Azure CLI Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Azure CLI
Michael Nelz
Last position:
Senior ML Engineer, AI Engineer at Lanxess AG
- Deployment and scaling of existing ML initiatives, including demand and cash flow forecasts.
- Building robust monitoring with mlflow for data stability, model performance, and drift detection, as well as implementing additional ML use cases.
- Further development of an Agentic AI chatbot for transparent and easy-to-understand model explanations.
Thomas Hoefkens
Last position:
Senior MLOps, DevOps Engineer at Trianel Energy
- Build and operate an end-to-end MLOps platform on Azure ML and Kubernetes (Kubeflow) for the automated deployment, monitoring, and scaling of forecasting models (including Temporal Fusion Transformer, Informer, Autoformer).
- Implement CI/CD pipelines in Azure DevOps for the full ML lifecycle – from resource provisioning (Terraform), data transformation (Hugging Face Datasets, Pandas, PyTorch, CUDA cluster) through training and evaluation to model registry and endpoint deployment.
- Integrate MLflow for experiment tracking, model versioning, performance monitoring, and automated registration in the Azure Model Registry.
- Develop and containerize PyTorch training jobs (Azure Notebook, Jupyter Notebooks) for price and time series forecasting (PFC models) with automatic rollout via Azure ML Endpoints and REST/gRPC interfaces, Docker containerization, secured with OAuth 2.0.
- Set up monitoring and alerting mechanisms (Prometheus, MLflow Metrics), log centralization, and cost monitoring.
- Automate infrastructure provisioning and model deployment using Terraform, Helm, and Azure CLI; connect to existing market data systems and event pipelines.
- Migrate existing workloads and databases (IONOS → Azure, MongoDB) with integration into central MLOps workflows and internal networks.
- Extend the platform with LLM-based tools (LangChain, LangServe) to integrate GPT-based analysis modules into existing Spring Boot services for market anomaly detection and automated reports.
- Analyze and architect a software solution to process large volumes of data efficiently (>3000 messages/sec.) (market data store).
- Spring Boot / Java 21 container development with RabbitMQ for distributing stock market data via MongoDB (Kubernetes) with fast storage of data in Redis RMaps, deduplication, forwarding messages to Read Model queues, and building Read Models for UI display in MongoDB.
- Integration of RESTHeart to create a REST API for MongoDB.
- Build an Angular frontend to simplify data queries and master data maintenance.
- Agentic coding with remote and local LLMs (Claude Sonnet, Ollama Qwen) and MCP servers.
- Develop Python scripts for transforming and cleaning incoming stock market data (Pandas, scikit-learn).
Moritz Freyburger
Last position:
AWS Developer/DevOps Engineer (Energy Trading) at RWE Supply & Trading GmbH
- Further development and partial new development of a distributed cloud application for providing data in energy trading
- Independent implementation of the infrastructure (IaC)
- Creation of automated CI/CD pipelines, containers, REST APIs, and Lambdas
- Continuous cost and performance optimization
- Collaboration in an international Scrum team and with experts in energy trading
- Technologies: C#/ASP.NET Core; EF Core; PostgreSQL; Terraform/AWS CloudFormation; HTTP; REST/Web API; Swagger/OpenAPI; Azure DevOps; Rider; VS Code; git; Docker; AWS (S3, EC2, Fargate, Lambda, Step Functions, Secrets Manager, VPCs, ALB/NLB, RDS, Cloudwatch, AWS CLI, Amazon MQ); Redis; OAuth; OpenID Connect
- Languages: C#; TypeScript; HCL; Docker; Bash; PowerShell; YML; JSON
Julian Martin
Last position:
Senior Cloud Consultant at Rewion
- Led client projects end-to-end — from scoping and cloud strategy to sprint planning and stakeholder alignment
- Planned and implemented secure Azure Landing Zones using Infrastructure as Code
- Developed governance frameworks and cloud security controls tailored to enterprise environments
- Executed cloud readiness assessments and managed cloud migration initiatives from evaluation to handover
- Facilitated client workshops and agile ceremonies (sprint planning, backlog refinement, standups)
