Apache Kafka Experts in Stuttgart
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Meet FRATCH Experts in Stuttgart, who have recently used Apache Kafka
Sercan Tatar
Last position:
Co-Founder & Lead Software Architect at Pflege-Pfad
- Focus: system architecture, cloud-native platforms, microservices, API design
- Product: Pflege-Pfad is a digital matchmaking platform that connects relatives of people in need of care directly with verified care services and caregivers - without an agency and without ongoing fees.
- Business analysis & process design:
- Analysis of the German care market and identification of the key pain points of both target groups.
- Modeling of the core business processes: registration, verification, care request, application, placement, and rating.
- Definition of the business model as a freemium/premium model with optional contact unlocking.
- Creation of user stories and requirements documentation for relatives, care services, and administrators.
- Design of trust and quality assurance mechanisms with document upload, admin review process, and rating system.
- Coordination with stakeholders and validation of product decisions with potential users.
- Technical implementation:
- Design and implementation of the entire platform architecture as a solo developer.
- Design and implementation of a REST API with Spring Boot and Kotlin, including JWT-based authentication.
- Development of the frontend as a single-page application with Angular 17.
- Implementation of the AWS infrastructure with EC2, RDS PostgreSQL, S3, CloudFront, and IAM.
- Document upload with AWS S3 via presigned URLs for verification of care services.
- Email notifications via Resend API.
- AI-supported care service search via OpenAI API.
- Implementation of complete user flows such as registration, login, password reset, and placement process.
- Building an admin panel for user and care service management as well as analytics.
- CI/CD with GitHub Actions and containerized deployments with Docker.
- End-to-end tests with Playwright.
Technologies: Kotlin, Spring Boot 3, Spring Security, JWT, JPA/Hibernate, PostgreSQL, Angular 17, TypeScript, RxJS, AWS (EC2, ECS, S3, CloudFront CDN, RDS PostgreSQL, IAM), nginx, GitHub Actions, Playwright, Maven, Git, OpenAI API, Resend API, Docker, Scrum, i18n (DE/EN/TR), Kiro, feature-flag architecture.
Salim Chehab
Last position:
Cloud / Systems Architect
- Development and introduction of operational processes
- Preparation of complete documentation packages (including emergency management and operations) to meet compliance requirements
- Introduction of a workshop on IaC (Infrastructure as Code)
- Professional consulting for the project's security concept (ISMS)
- Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
- Design of hybrid cloud architecture (on-prem, Hetzner, AWS)
- Analysis and resolution of incidents and system outages
- Network changes to firewall rules, gateways, OpenVPN settings, and IPsec tunnel (pfSense)
- Professional consulting on BitBucket, Jenkins, and GitLab CI/CD pipelines
- Consulting on Ansible deployments and infrastructure automation
- Consulting on building a scalable system in the cloud (AWS / Azure)
- Technologies / Tools: Ansible, Terraform, AWS, Azure, VPN, pfSense, Jenkins, Bitbucket, Kubernetes, GitLab Runner, ISMS, Golang, Prometheus, Grafana, S3, Lambda, RDS, ECS, Cognito, OIDC, Harbor, MinIO, Postgres, Redis, Keycloak, Ceph, Proxmox, CloudFormation, PostgreSQL, Flux CD, Hetzner, IONOS, Sonatype Nexus Repository, Entra ID, Dex IdP, Pulumi
Artyom Narimanyan
Last position:
AI Automation Engineer & Solution Architect at Technology Research Project
Designed and developed an AI-powered automation platform using n8n to analyze social media niches, identify target audiences, and automate marketing strategy generation. The solution combined AI agents, workflow orchestration, and data analysis to automate research processes and generate data-driven insights.
- Designed and implemented complex automation workflows using n8n
- Developed AI-powered analysis agents for market and audience research
- Integrated multiple APIs and AI services into automated workflows
- Built automated market, competitor, and target audience analysis pipelines
- Leveraged Large Language Models (LLMs) for information summarization, classification, and prioritization
- Containerized and deployed the platform using Docker
Technologies: n8n, AI Agents, OpenAI APIs, Prompt Engineering, LLMs, Docker, Linux, REST APIs, Webhooks
Will Orrantia
Last position:
Solution Architect at Stuttgart Police Authority
Designing the migration strategy for WLS applications to the BKA cloud and Stack IT
Creating a hybrid cloud for internal testing and development with Kubernetes
Transforming the IT landscape from a legacy monolithic architecture to a cloud-based architecture
Integrating new CI/CD processes using Azure Pipelines
Quadrupled the throughput of personnel security checks
Migrated personnel security clearance applications to Docker-based applications
Built CI/deploy pipelines with Azure DevOps
Environment: Java Spring Boot, Kubernetes, Oracle WebLogic, OpenID, Camunda, JUnit, TOGAF
Lothar Hinsche
Last position:
Solution Manager for PoC investigation and for replacing and refining an existing cloud and IoT power plant control system at Shell AG and NEXT Kraftwerke GmbH
- Investigating the PoC and replacing and refining an existing cloud and IoT power plant control solution for certificate management of renewable energy plants (solar, wind, biomass, etc.) for the largest European renewable energy network operator, including examining the field IoT devices and their integration and network connections, aiming for automated PKI key management.
