25.11.2025 aktualisiert

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20 % verfügbar

Senior Cloud Data Engineer | Azure Databricks Certified | Python | PySpark | PowerBI

Hamburg, Deutschland
Deutschland +2
Master of Science Wirtschaftsinformatik
Hamburg, Deutschland
Deutschland +2
Master of Science Wirtschaftsinformatik

Profilanlagen

Martin Debus - CV EN.pdf

Skills

PERSONAL PROFILE
  • Experienced Senior Data Engineer and Senior Data Scientist with focus on Azure and Databricks.
  • Experienced in leading data teams and the creation of data products.
  • Industry knowledge in retail, e-commerce, media- and publishing business and financial industry.
  • Domain expertise in category management, marketing automation, CRM and loyalty programs.
  • Master of Science in computer science and business.
TECHNOLOGY-SKILLS
  • (Azure) Databricks
  • Databricks Unity Catalog
  • Databricks Delta Live Tables
  • Python
  • PySpark
  • SQL
  • Large Language Models in Databricks
  • OpenAI API
  • Azure Data Lake Storage
  • Azure Key Vault
  • Azure Cognitive Services
  • Git / GitHub
  • Azure DevOps
  • Jira
  • Confluence
  • Power BI
  • Tableau
  • Google BigQuery
  • Terraform
  • Shell Scripting

Sprachen

DeutschMutterspracheEnglischverhandlungssicher

Projekthistorie

Building a Enterprise Data Lakehouse and Migrating Data from Legacy Systems

Banken und Finanzdienstleistungen

1000-5000 Mitarbeiter

  • Design and Implementation of metadata driven Data Lakehouse Framework in Azure Databricks
  • Ingesting new Data into the Lakehouse
  • Migration of Data from current Data Warehouse

POC FOR AZURE DATABRICKS AS AI & DATA PLATFORM

Versicherungen

1000-5000 Mitarbeiter

  • Architecturing of a Databricks Platform in Azure to process Data from SAP and serve R-Shiny-Apps
  • Design and Implementation of Unity Catalog
  • Desing and Implementation of ETL Pipelines
  • Coaching and enabling a Team of Data Scientists in using Databricks for ETL, Analytics and AI Use Cases
  • Implementing serveral Use Cases as POC on the Platform
  • Implementation of LLM endpoints in Databricks

IMPLEMENTATION OF A DATA PLATFORM FOR REINSUREANCE

Versicherungen

1000-5000 Mitarbeiter

Tasks:
  • Design and implementation of data pipelines in Databricks
  • Design of a Self-Service Analytics Platform for several business units
  • Translation of business requirements into technical specifications
  • Implementation in PySpark/Python
  • Orchestration with R-Studio Users and maintaining Interfaces with R-Studio
Tech-Stack used: 
  • Azure Databricks
  • Databricks Unity Catalog
  • Azure Storage
  • Azure KeyVault
  • Azure DevOps
  • Terraform
  • R-Studio

Zertifikate

Databricks Certified Data Engineer Associate

Databricks

2024

Azure AI Fundamentals

Microsoft

2023

Azure Data Fundamentals

Microsoft

2023

Azure Fundamentals

Microsoft

2022


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