Azure Blob Storage Experts in Munich
in minutes with vetted specialists and the power of AIHire experts who design blob containers, manage lifecycle rules and access tiers, and build secure storage for apps, backups, media, and data pipelines. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Munich, who have recently used Azure Blob Storage
Michael N.
Last position:
Senior AI Engineer | Forward Deployed Engineer at Tiefbau
- Development of an AI-powered project organization tool for a civil engineering company that intelligently links project, task, tender, schedule, and document data through a knowledge graph.
- Implementation of AI features for document analysis, information extraction, context-based assistance, and voice-based data capture based on Microsoft Azure AI, reducing administrative effort, making information available faster, and supporting project teams in decision-making.
- Tech stack: Python, React, TypeScript, FastAPI, Claude Code, Codex, Graphify, PostgreSQL, Microsoft Azure AI Foundry, Azure OpenAI, Azure AI Speech, Azure AI Document Intelligence, Microsoft Graph, Microsoft Entra ID, Docker, Git, CI/CD.
Serge K.
Last position:
MLOps (machine learning operations) at REWE Digital GmbH
- It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
- GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
- Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
- CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
Stefan W.
Last position:
Architect/Software Developer at Global Logistics Support GmbH
Task
- Further development of a new ERP system with Blazor
- Creation of e-invoices with the XRechnung and ZUGFeRD format
- UI/UX design Client-server system
- Windows 11 Technology
- Microsoft .NET 9, Git, Azure DevOps, ASP.NET, MSSQL, Blazor Programming languages
- C#, MVVM Development tools
- Microsoft Visual Studio .NET 2022 Database
- MSSQL Industry
- Other
Maziyar K.
Last position:
Data Engineer at MSD Germany
- Lead Architect to design and implement the data lake and ETL Pipeline using AWS Stack
- Performance Optimization of Data Ingestion of ETL Pipeline
- Development of Data Validation using Great Expectations
- Leading of the data migration for two sources exchanges
- Data Modeling in AWS Redshift
MLOps
- Model inference implementation by mlflow and AWS SageMaker
- Feature Engineering for the running ML Models ( Recommender Engineer, Clustering )
- Implementatino of Model Registry and artifactory using mlflow
- Historization an Profiling of the Input Data Using AWS Glue Crawler and AWS Data Catalog
- Feature importance using mlflow
Tech. Stack: Python 3, AWS Glue, AWS Step Fucntion, AWS Lambda, AWS EventBridge, AWS IAM Role, AWS SageMaker, AWS EC2, AWS Glue Crawler, AWS CloudWatch, MLFlow, ETL, Data lake, GitHub Action, Terraform, Jenkins, Ansible playbooks (Infrastructure as Code), CI/CD, GitLab, SQL, PySparkSCRUM, Agile, Jira, BigData, VSCode, DBeaver, MSSQL, MySQL, grafana, Docker, Linux, Bash, MapReduce, Data Modeling (ORM), Pandas, YAML, SQL-Alchemy
Mohamed S.
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
Satish K.
Last position:
Sustainability Intern at Forschungszentrum Jülich GmbH
- Developed energy estimation models to estimate electric charging and hydrogen refueling requirements at charging and refueling stations for logistics trucks in Germany.
- Estimated future freight traffic demand for Germany using an in-house transport demand model.
- Designed a network of electric charging and hydrogen refueling stations based on transport model results, supporting data-driven infrastructure planning.
Discover over 15,000 top freelancers
Statistics of experts using Azure Blob Storage
Aggregated from the professional profiles of matched freelancers.
Experience
13 years
Position duration
1.2 years
Positions per freelancer
14
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Insurance, Education
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
100%
Doctorate
20%
Certifications per freelancer
3
Most common languages
German, English, Arabic
Speak two or more languages
100%
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Munich 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 Munich using Azure Blob Storage
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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Azure Blob Storage experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (83%)
- Insurance (67%)
- Education (50%)
- Energy (50%)
- Banking and Finance (50%)
- Healthcare (50%)
- Transportation (50%)
- Media and Entertainment (50%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Storage basics
Azure Blob Storage is Microsoft Azure object storage for unstructured data. Teams use it for documents, images, logs, backups, video, and data lake workloads. It fits apps that need durable storage without managing disks or file servers.