- Messaging with Kubernetes for large API-connected enterprise applications
- Risk and attack vector analysis, software quality & bug assessments
- Agile workload scheduling via Jira & Confluence
- Evaluation of pub/sub message streams for MQ and Kafka.
- Various tests with “best design approaches” for resilience patterns like circuit breaker designs, throughput measurement and monitoring, bulkhead governors – for robust EA design
- Integration of API management with IBM's API Connect to Kubernetes for platform-agnostic microservices API management designs. Google Apigee
- Solution health check approaches for load burst situations + remedy
- Research and evaluation of potential sub-service providers in the coordinating role as solution manager. CIS20 controls.
- DREAD and STRIDE security assessments.
Achille Chimi
Last position:
Backend/Frontend Developer at ITZ-Bund
Development of a microservice application for calculating postings on accounts
Development of backend components with Java or JEE, Quarkus, Kafka, Rest API
Development of the test component with mocking frameworks (Mockito)
Development of integration test components
Creation of OpenAPI specification format
Configuration of CI/CD pipeline
Development of frontend components with React
Design, further development and optimization of system structures
Code review
Java Corretto 21, JEE, Quarkus, Golang
Reactive programming with Spring WebFlux, Project Reactor
Git, Azure DevOps for CI/CD pipeline, YAML, Json Swagger UI, Postman, Rest OpenAPI, Kafka Streams, Kafka Connect, Log4J
Microservices, Jira, Confluence, MySQL, Docker, Kubernetes (deployment via Helm charts)
Spring Security, OAuth 2, JWT, Sonarqube
IntelliJ, Maven, logging framework Splunk, Agile method Scrum, Nexus, Vaadin V24, build tool Vite
React, React.JS, Node.js, Jess/JavaScript, Tailwind CSS, Agile method Scrum, accessibility BITV, Playwright
Benjamin Schaich
Last position:
Design and implementation of a new cloud service at Porsche AG
- Design of a new cloud service
- Requirements Engineering
- API Design (REST API, Kafka)
- Consulting on architecture, feasibility and effort estimation
- Implementation of a microservice architecture
- Implementation of a Spring Boot web service
- Development of REST APIs including business and persistence logic
- Kafka consumers and producers
- Various Excel upload/download scenarios
- Change Data Capture
- Cloud provisioning with IaC/Terraform
- Go-live with 30,000 users
- Operation, support and bug fixing for other services
Environment/tools: GitLab, JIRA, Confluence, IntelliJ, Spring Boot, Java, Docker, Terraform, AWS ECS, Postgres, Apache Kafka, SAP Datasphere, JUnit, Debezium, Apache POI, Hibernate, JPA, Testcontainers
Marcel Schmidt
Last position:
Technical Lead / Lead Developer at REWE digital
- Due to an organizational restructuring towards product-based teams, the implementation of a Data Mesh in the area of Digital Supplier Management (DSM) was decided.
- A highly available real-time Data Mesh for providing large volumes of data via Kafka and REST to other products.
- New development of a core supplier management software in a (micro-)service-based architecture with a modern tech stack.
- Technologies/Tools:
- Java 21
- Spring Boot
- Angular
- TypeScript
- Go
- MapR
- Kafka
- Docker
- Google Cloud Platform (GCP)
- Kubernetes
- Helm
- GitLab CI
- Maven
- JUnit
- Mockito
- WireMock
- Cypress
- Keycloak
- OAuth 2.0 & OpenID Connect
- Humio
- Nexus
- Artifactory
- SonarQube
- Renovate
- Git
- Postman
- IntelliJ
Ivan Greguric-Ortolan
Last position:
Technical Lead at Porsche Digital GmbH
- Contributed to the design of the new financial services integration layer and moderated the architectural discussions
- Oversaw the security concept and approval of the application
- Prepared infrastructure setup and best practices for the Kotlin backend
Ahmed Fikri
Last position:
Senior Lead Engineer (Freelance) at Atruvia AG
- Development of a wealth management application for investing in foreign currencies
- Full-stack development with Angular, Spring Boot, OpenShift, Oracle DB, Kafka
- Design and implementation of a microservice architecture
- Integration into Atruvia's BWS system and connection of multiple interfaces between Atruvia and DZ Privatbank
- Greenfield development of the application from the ground up
- Technical responsibility for architecture and interface design
- Close collaboration with business units and external stakeholders
Discover over 15,000 top freelancers
Statistics of experts using Apache Kafka
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 18 years)
Position duration
1.5 years (Germany: 2.7 years)
Positions per freelancer
14 (Germany: 13)
Top business areas
Information Technology, Product Development, Operations
Top industries
Automotive, Information Technology, Banking and Finance
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 91%)
Master's degree or higher
50% (Germany: 55%)
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 98%)
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 Stuttgart 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 Stuttgart using Apache Kafka
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 streaming
Apache Kafka is built for event streaming: moving data as events between services, apps, and data systems. Teams use it for live order flows, tracking, alerts, logs, and integration across microservices. Strong experts keep the stream reliable under load and make sure events stay useful downstream.
