Azure Cosmos DB Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Azure Cosmos DB
Hannah De Vries
Last position:
Fullstack Developer at DB Cargo
- Development of Blazor-Server applications for data management
- Focus on unifying design and user experience
- Mentoring junior developers
- Establishing and consulting for coding guidelines and best practices
- Technologies: .NET 9, Blazor Server, MudBlazor, HTML, CSS, MS SQL Server (T-SQL, Views, Trigger, Stored Procedures, Table-Valued Functions), Entity Framework, Visual Studio, Scrum, agile, git
Ales Loncar
Last position:
Senior DevOps Consultant (Freelance) at European Union Agency (via IBM)
- Worked as freelance Senior DevOps Consultant on-site for IBM at a European Union Agency, operating in a highly secure, air-gapped environment managing classified systems.
- Led automation and DevOps initiatives for a large-scale OpenShift platform (>400 nodes), driving deployment efficiency, GitOps adoption, and operational automation using Ansible, Python, and Bash while ensuring compliance with security requirements.
- Spearheaded automation of release and deployment workflows in a private cloud environment hosting 400+ OpenShift nodes, significantly improving deployment speed and reliability.
- Migrated existing playbooks, roles, and templates from Ansible Tower to Ansible Automation Platform (AAP), ensuring full compliance with fully-qualified collection names (FQCN) and preparing custom Execution Environments (EE) for containerized automation.
- Implemented GitOps Agent for AAP Controller Configuration as Code, enabling automated synchronization (CRUD) of Ansible Controller objects based on repository-stored configuration definitions using GitHub webhooks.
- Designed and automated complex multi-step operational workflows including environment cleanup, Helix cluster component re-creation, Kafka topic management, and OpenShift object lifecycle management across ~100 environments.
- Achieved a reduction of multi-day manual operations to under a few hours through automation improvements spanning multiple AAP clusters and OpenShift environments.
- Integrated Ansible Automation Platform with Thycotic (Delinea) Secret Server via lookup plugin to enhance secure credential management in automated processes.
- Managed deployment tasks, platform troubleshooting, and Istio network configurations while adhering to stringent EU PSC security and compliance standards.
- Collaborated with infrastructure and application teams to refine deployment procedures, develop naming conventions, and continuously improve automation coverage in an air-gapped, classified environment.
Maziyar Khorrami
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
Vedran Kljajic
Last position:
Zeiss Smart Services Dashboard at Zeiss
Realtime monitoring and analysis of individual devices, device groups, or the entire machine park
Data evaluation of one or more measurement systems or a complete machine park to compare devices
Data export as .csv file for: utilization, usage, collisions, measurement plans and temperatures
Notifications via browser and email
Analysis of project requirements and goals
Implementation of UI components and features based on design specifications
Development of RESTful APIs with C# .NET
Implementation of business logic and server-side data processing
Review of code changes by other developers
Azure IoT infrastructure, Cosmos DB, Angular, .NET 6
C#, Typescript, REST
Boris Nicolai
Last position:
Fullstack Developer & DevOps Engineer at EnBW Energie Baden-Württemberg
- Further development of the internal "ECockpit" platform with an Angular 17 frontend and .NET (C#) backend
- Maintenance and further development of Azure DevOps pipelines
- Introduction of technical improvements in build & release processes
- Collaboration on a modular architecture approach (Clean Architecture & DDD)
- Focus on scalability and secure data processing
- Tech stack: Angular 17, .NET / C#, Azure, Azure DevOps, Git, CI/CD, Clean Architecture, Domain Driven Design
Daniel Carton
Last position:
Founder & Managing Director at BotCraft GmbH
- Building the company with a focus on connectivity for IIoT and Industry 4.0, iRPA/process automation, advanced robotics and smart systems, sensors and services
- Project management and software architecture for IoT gateway development (since 2020) with protocol translation, IT/OT convergence and GRC
- Developing RPA bots for automating and monitoring industrial processes with an agent-based AI approach (since 2020)
- Implementing unsupervised clustering and anomaly detection for time series data in big data streaming pipelines (since 2021)
- Introducing a Docker-based release train for OTA updates with DevSecOps and CI/CD (since 2018)
Bela Bocsak
Last position:
Full Stack Lead Developer, Backend Architect at Telefonica (O2)
The software supports the complete planning and approval of antennas for mobile telephony.