- Built internal Cloud Competence Centers to foster knowledge sharing and best practices across teams
- Development of a general Cloud Service Portal
Andreas Eckert
Last position:
IT-Compliance & Security at Bellaseno GmbH
Conducting a gap analysis to assess existing security measures → identifying critical vulnerabilities
Developing a catalog of measures considering risk and cost-effectiveness
Implementing an IT maturity model according to BSI guidelines
Advising management on compliance, governance, and security strategy
Establishing internal processes for a sustainable security organization
Tobias Holtkamp
Last position:
SAP Technology Expert / SAP BO Basis Administrator at Talanx AG/ HDI Versicherung
- Incident Management
- User management: creating, maintaining, and deactivating users as well as maintaining roles
- Updates and upgrades: planning and executing updates and upgrades
- Operations: performance analysis, daily monitoring, and applying SNotes
- Job management: creating, maintaining, and monitoring jobs
- Training of employees
- Development and extension of reports
- Development and extension of universes
- Technologies: SAP BusinessObjects (SAP BO 4.3), Oracle SQL Developer, SAP Information Design Tool, Octane
- Methods: Scrum
Jörg Ritz
Last position:
Embedded Software Developer at Client upon request
- Embedded SW development for IoT products on microcontroller basis
- C
- C++
- FreeRTOS
- Microcontrollers (ARM, Renesas)
- IP
- Security (TLS)
- WLAN
- IoT
- MQTT
- Eclipse
- GIT
- GCC
- JSON
- HTTP(S)
- REST API
- CMake
- I2C
- MCUboot
- Azure Client
Mohamed Saleh
Last position:
Machine Learning Engineer (Part Time) at E.ON Digital Technology
- Designed and implemented an advanced, agentic RAG pipeline using LangChain and LangGraph for structured data extraction from PDFs, utilizing tools, state management, and OpenAI LLMs (GPT-4) to improve accuracy and handle complex document structures.
- Developed a Google AI agent for extraction of structured information from PDF documents and deployed the agent on Vertex AI.
- Architected data pipelines using Azure Data Factory and Databricks to ingest data from Azure Blob Storage, process it with PySpark, and load it into Azure SQL Database via Linked Services.
- Containerized AI agents and services using Docker for consistent local development and deployment.
- Utilized PySpark and Dask for database querying in coordination with Azure Blob Storage and Document Storage.
- Created a ReAct agent that extracts structured data from PDF documents using tools and integrating Azure Document Intelligence.
- Contributed to the CPO invoices validation check project using Databricks to find existing CDRs and calculate total valid costs.
- Developed a conversational AI agent (chatbot) with a FastAPI backend, integrating RAG for precise tariff extraction and deployed the service using Azure Container Apps.
- Tools used: Azure, Azure OpenAI, Azure Document Intelligence, Azure Blob Storage, Google ADK, Google Cloud, Vertex AI, Gemini, Databricks, LangChain, LlamaIndex Ollama, Docker, PySpark, Azure SQL, Azure Data Factory, Azure AI Agent, Microsoft SQL Server
Divij Wadhawan
Last position:
Data Scientist at Daimler R&D, Daimler AG
- Mercedes Me is an app that connects your phone to several features in the car
- Implemented analytical KPIs for the Digital Drivers Log (Fahrtenbuch) feature
- Used PySpark on Databricks
Discover over 15,000 top freelancers
Statistics of experts using Azure CLI
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
1.9 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Professional Services, Manufacturing
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
75%
Master's degree or higher
63%
Certifications per freelancer
4
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Germany using Azure CLI
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
Azure control
Azure CLI is Microsoft’s command-line interface for managing Azure resources from a terminal. It is used to create, update, query, and delete cloud services without opening the portal. Teams often call it az or Azure Command-Line Interface.
