Marco Lindner-Senior IT Consultant | Cloud Data Engineer | Infrastructure Architect
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Experience
Senior IT Consultant | Cloud Data Engineer | Infrastructure Architect
Hannover Rück SE
Built an enterprise data lakehouse platform on Azure Databricks
Developed production data pipelines and governance structures
Implemented private cloud infrastructures using Terraform
Introduced modern CI/CD standards in Azure DevOps
Implemented secure IAM and governance concepts
Developed scalable PySpark and Delta Lake frameworks
Supported self-service analytics and data product approaches
Provided architecture and platform consulting for enterprise data initiatives
Built a central DataHub architecture for insurance data
Integrated multiple subsystems into a lakehouse platform
Introduced data governance and data lineage
Supported modern analytics and reporting standards
Optimized data delivery for business and analytics teams
Cloud Data Engineer | Machine Learning Engineer | DevOps Engineer
e:fs TechHub GmbH / Deutsches Zentrum für Luft- und Raumfahrt (DLR)
Built a scalable MLOps and data platform
Developed automated ML pipelines
Coordinated projects between research and industry
Deployed ML models in Kubernetes environments
Supported modern cloud-native development standards
Implemented scalable infrastructure and deployment processes
Developed a cloud-native data management platform
Built scalable Kubernetes architectures
Developed Java microservices
Introduced centralized IAM and monitoring structures
Supported automated platform processes and operational standards
Deputy IT Manager | IT Service Management | Digitization
Hopfenveredlung St. Johann GmbH
Developed strategic target architectures
Developed IT roadmaps
Managed security and risk
Led hybrid cloud transformation
Implemented structured IT service management processes
Modernized virtualized infrastructure environments
Implemented abas ERP
Migrated data and integrated systems
Digitized production and logistics processes
Optimized operational workflows and data flows
Supported cross-functional digitization initiatives
Introduced a central LIMS
Integrated devices and automated data
Developed automated data pipelines
Created reports and dashboards
Integrated lab-specific systems into existing IT landscapes
Developed industrial interface solutions
Set up OPC UA communication
Automated production
Integrated industrial printing and production systems
Industry Experience
See where this freelancer has spent most of their professional time.
Experienced in Agriculture, Food and Beverage, Insurance, Aerospace and Defense, and Information Technology.
Business Area Experience
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Experienced in Information Technology, Operations, Production, Supply Chain Management, Business Intelligence, and Product Development.
Summary
Senior IT Consultant with a focus on cloud data engineering, enterprise data platforms, infrastructure architecture, and strategic digitization. Experience designing and implementing scalable Azure- and Kubernetes-based platforms for data engineering, analytics, machine learning, and governance.
Combining technical depth, infrastructure expertise, and strategic IT transformation in enterprise, research, and production environments.
Specializations:
- Azure Databricks Lakehouse Platforms
- Cloud-native Data Platforms
- Data Engineering & Analytics Engineering
- Infrastructure & Platform Engineering
- Kubernetes & DevOps
- Data Governance & Security
- MLOps & AI Platforms
- Enterprise Integration
- ERP & LIMS Integration
- Digital Transformation
- Hybrid Cloud Architectures
- Infrastructure as Code
Focused on sustainable target architectures, secure platform standards, scalable data solutions, and business-oriented digitization.
Skills
Cloud & Platform Engineering
- Microsoft Azure
- Azure Databricks
- Azure Kubernetes Service (Aks)
- Kubernetes
- Docker
- Helm
- Terraform
- Infrastructure As Code
- Cloud Architecture
- Hybrid Cloud
- Platform Engineering
- Cloud Governance
- Private Networking
Data Engineering & Analytics
- Data Engineering
- Data Lakehouse
- Delta Lake
- Etl / Elt
- Data Pipelines
- Pyspark
- Analytics Engineering
- Data Warehousing
- Data Governance
- Metadata Management
- Data Lineage
- Unity Catalog
- Self-Service Analytics
Devops & Automation
- Azure Devops
- Ci/Cd
- Gitops
- Argo Workflows
- Platform Automation
- Observability
- Monitoring
- Logging
- Infrastructure Automation
Software Engineering
- Python
- Java
- Spring Boot
- C#
- .Net
- Rest Apis
- Json
- Xml
- Microservices
Machine Learning & Ai
- Machine Learning
- Mlops
- Tensorflow
- Keras
- Scikit-Learn
- Ml Pipelines
- Model Deployment
Security & Iam
- Identity & Access Management
- Keycloak
- Rbac
- Cloud Security
- Compliance
- Governance
Enterprise Systems & Integration
- Abas Erp
- Lims
- Gqm Mes
- Microsoft Sql Server
- Postgresql
- Nosql
- Opc Ua
- Vmware Esxi
- Enterprise Integration
Industries
- Insurance
- Automotive
- Manufacturing
- Research & Development
- Laboratory & Quality Management
- Industrial Production
Domains
- Enterprise Data Platforms
- Data Governance
- Analytics Engineering
- Cloud Transformation
- Digital Transformation
- Platform Engineering
- It Service Management
- Erp
- Lims
- Industrial Integration
- Mlops
- Enterprise Infrastructure
Key Technologies
- Azure Databricks
- Microsoft Azure
- Terraform
- Kubernetes
- Docker
- Helm
- Python
- Pyspark
- Delta Lake
- Azure Devops
- Ci/Cd
- Gitops
- Aks
- Tensorflow
- Argo Workflows
- Spring Boot
- Java
- C#
- .Net
- Power Bi
- Microsoft Sql Server
- Postgresql
- Elasticsearch
- Grafana
- Prometheus
- Keycloak
- Vmware Esxi
- Abas Erp
- Opc Ua
Languages
Education
Hochschule für Wirtschaft und Recht Berlin
Bachelor of Arts · Germany
Certifications & licenses
Data Engineer
Dataquest.io
Foundations Of Digitization
Masterplan.com
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Experience
Expertise
Qualifications
Profile
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