26.06.2026 aktualisiert

**** ******** ****
Premiumkunde
20 % teilweise verfügbar

Senior Cloud Data Engineer | Databricks MVP | Azure Databricks

Hamburg, Deutschland
Deutschland +2
info: Deutschland, Österreich, Schweiz
Master of Science Wirtschaftsinformatik
Hamburg, Deutschland
Deutschland +2
info: Deutschland, Österreich, Schweiz
Master of Science Wirtschaftsinformatik

Profilanlagen

Martin Debus - CV EN.pdf

Skills

AI AgentsAzure SQLApache SparkData LakePySparkGoogle BigqueryTerraformDatabricks
PERSONAL PROFILE
  1. Experienced Senior Data Engineer and Senior Data Scientist with focus on Azure and Databricks.
  2. Experienced in leading data teams and the creation of data products.
  3. Industry knowledge in retail, e-commerce, media- and publishing business and financial industry.
  4. Domain expertise in category management, marketing automation, CRM and loyalty programs.
  5. Master of Science in computer science and business.
TECHNOLOGY-SKILLS
  1. (Azure) Databricks
  2. Databricks Unity Catalog
  3. Spark Declarative Pipeline
  4. Databricks Declarative Automation Bundles
  5. Python
  6. PySpark
  7. SQL
  8. Large Language Models in Databricks
  9. Claude Code
  10. Copilot
  11. OpenAI API
  12. Azure Data Lake Storage
  13. Azure Key Vault
  14. Azure Cognitive Services
  15. Git / GitHub
  16. Azure DevOps
  17. Jira
  18. Confluence
  19. Power BI
  20. Tableau
  21. Google BigQuery
  22. Terraform
  23. Shell Scripting

Erfahrung

Berufserfahrungmehr als 10 Jahre
Freelancer seit2022

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

IMPLEMENTATION OF A CUSTOMER ANALYTICS PLATFORM IN B2B-RETAIL

B2B Grosshandel / Automotive

Konsumgüter und Handel

250-500 Mitarbeiter

Implementation of a data platform based on Azure Databricks for customer analytics. Design and Implementation of data architecture and processes. Establish connections to new data sources (SQL-Server, Salesforce, Google BigQuery). Implementation of complex data transformations with Databricks Delta Live Tables.
Assistance and coaching a data scientist to efficiently use the data platform. Implemenation of customer value and customer potential segmenations.

Tech-Stack:
  • Azure Databricks
  • Delta Live Tables
  • KeyVault
  • Data Lake Storage
  • Jira
  • Confluence
  • Salesforce

MINIMAL VIABLE PRODUCT (MVP) FOR A CLOUD DATA PLATFORM

B2B Baumaschinenhandel

Architektur und Bauwesen

50-250 Mitarbeiter

Design and implementation of a cloud data platform based on Azure Databricks. Established connections to data sources (Navisision, Google BigQuery, APIs) and build data transformations.
Implementation of first use cases in direct marketing and customer segmentation.

Tech-Stack:
  • Azure Databricks
  • Azure Data Lake Storage
  • Azure KeyVault
  • GitHub
  • Google BigQuery
  • Azure Data Factory
  • Monday.com

MIGRATING A DATA PLATFORM FROM ON-PREMISE TO MICROSOFT AZURE

EDEKA Zentrale Stiftung & Co. KG

Konsumgüter und Handel

>10.000 Mitarbeiter

Migration of marketing analytics from an on-premise Hadoop/SAS infrastructure to Azure. Establish best-practises and design of target architecture, data model and migration strategy. Code migration from SAS Base to PySpark in Azure Databricks.
Lead of overall project team consisting of data engineers and data scientists.

Tech-Stack:
  • Azure Databricks
  • Azure Data Lake Storage
  • KeyVault
  • GitHub

Zertifikate

Databricks MVP

Databricks

2026

Databricks Certified Data Engineer Associate

Databricks

2026

Azure AI Fundamentals

Microsoft

2023

Azure Data Fundamentals

Microsoft

2023

Azure Fundamentals

Microsoft

2022

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