Azure Cosmos DB Experts in Munich
, matched in minutes with vetted and available freelancersHire experts who design globally distributed data models, tune partitioning and indexing, and connect Cosmos DB with Azure Functions, APIs and event-driven services. FRATCH precisely matches you with vetted, available freelancers who fit your technical needs quickly.
Meet FRATCH Experts in Munich, who have recently used Azure Cosmos DB
Ales L.
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.
Hannah D.
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
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
Vedran K.
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 N.
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 C.
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 B.
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 K.
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 H.
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 M.
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
1.6 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 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 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Azure Cosmos DB 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 (100%)
- Automotive (70%)
- Banking and Finance (70%)
- Transportation (70%)
- Manufacturing (60%)
- Government and Administration (60%)
- Education (50%)
- Telecommunication (50%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Azure Cosmos DB is
Azure Cosmos DB is Microsoft Azure’s fully managed, globally distributed NoSQL database service. It supports document, key-value, graph and column-family data models through APIs such as NoSQL, MongoDB, Cassandra, Gremlin and Table. Teams use it when applications need low-latency access, elastic throughput and resilience across regions.
Where it fits
Cosmos DB supports customer-facing applications, connected devices, digital commerce, gaming services and real-time personalization. Its flexible schema suits data that changes quickly, while automatic replication and regional failover support applications serving users across multiple markets.
- Multi-region application data
- Event-driven services and APIs
- IoT and telemetry workloads
- Personalization and catalog data
Ecosystem and tooling
Strong specialists work across Azure resource management, Azure Functions, App Service, AKS, Event Grid and Service Bus. They use the Azure SDKs, Data Explorer, the Azure portal, infrastructure as code and observability tools to manage deployments and diagnose production behavior. Familiarity with MongoDB or the former DocumentDB name can help when teams migrate existing workloads.
When expertise matters
Companies often bring in freelance expertise during a migration from relational databases, a redesign of partition keys or a move to multi-region operations. Specialists can also review an existing container model, establish indexing policies, configure change feed processing and prepare safe release procedures.
- Data modeling and partition strategy
- Throughput and query tuning
- Migration planning and validation
- Backup, recovery and failover design
What strong professionals deliver
A capable professional connects application access patterns to a clear partition-key strategy instead of treating Cosmos DB like a traditional relational database. They understand request units, consistency choices, indexing, time-to-live settings and change feed behavior. Their deliverables include tested data models, deployment automation, monitoring guidance and practical runbooks.
Working with a Munich specialist
A Munich-based specialist can collaborate on site or remotely with product, cloud and data teams across Germany. Clear communication in English is common in international projects, while German may help with local stakeholders. Before engaging someone, ask for examples of production Cosmos DB work, explain the expected access patterns and review how they handle partition hot spots, cost control and regional outages.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Azure Cosmos DB.
Azure Cosmos DB is used for distributed applications that need flexible data models, fast access and managed replication across Azure regions. Common workloads include APIs, personalization, device data, digital commerce and event-driven services.
Cosmos DB favors flexible schemas, horizontal partitioning and globally distributed access, while relational databases center on structured tables, joins and transactional relationships. The right choice depends on access patterns, consistency needs, data relationships and operational requirements.
A strong Azure Cosmos DB specialist usually understands Azure Functions, App Service, AKS, Event Grid, Service Bus and API design. Useful adjacent skills include Azure networking, identity, infrastructure as code, observability and application development with the relevant SDK.
The required depth depends on the work. Azure Cosmos DB data modeling for a new service may need less specialist involvement than a migration, multi-region rollout or production issue involving partitioning, consistency and throughput.
Azure Cosmos DB work is usually well suited to remote collaboration because design, provisioning, reviews and monitoring can be handled through Azure tooling. For teams in Munich, on-site workshops can still help with architecture decisions, stakeholder alignment and migration planning.
Ask how the professional chooses partition keys, measures request-unit consumption and handles hot partitions. A strong Cosmos DB specialist should explain consistency, indexing, change feed processing, failover testing and recovery in terms of the application’s actual access patterns.
Azure Cosmos DB offers managed global distribution and several data APIs within Azure, while MongoDB is a database technology with its own deployment and service options. The MongoDB API can ease application migration, but compatibility, query behavior and operational expectations should be tested carefully.
Azure Cosmos DB evolved from Microsoft’s DocumentDB service and now covers several APIs and data models. A specialist familiar with DocumentDB may bring relevant experience, but the project should still assess current Azure features, SDKs, consistency options and operational practices.
The average hourly rate of freelancers in Munich, Germany who have used Azure Cosmos DB in their recent projects is 92 €, which corresponds to a daily rate of about 738 € 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 1.6 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