The system was implemented using an event-driven microservice architecture for cloud-native deployment with Quarkus on the backend, Kafka for communication, and Angular for the frontend. Services run on Kubernetes in Google Cloud. A special challenge was synchronizing with the legacy system still used by some users.
Andreas Kraus
Last position:
Senior Developer at ioki GmbH, a Deutsche Bahn AG company
- Fullstack development based on Next.js and TypeScript
- Development and optimization of geospatial database queries for PostgreSQL/PostGIS
- Visualization of geospatial data using Mapbox
- Design and execution of load tests and performance optimizations
- Code reviews and documentation tasks
- Technologies: JavaScript, TypeScript, Next.js, React, Zod, tRPC, Storybooks, PostgreSQL/PostGIS, MicroORM, Knex, Material UI, Mapbox, BullMQ, Jest, Playwright, Artillery.io, K6, Sentry, Figma, GitLab, Grafana, GTFS
Christian Hacker
Last position:
ZVEI - Central Association of the Electrical Industry
- Further development of Excel templates for the electrical industry
- Design and development of new analysis functions
- Extension of Excel templates for data analysis
- Use of Excel and VBA
Janusz Mazurek
Last position:
IoT Edge Computing / Self-Driving-Cars at Automotive consulting company
- Platform: Python ecosystem, RHEL 8, K10, AWS IoT Core, AWS Lambda, MLOps
- Software: Java JEE/cloud, IntelliJ IDEA, AWS IoT Core, AWS Edge and Lambda, AWS SageMaker SDK, Docker Compose, Kubernetes, OpenShift 4, Tekton, Flux, Helm charts, JSON/XML technology, Nginx, Apache Spark, OpenAI (GPT Plus, DALL-E 3, Whisper), GAN, GitHub Copilot, AI/machine and deep learning, Jupyter notebooks, TensorFlow 2, Colab, Keras API, Prometheus, Grafana, Conda, Python 3.9, PySci stack (NumPy, pandas, Scikit-learn, matplotlib)
- Responsible for webinar:
- IoT edge computing: architecture, components, resources, management
- IoT edge computing with MicroK8s, designing and creating flows/diagrams for AWS, three-step model for IoT ecosystem
- IoT processes, connectivity, data transfer and deployment, security
- Optimization of edge computing for IoT networks and services (AWS SQS queue, SNS notifications, events, analytics, buttons, device management/defender, Things Graph)
- Machine/deep learning frameworks (models, training, pipeline optimization, deployment in the cloud/at the edge (OpenShift), monitoring workloads with Prometheus and Grafana)
- Performance optimization for low latency/resilience using adaptive ML/DL/RL models for customer IoT data
- Analysis of large sensor data sets with Apache Spark, Kafka clusters
- Kasten K10 data management platform on Kubernetes multi-cluster with Helm chart, deployment, backup/disaster recovery (RTO/RPO), data lifecycle and security management
- Implementation of multilayer artificial neural network (ANN) with TensorFlow 2 and Colab for regression and classification; data analysis and provisioning for applications; development of models for testing and training, deployment of models
- Automation of business streamline processes with AI (Azure OpenAI, Discord bots/Zapier apps AI assistants (IntelliJ, GitHub Copilot))
Discover over 15,000 top freelancers
Statistics of experts using Azure Cosmos DB
Aggregated from the professional profiles of matched freelancers.
Experience
23 years
Position duration
1.5 years
Positions per freelancer
19
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Product Development
Bachelor's degree or higher
89%
Master's degree or higher
56%
Doctorate
33%
Certifications per freelancer
1
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 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 Cosmos DB
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
What it is
Azure Cosmos DB is Microsoft’s managed NoSQL database for apps that need fast reads and writes, global distribution, and flexible data models. It is often called Cosmos DB or Microsoft Cosmos DB. Teams use it for customer profiles, event data, product catalogs, and always-on services.
Common uses
- Multi-region application back ends
- Event and telemetry storage
- Personalization and user state
- IoT and real-time data flows
- Search-friendly product and content data
It fits systems that must stay responsive while data moves across regions or changes shape often. In Munich, it is a common fit for product teams in enterprise software, mobility, industry, and connected services.