Common work
- Provision resource groups, virtual networks, storage, and compute
- Automate deployments through scripts and pipelines
- Inspect subscriptions, identities, and access settings
- Run repeatable admin tasks across environments
It fits hands-on cloud operations and infrastructure work where speed and repeatability matter.
Ecosystem skills
Strong professionals know how Azure CLI fits with ARM templates, Bicep, PowerShell, Bash, and CI/CD tooling. They understand Azure roles, service principals, managed identities, and the resource model behind each command. That makes scripts easier to maintain and safer to run.
When to bring help
Companies bring in freelance expertise when scripts fail in deployment, when teams need cleaner automation, or when Azure tasks must be standardised across projects. In Germany, this often comes up in cloud migrations, regulated environments, and mixed-language teams that still want clear terminal-based workflows.
What strong experts do
- Write clear, idempotent scripts that can run again without damage
- Use filtering, querying, and structured output to avoid manual checks
- Handle authentication, scopes, and permissions correctly
- Keep commands aligned with Azure naming and lifecycle rules
Good experts also know when the CLI is the right tool and when PowerShell or templates are a better fit.
Deliverables and fit
Azure CLI is common in setup guides, deployment scripts, runbooks, and release automation. It appears in projects for app hosting, networking, backup, monitoring, and identity work. The best freelancers leave behind commands that teams can read, reuse, and support without guesswork.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Azure CLI.
Azure CLI is used to manage Azure resources from the terminal. Companies rely on it for provisioning, deployment scripts, account setup, and operational checks. It is especially useful when teams want repeatable work that can run in automation or by hand.
Azure CLI is lighter and better suited to scripted, cross-platform work than the Azure portal. Compared with PowerShell, it often feels simpler for teams that already work in Bash or CI pipelines. Many projects use all three, but the CLI is the common choice for command-based Azure automation.
A strong Azure CLI specialist usually knows Bash or PowerShell, JSON, and the Azure resource model. Familiarity with Bicep, ARM templates, Git-based delivery, and identity management is also important. Those skills help turn one-off commands into reliable automation.
A Azure CLI project needs outside help as soon as scripts become hard to maintain or start touching production systems. Even a small task can benefit from an expert if it involves permissions, multi-step deployments, or shared runbooks. The key is not project size, but how much risk and repetition is involved.
Yes, Azure CLI work is usually remote-friendly because most tasks are script-based and easy to review in pull requests. In Germany, teams often want clear documentation and precise handover, especially when security or compliance matters. On-site work is mainly useful for workshops, access setup, or complex migration planning.
A Azure CLI freelancer should deliver scripts, runbooks, deployment steps, and clean documentation. Good output also includes safe defaults, parameter handling, and notes on required permissions. The best specialists leave behind commands that are easy for the team to reuse.
A strong Azure CLI professional writes commands that are idempotent, readable, and aligned with Azure best practice. Look for clear handling of authentication, resource naming, and error cases, not just command knowledge. They should also explain when another tool is a better fit.
They usually mean Azure CLI, the same Microsoft tool used to manage Azure from a terminal. Searchers also use the short name az because that is the command prefix they type every day. A good freelancer should be comfortable with both terms and with the workflows behind them.
The average hourly rate of freelancers in Germany who have used Azure CLI in their recent projects is 93 €, which corresponds to a daily rate of about 741 € based on an 8-hour working day.
Of the freelancers in Germany who have used Azure CLI in their recent projects, 75% hold at least a Bachelor's degree and 63% hold at least a Master's degree.
On average, freelancers in Germany who have used Azure CLI in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Germany who have used Azure CLI in their recent projects are German (100%), English (100%), and Spanish (33%).
The most common industries among freelancers in Germany who have used Azure CLI in their recent projects are Information Technology (89%), Professional Services (78%), and Manufacturing (67%).
The most common business areas among freelancers in Germany who have used Azure CLI in their recent projects are Information Technology (100%), Product Development (89%), and Business Intelligence (56%).
Main locations of FRATCH Experts, who have recently used Azure CLI
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