Common use cases
- Store app assets, backups, and archives
- Serve media files and download content
- Keep logs, exports, and batch files
- Feed analytics and data engineering pipelines
Blob containers, access tiers, and lifecycle rules are central to good design. Strong specialists choose the right structure for performance, cost, and retention.
Ecosystem and tools
Blob work often touches Azure Storage accounts, Azure Portal, CLI, SDKs, and IaC tools such as Bicep or Terraform. Professionals also work with SAS tokens, managed identities, private endpoints, and event-driven integrations. In Munich, this often sits inside enterprise cloud, industrial, and SaaS environments.
When freelancers help
Companies bring in freelance expertise when storage needs become more than simple file uploads. Typical reasons include migration from on-prem file shares, permission cleanup, performance tuning, or a new app that must integrate with Blob Storage safely. The right specialist can also review naming, retention, and recovery design.
What strong specialists do
Strong professionals know how to design for durability, access control, and predictable costs. They understand blob types, replication options, encryption, and how applications should upload, read, and expire content.
- Secure access with Microsoft Entra ID, SAS, and role-based permissions
- Tune tiers, redundancy, and lifecycle policies
- Support app, analytics, and backup workflows
- Troubleshoot latency, access, and transfer issues
Good fit for teams
Azure Blob Storage specialists are a fit for teams that need reliable cloud storage used by web apps, internal tools, media systems, or data platforms. They can work remote or on-site in Munich, depending on security and stakeholder needs. Clear requirements, existing Azure standards, and access to related systems help them move faster.
Frequently asked questions
Curious about Azure Blob Storage? Here are the answers that come up again and again.
Azure Blob Storage is used to store unstructured data such as documents, images, logs, backups, and large content files. It is also common in analytics pipelines where files land in a storage account before processing. Many teams choose Blob Storage when they need durable object storage with simple application access.
Azure Blob Storage is object storage, while Azure Files is closer to a shared file system. If a team needs blob containers, lifecycle rules, and web or data pipeline access, Blob Storage is usually the better fit. Compared with Amazon S3, it solves a similar problem, but the surrounding Azure identity, networking, and tooling are different.
A strong Azure Blob Storage specialist should know access control, storage tiers, redundancy, and encryption. Useful adjacent skills include Microsoft Entra ID, Azure networking, REST APIs, and infrastructure as code with Bicep or Terraform. Experience with monitoring and troubleshooting is also important.
A company usually brings in Azure Blob Storage expertise when it needs a clean migration, better security, lower storage cost, or a redesign of how apps store and retrieve files. It also helps when a team must connect storage to data processing, backups, or media delivery. Freelance support is useful when internal teams know the business but need focused cloud storage experience.
Yes, Azure Blob Storage work is often well suited to remote collaboration because most tasks are design, configuration, and code-based. On-site time in Munich can still help when stakeholders need workshops, security reviews, or migration planning. The best setup depends on access rules and how much coordination the project needs.
Look for someone who can explain trade-offs clearly and does more than create containers. A good Azure Blob Storage expert can justify access choices, lifecycle rules, and redundancy settings, and can show how they handled recovery or security in past work. Clear documentation and calm troubleshooting are strong signs.
The most common mistakes in Blob Storage projects are weak access control, poor naming, no lifecycle cleanup, and unclear ownership of stored data. Teams also forget network boundaries, which can create exposure or block applications later. A careful specialist checks these points early.
Many Azure Blob Storage projects can be handled in English, especially in technical teams and cloud-focused companies. In Munich, local language support can help with workshops, handovers, or mixed business and technical meetings. The key is that the specialist can communicate clearly with both technical and non-technical stakeholders.
The average hourly rate of freelancers in Munich, Germany who have used Azure Blob Storage in their recent projects is 89 €, which corresponds to a daily rate of about 711 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Azure Blob Storage in their recent projects, 100% hold at least a Bachelor's degree, 100% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Munich, Germany who have used Azure Blob Storage in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 1.2 years.
The most common languages among freelancers in Munich, Germany who have used Azure Blob Storage in their recent projects are German (100%), English (100%), and Arabic (17%).
The most common industries among freelancers in Munich, Germany who have used Azure Blob Storage in their recent projects are Information Technology (83%), Insurance (67%), and Education (50%).
The most common business areas among freelancers in Munich, Germany who have used Azure Blob Storage in their recent projects are Information Technology (100%), Business Intelligence (83%), and Product Development (83%).
Main locations of FRATCH Experts, who have recently used Azure Blob Storage
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.
Countries:
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