Ecosystem
Azure Cosmos DB works with the Azure stack, including Azure Functions, App Service, Azure Kubernetes Service, and Data Factory. Professionals also work with SQL API, MongoDB API, Cassandra API, Gremlin API, and Table API when they need compatibility with existing tools or data patterns.
What strong professionals do
Strong specialists choose the right partition strategy, model documents or graphs cleanly, and keep throughput under control. They also design indexing, consistency, backup, and multi-region failover so the system stays stable in production. Good work is visible in clear data models and predictable operations.
When to bring in freelance help
Companies usually need outside expertise when a Cosmos DB project must be rescued, scaled, or moved from a prototype into production. A freelance specialist is useful for migrations from MongoDB or SQL Server patterns, performance issues, schema redesign, and integration work across Azure services.
What to look for
- Experience with the chosen API and data model
- Solid partitioning and indexing decisions
- Practical work on latency, throughput, and consistency
- Azure integration across functions, messaging, and analytics
- Clear production support and handover habits
For Munich teams, strong communication in English is common, and on-site workshops can help when the data model is still changing. Remote delivery also works well when the scope and access are clear.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Azure Cosmos DB.
Azure Cosmos DB is used for applications that need fast access, flexible schema design, and global availability. It often stores user profiles, shopping data, device events, content metadata, and other workloads that must stay responsive under changing demand. Teams choose it when a managed database is better than building their own distributed storage layer.
Cosmos DB is usually chosen for managed global distribution and multiple API options, while MongoDB is often preferred for a more direct document-database fit. PostgreSQL can be a better match when relational modeling and SQL-first reporting matter most. The right choice depends on the data shape, consistency needs, and how much operational control the team wants.
A strong Microsoft Azure Cosmos DB specialist should understand partition keys, indexing policies, consistency levels, and request unit planning. Useful adjacent skills include Azure Functions, Kubernetes, data migration, and API design. For graph or legacy compatibility work, experience with Gremlin or the MongoDB API helps.
A small proof of concept can start with a general Azure specialist, but production work usually needs someone who has handled real data modeling and scaling decisions. Azure Cosmos DB is forgiving at the start and unforgiving later if the partition strategy is weak. Bring in an expert early if the workload is expected to grow or must stay highly available.
Companies often hire a Cosmos DB freelancer during migrations, performance tuning, schema redesign, or multi-region rollout. Freelance help is also useful when the internal team knows the business logic but lacks deep Azure database experience. That support is especially valuable when a launch date is fixed and the data layer is still changing.
Yes, Azure Cosmos DB work is often well suited to remote delivery because much of the work happens in design reviews, query tuning, and Azure configuration. For Munich teams, remote collaboration works best when access, test data, and deployment paths are clear. Short on-site sessions can still help when the data model or migration path is complex.
Look for clear reasoning about partitioning, indexing, and consistency, not just general Azure knowledge. A good Cosmos DB professional explains trade-offs in plain language and can show how they reduced latency, avoided hot partitions, or simplified operations. Clean handover notes and support for monitoring are also strong signs.
It can be, especially when the team wants a managed Azure service with MongoDB-style compatibility. The first Azure Cosmos DB question is not whether the API matches, but whether the workload benefits from global distribution, elastic throughput, and Azure integration. If the app is already tied to MongoDB features or tools, compatibility should be checked carefully before migration.
The average hourly rate of freelancers in Munich, Germany who have used Azure Cosmos DB in their recent projects is 95 €, which corresponds to a daily rate of about 761 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Azure Cosmos DB in their recent projects, 89% hold at least a Bachelor's degree, 56% hold at least a Master's degree, and 33% hold a doctorate.
On average, freelancers in Munich, Germany who have used Azure Cosmos DB in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Munich, Germany who have used Azure Cosmos DB in their recent projects are German (100%), English (90%), and Spanish (20%).
The most common industries among freelancers in Munich, Germany who have used Azure Cosmos DB in their recent projects are Information Technology (100%), Automotive (70%), and Banking and Finance (70%).
The most common business areas among freelancers in Munich, Germany who have used Azure Cosmos DB in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (50%).
Main locations of FRATCH Experts, who have recently used Azure Cosmos DB
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