Typical work
- Topic design and partition strategy
- Producer and consumer integration
- Schema management with Avro or JSON Schema
- Stream processing with Kafka Streams or ksqlDB
- Connectors for databases, search, and data lakes
Ecosystem
Apache Kafka rarely stands alone. It often sits with Schema Registry, Kafka Connect, Kafka Streams, ksqlDB, and cloud services that run the brokers or handle security. Experts should know how these parts fit together, not just how to send a message.
When to bring in help
Companies bring in freelance Kafka specialists when a stream becomes hard to scale, messages are late, or consumers break after a change. This is common in Stuttgart teams working with automotive data, manufacturing systems, logistics, and other event-heavy environments. It also helps when the team needs clear patterns for retries, ordering, and fault handling.
What good specialists do
Good professionals think about data contracts, delivery guarantees, retention, and recovery from the start. They know how to spot bad topic design, weak key choices, and consumer lag before those problems grow. They also write clean runbooks so operations teams can support the platform.
Delivery focus
A strong Kafka expert can review architecture, fix production issues, and guide new platform work without overcomplicating it. They should explain trade-offs clearly, work well with backend, data, and infrastructure specialists, and leave behind systems that are easier to maintain. In Stuttgart, smooth collaboration in English and German is often valuable for mixed teams.
Frequently asked questions
Curious about Apache Kafka? Here are the answers that come up again and again.
Apache Kafka is used to move events between systems in real time. Companies use it for service communication, change data capture, log pipelines, monitoring flows, and data integration where batch jobs are too slow. It fits especially well when many services need the same event stream.
Kafka is usually chosen when event history, replay, and high-throughput streaming matter more than simple point-to-point messaging. RabbitMQ and similar brokers can be better for short-lived queue patterns and task dispatch. The right choice depends on whether you need a durable event log or just message delivery.
A strong Apache Kafka specialist usually knows data modeling, distributed systems basics, and Java or Scala. They should also understand schema evolution, Linux, networking, and security topics such as authentication and access control. For many projects, experience with cloud platforms and containerized operations helps a lot.
A small proof of concept may only need someone who has set up topics and consumers before. Production work needs a specialist who has handled scaling, failure recovery, and operational support. Kafka projects tend to fail when the team treats the stream as a simple queue.
Yes. Apache Kafka work is often done well remotely because design reviews, troubleshooting, and code changes can happen online. In Stuttgart, some teams still prefer on-site sessions for architecture workshops or handover, but remote collaboration is common for ongoing delivery.
Look for growing consumer lag, unclear topic ownership, duplicated events, or frequent fixes around failed retries. Kafka experts are also useful when teams disagree on partitioning, retention, or schema rules. If operations is spending too much time on the stream, outside help can reset the design.
A good Kafka professional can explain the system in plain words and make trade-offs visible. Look for clear topic naming, sensible partition keys, careful schema changes, and a plan for monitoring and recovery. The best sign is a platform that stays understandable after the first release.
Apache Kafka is the open source project name. Confluent Kafka refers to the commercial ecosystem around it, with extra tooling and managed services. Many people search for both names, so a strong specialist should understand the open source core and the surrounding platform options.
The average hourly rate of freelancers in Stuttgart, Germany who have used Apache Kafka in their recent projects is 107 €, which corresponds to a daily rate of about 856 € based on an 8-hour working day.
Of the freelancers in Stuttgart, Germany who have used Apache Kafka in their recent projects, 100% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Stuttgart, Germany who have used Apache Kafka in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Stuttgart, Germany who have used Apache Kafka in their recent projects are German (100%), English (100%), and Spanish (30%).
The most common industries among freelancers in Stuttgart, Germany who have used Apache Kafka in their recent projects are Automotive (100%), Information Technology (90%), and Banking and Finance (80%).
The most common business areas among freelancers in Stuttgart, Germany who have used Apache Kafka in their recent projects are Information Technology (100%), Product Development (90%), and Operations (70%).
Main locations of FRATCH Experts, who have recently used Apache Kafka
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 
Dusseldorf 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
