Event-Driven Architecture Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Event-Driven Architecture
Karen Manukyan
Last position:
Personal AI Engineering Project — Croky AI at Crocky AI
Product:
- Built a production-ready AI platform for generating brand-aware marketing images and videos from product data, user requirements, and uploaded media.
- Own the platform architecture, technical roadmap, API design, security, deployment workflow, operational reliability, and model-provider strategy.
- Developed the core platform in .NET and built supporting AI and workflow prototypes in Python, applying language-independent API contracts and structured interfaces between services and model providers.
- Implemented reliable background processing with RabbitMQ, persisted workflow state, idempotent handling, retries, failure recovery, logging, secure storage, authorization, and credit accounting.
- Made pragmatic build-versus-buy and model-routing decisions based on reliability, latency, cost, and maintainability rather than novelty.
Agent Orchestration & RAG Systems
- Built and compared agent workflows using Microsoft Agent Framework, LangGraph, and LangChain, including tool use, conditional routing, clarification steps, state management, and hand-offs between agents.
- Implemented reusable .NET components for agents, prompts, tools, model providers, structured responses, and retrieval with pyvector, making it easier to change AI providers without rewriting the core workflow.
Giuseppe Abrignani
Last position:
Embedded Software Developer at Inheco
- AI Integration (LLM & RAG): Design and build of an internal intelligent RAG system (Retrieval-Augmented Generation) based on LLMs, n8n, and vector data for the automated analysis of technical documents and error logs.
- Design & Implementation: Design of a robust RS-232/UART communication interface for an SBC-based embedded device to control medical shaker systems.
- Architecture & Protocol Design: Implementation of a highly maintainable software structure (OOP, SOLID) and definition of hardware-close, resilient communication protocols including multithreading and advanced error handling.
- Quality Assurance & DevOps: Test automation using xUnit, integration tests directly on the hardware target, and maintenance of technical documentation according to strict medical technology standards via Azure DevOps.
Label: C#, .NET, LLMs, RAG, n8n, RS-232, UART, Multithreading, async/await, xUnit, gRPC/protobuf, Blazor, MudBlazor, EF Core, Visual Studio 2026, Azure DevOps
Boris Azar
Last position:
Owner and Manager at UBITEQ.io
- Management of digital business
- Design, build and run solutions based on ubiquitous technologies
Markus Oberhammer
Last position:
Lead E-Solution Architect & Senior Requirements Engineer at Zasterbot-Oracle
- Clarification of project goals, scope, and functional target vision for building the AI-based knowledge base.
- Deriving the initial architecture and implementation strategy for the Zasterbot chatbot, including defining the MVP and expansion phases.
- Developing a functional target vision for building a structured knowledge base and integrating a future chatbot.
- Deriving and prioritizing use cases for information retrieval and provision by the chatbot.
- Modeling data structures and flows for effectively organizing the knowledge base on the Base44 platform.
- Designing and implementing data models for storing and linking relevant information.
- Developing processes for extracting, analyzing, and preparing raw data for the knowledge base.
- Ensuring data consistency and quality as the foundation for the future chatbot.
- Planning the integration of large language models (LLMs) and retrieval-augmented generation (RAG) for precise and context-aware responses.
- Implementing features for analyzing and visualizing data from the knowledge base.
- Using the Base44 platform with JSON-schema-based entities and a flexible permission model.
- Implementing Deno functions for backend logic, event processing, and external API integration.
- Integrating OpenAI services for initial data analysis.
