unity Catalog, incremental loading, preprocessing, and governed data access across mul,ple business data sources.
  • Developed secure Databricks dashboards with group access controls, sharing capabili,es, and tailored views for opera,onal teams, management, and the board.
  • Created business analyses to iden,fy process improvements, support strategic decisions, and translate complex data into clear recommenda,ons for stakeholders and senior leadership.
  • Built and tested AI/ML solu,ons, including predic,on models, LLM-based agents, and RAG systems used internally for knowledge access and externally in customer and product scenarios.


Skills:

Azure Databricks, Unity Catalog, SQL, PySpark, Delta Lake, Databricks One, Machine Learning, LLMs, RAG, AI Agents

2023 - 2025: Data & ML- Solutions for Pharmaceutical Process Optmization


Role: Data & ML Engineer, OperaLonal Excellence

Customer: Berlin Chemie AG


Tasks:

  • Led and delivered data and machine learning projects to op,mize pharmaceutical production processes, covering the full lifecycle from requirements gathering to production deployment
  • Designed and implemented robust ETL/ELT pipelines for integra,ng and cleansing heterogeneous laboratory, manufacturing, and quality data
  • Developed ML- models for anomaly detection and ,me series forecas,ng and applied natural language processing (NLP) techniques to analyze quality reports.
  • Built interac,ve KPI-Dashboards for real-,me process monitoring, in close collabora,on with produc,on, quality assurance, and management teams


Skills:

Python (pandas, NumPy), Data Visualiza,on (Matplotlib, Seaborn), Machine Learning & Deep Learning (scikit-learn, TensorFlow, PyTorch, Keras)

2021 ? 2023: Master Data Management


Role: Data Analyst

Customer: Menarini GmbH


Tasks:

  • Developed and implemented macros for automated data input into IBM databases.
  • Achieved near-complete process automa,on, faster data processing, and a significant reduc,on in manual entry errors

Aus- und Weiterbildung

Aus- und Weiterbildung

2022 - 2025

Data Science

M.Sc.

Humboldt Universität, Berlin


Key Focus:

  • Master?s thesis: on request
  • Relevant coursework: Business Analy,cs & Data Science, Deep Learning for NLP, So[ware Engineering, Database Implementa,on
  • Taught in English & German


2018 - 2022

Business Administration

B.Sc.

Humboldt Universität, Berlin


Key Focus:

  • Bachelor?s thesis: on request
  • Taught in German


2016 - 2018

Completed language school from A1 to C1 with a TestDaF score of 18/20

German Language School, Berlin

Position

Position

Data & ML Engineer

Kompetenzen

Kompetenzen

Top-Skills

Data Engineer Databricks Machine Learning Data Analyst Datenarchitektur MS Power BI Python SQL

Produkte / Standards / Erfahrungen / Methoden

EXPERTISE
  • Data Engineering
  • Cloud Infrastructure
  • AnalyIcs Engineering & BI
  • Machine Learning & MLOps
  • GeneraIve AI & LLM


TOOLS & PLATFORMS

  • GitHub
  • Azure Databricks
  • Azure Data Factory


SOFT SKILLS

  • Strategic Thinking
  • Technical Leadership
  • Business Impact
  • Cross-funcIonal CollaboraIon

Programmiersprachen

Python
SQL
PySpark/SparkSQL

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

2025 - today: Developement secure Databricks dashboards


Role: Data & AI Engineer, Data & AI Infrastructure Engineer

Customer: Relias Learning GmbH


Tasks:

  • Built and op,mized Azure Databricks data pipelines with Unity Catalog, incremental loading, preprocessing, and governed data access across mul,ple business data sources.
  • Developed secure Databricks dashboards with group access controls, sharing capabili,es, and tailored views for opera,onal teams, management, and the board.
  • Created business analyses to iden,fy process improvements, support strategic decisions, and translate complex data into clear recommenda,ons for stakeholders and senior leadership.
  • Built and tested AI/ML solu,ons, including predic,on models, LLM-based agents, and RAG systems used internally for knowledge access and externally in customer and product scenarios.


Skills:

Azure Databricks, Unity Catalog, SQL, PySpark, Delta Lake, Databricks One, Machine Learning, LLMs, RAG, AI Agents

2023 - 2025: Data & ML- Solutions for Pharmaceutical Process Optmization


Role: Data & ML Engineer, OperaLonal Excellence

Customer: Berlin Chemie AG


Tasks:

  • Led and delivered data and machine learning projects to op,mize pharmaceutical production processes, covering the full lifecycle from requirements gathering to production deployment
  • Designed and implemented robust ETL/ELT pipelines for integra,ng and cleansing heterogeneous laboratory, manufacturing, and quality data
  • Developed ML- models for anomaly detection and ,me series forecas,ng and applied natural language processing (NLP) techniques to analyze quality reports.
  • Built interac,ve KPI-Dashboards for real-,me process monitoring, in close collabora,on with produc,on, quality assurance, and management teams


Skills:

Python (pandas, NumPy), Data Visualiza,on (Matplotlib, Seaborn), Machine Learning & Deep Learning (scikit-learn, TensorFlow, PyTorch, Keras)

2021 ? 2023: Master Data Management


Role: Data Analyst

Customer: Menarini GmbH


Tasks:

  • Developed and implemented macros for automated data input into IBM databases.
  • Achieved near-complete process automa,on, faster data processing, and a significant reduc,on in manual entry errors

Aus- und Weiterbildung

Aus- und Weiterbildung

2022 - 2025

Data Science

M.Sc.

Humboldt Universität, Berlin


Key Focus:

  • Master?s thesis: on request
  • Relevant coursework: Business Analy,cs & Data Science, Deep Learning for NLP, So[ware Engineering, Database Implementa,on
  • Taught in English & German


2018 - 2022

Business Administration

B.Sc.

Humboldt Universität, Berlin


Key Focus:

  • Bachelor?s thesis: on request
  • Taught in German


2016 - 2018

Completed language school from A1 to C1 with a TestDaF score of 18/20

German Language School, Berlin

Position

Position

Data & ML Engineer

Kompetenzen

Kompetenzen

Top-Skills

Data Engineer Databricks Machine Learning Data Analyst Datenarchitektur MS Power BI Python SQL

Produkte / Standards / Erfahrungen / Methoden

EXPERTISE
  • Data Engineering
  • Cloud Infrastructure
  • AnalyIcs Engineering & BI
  • Machine Learning & MLOps
  • GeneraIve AI & LLM


TOOLS & PLATFORMS

  • GitHub
  • Azure Databricks
  • Azure Data Factory


SOFT SKILLS

  • Strategic Thinking
  • Technical Leadership
  • Business Impact
  • Cross-funcIonal CollaboraIon

Programmiersprachen

Python
SQL
PySpark/SparkSQL

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