Alexandru Gunescu
Last position:
Head of Cloud Infrastructure at BP
- Migrated the Electric Vehicle Charging SaaS App of the EV Division from on-premises and Azure to AWS Cloud, resulting in a hybrid multi-cloud multi-tenant solution
- Developed a streaming data pipeline using AWS MSK for Apache Kafka and implemented an event-driven architecture to ingest and process near real-time data from OCPI-protocol IoT devices
- Implemented multi-tenant strategies including database schema isolation, bridge model for resource sharing, and tenant-based RBAC controls
- Provisioned Kubernetes clusters on AWS EKS with namespaces and RBAC for tenant isolation
- Led migration from on-premises and Azure to AWS using AWS DataSync, Snowball, and Database Migration Service
- Orchestrated collaboration across 5+ systems, vendors, service providers, and on-site teams
- Supported development and maintenance of IT strategy aligned with business requirements
- Managed €40 million infrastructure budget with AWS & Azure cost optimization, achieving 15% savings
- Led 50+ developers to implement advanced database procedures, increasing productivity by 20%
- Spearheaded multi-cloud, multi-tenant infrastructure migration for 30% faster processing times
- Negotiated vendor pricing to reduce payroll/benefits administration costs by 20%
- Developed a two-year infrastructure technology roadmap yielding 25% cost savings
- Tech stack: Kubernetes on AWS EKS, Docker, Kafka/AWS MSK, Terraform, AWS CDK, TypeScript, React, NextJS, Node.js, NestJS, Python, Aurora Serverless, RDS (MySQL, SQL Server), GitHub Actions, Azure DevOps, ArgoCD, AWS Lambda, API Gateway, AWS Security Hub, AWS Database Migration Service, AWS DataSync, AWS Organizations, AWS Control Tower, Odoo, Microsoft Navision, MS Dynamics
Waldemar Lammert
Last position:
Technical Program Manager at Autoscout24
Technical Program Manager for data- and architecture-driven transformation initiatives in complex system landscapes. Focus on target architecture, data and integration strategy, legacy decommissioning, migration planning, delivery management, and technical governance. Experience in decoupling highly integrated platforms, managing data and process migrations, defining service-oriented target states, coordinating cross-domain engineering streams, and evaluating technical solution options regarding effort, risk, operating model, and feasibility. Proven work in programs focusing on data flows, data provisioning, dealer/customer provisioning, API transition, reporting target architectures, and modernization of business-critical backend and integration systems.
- Definition of goals, milestones, and dependencies
- Program and roadmap management
- Managing cross-country teams to achieve targets
- Aligning the target architecture
- Risk analysis, assessment, and management
- Stakeholder management
- Planning releases, capacities, and dependencies
- Status tracking and C-level reporting
- Defining strategies, tools, frameworks, and integrations
- Quality assurance and acceptance
Max Ritter
Last position:
Cloud (AWS) | AI | DevOps | Data at Boehringer Ingelheim
- Architected and implemented an enterprise-grade AI Agent Platform leveraging Retrieval Augmented Generation (RAG) architecture to enhance clinical data insights.
- Established robust CI/CD pipelines for LLM applications using CDK and Jenkins, significantly reducing deployment times.
- Implemented comprehensive observability solutions that increased agent reliability across pharmaceutical environments.
- Designed scalable AI workflows with advanced orchestration that optimized context handling for enterprise data sources.
- Technologies: AI Agents (LangChain, LangGraph, Bedrock, Smolagents, Streamlit); LLM Operations (Tracing, Testing, Evaluation, LangSmith, LangFuse); Infrastructure-As-Code (AWS CDK, Terraform, Typescript, Jenkins); Vectors, Embeddings, RAG (OpenSearch, pgvector, PDF Extraction)
Fabian Ehringer
Last position:
Technical Lead at 21bitcoin
- Building a scalable and robust financial service based on Bitcoin and paving the way for a truly digital financial world.
Discover over 15,000 top freelancers
Statistics of experts using Event-Driven Architecture
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 16 years)
Position duration
1.6 years (Germany: 2.7 years)
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Automotive, Media and Entertainment
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
88%
Master's degree or higher
63% (Germany: 50%)
Doctorate
13% (Germany: 3%)
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 99%)
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 Event-Driven Architecture
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
Event flow design
Event-Driven Architecture links services through events instead of tight request chains. It is used to react to changes in orders, payments, stock, user actions, and device signals. Strong specialists keep the event model clear, so teams can add new consumers without breaking existing flows.
Where it fits
- Order processing and fulfillment
- Notifications and workflow triggers
- Real-time analytics and monitoring
- IoT, logistics, and commerce systems
It fits systems that need loose coupling, fast change, and independent scaling. In Munich, it often appears in enterprise platforms, mobility products, industrial software, and data-heavy internal tools.
Core tooling
Common stacks include Kafka, RabbitMQ, ActiveMQ, and cloud event services such as SNS, SQS, EventBridge, and Pub/Sub. Experts also work with schema registries, message contracts, dead-letter queues, and observability tools to keep event streams reliable. They know when to use publish-subscribe, event sourcing, or simple async messaging.
What strong specialists do
A strong EDA specialist models event names carefully, defines ownership, and avoids duplicate or missing processing. They understand idempotency, retries, ordering, and eventual consistency. They also write clear contracts so teams can evolve services without hidden dependencies.
When companies bring help
Companies bring in freelance expertise when event streams start to fail under load, when services need to be split, or when a migration from synchronous APIs is underway. They also need help with consumer design, back-pressure, monitoring, and incident analysis. Munich teams often ask for short, focused support that works well with in-house experts in English or German.
Delivery and quality
Good work shows up in stable topics, clear schemas, replayable events, and sensible failure handling. The best professionals document business events, test consumer behavior, and leave systems easy to extend. They make sure the architecture serves the product, not the other way around.
Frequently asked questions
Quick answers to the questions that come up most around Event-Driven Architecture.
Event-Driven Architecture is used when systems need to react to changes as they happen. It is common for order updates, payment status, notifications, IoT signals, and workflow automation. The goal is to let services act on events without waiting on direct calls.
EDA reduces tight coupling because services publish and consume events instead of calling each other directly. REST is still useful for queries, commands, and user-facing interactions that need an immediate response. Many teams use both: APIs for direct requests and events for follow-up processing.
A strong Event-Driven Architecture specialist usually knows Kafka or RabbitMQ, schema design, distributed systems, and observability. Event sourcing, stream processing, idempotency, and retry handling are also useful. For cloud work, knowledge of managed messaging services matters too.
You do not need a full platform team before asking for help with Event-Driven Architecture. A freelancer can be valuable early, when the first event contracts are defined, or later, when a live system needs refactoring. The right level depends on whether you need design, delivery, or debugging support.
Most EDA work can be done remotely because the main tasks are design, implementation, and review. On-site time can help when teams are untangling legacy flows or aligning many stakeholders on event names and ownership. In Munich, many engagements work well with a hybrid setup.
A Event-Driven Architecture setup starts to struggle when consumers break after small payload changes, retries create duplicates, or nobody knows who owns an event. Too many point-to-point exceptions are another warning sign. Good specialists look for these problems before they become outages.
Kafka and RabbitMQ are common building blocks for Event-Driven Architecture, but they are not the architecture itself. Kafka is often used for durable event streams and replay, while RabbitMQ is often chosen for routing and task distribution. A good specialist chooses based on delivery guarantees, ordering, and operational needs.
Look for clear event boundaries, a sensible naming scheme, and a plan for retries, schema changes, and monitoring. A strong EDA freelancer explains trade-offs in plain language and can show how they handled duplicates, ordering, and failures. You should also expect practical tests, not just abstract diagrams.
The average hourly rate of freelancers in Munich, Germany who have used Event-Driven Architecture in their recent projects is 108 €, which corresponds to a daily rate of about 864 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Event-Driven Architecture in their recent projects, 88% hold at least a Bachelor's degree, 63% hold at least a Master's degree, and 13% hold a doctorate.
On average, freelancers in Munich, Germany who have used Event-Driven Architecture in their recent projects have 18 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 Event-Driven Architecture in their recent projects are German (100%), English (100%), and Spanish (25%).
The most common industries among freelancers in Munich, Germany who have used Event-Driven Architecture in their recent projects are Information Technology (100%), Automotive (75%), and Media and Entertainment (63%).
The most common business areas among freelancers in Munich, Germany who have used Event-Driven Architecture in their recent projects are Information Technology (100%), Product Development (100%), and Operations (88%).
Main locations of FRATCH Experts, who have recently used Event-Driven Architecture
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.
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Philipp Thomaschewski
FRATCH CEO
