Apache Kafka Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used Apache Kafka
Mohamad K.
Last position:
Senior Backend Developer at Standing on Giants
- Led architecture and end-to-end engineering delivery for community-driven SaaS platforms serving 2M+ monthly active users.
- Architected and led the migration of a monolithic Python/FastAPI and PostgreSQL database and LangChain with codebase to an event-driven microservices architecture on AWS EKS, sustaining 10x traffic growth from ~150 RPS to 1,500+ RPS with zero re-architecture cycles.
- Defined and enforced engineering standards across services including API contracts, observability baselines, and deployment topology, reducing production incidents by 55% and MTTR from 2 hours to under 25 minutes within 9 months.
- Redesigned the caching and query layer using multi-tier Redis caching and database indexing/partitioning, cutting p95 API latency from 850ms to 180ms (78% reduction) and database CPU load by 45%.
- Built CI/CD platform on GitHub Actions, Terraform, and Kubernetes (EKS) with blue-green and canary rollouts, increasing deployment frequency from ~2/month to 8-12/day and reducing lead time from 10 days to under 6 hours.
- Implemented contract testing, automated load testing, and observability SLOs using Prometheus, Grafana, and OpenTelemetry, raising platform availability from 99.5% to 99.95% (10x reduction in error budget burn).
- Led and grew a cross-functional team of 8 engineers across backend, frontend, and DevOps, scaling headcount from 4 to 8 with 85% retention; owned hiring, onboarding, performance reviews, and career development.
- Partnered with Product, Design, and Client Success leadership as primary technical decision-maker; translated business goals into technical roadmaps and drove build-vs-buy decisions on authentication, search, and AI tooling.
- Introduced AI-assisted development workflows including automated code review and a RAG-based internal knowledge assistant using Graph (GraphRAG, Neo4J), increasing sprint throughput by 30% across two quarters.
- Owned incident command and production support rotation; established runbooks, postmortem culture, and on-call SLOs, reducing weekend paging incidents by 70%.
- Developed and optimized Algorithms using python libraries like Numpy and Pandas.
Christoph P.
Last position:
ICT DevSecOps Engineer & Security Coordinator at Abraxas Informatik AG
- Interface role with the SOC team; improved incident response time by 45% through structured escalation processes and proactive security monitoring.
- Defined technical standards for a multi-tenant enterprise platform (10+ services), resulting in a 30% shorter onboarding time for new clients in the public sector.
- Active knowledge transfer and mentoring of a 6-person team; increased team autonomy and established a sustainable engineering culture.
- Reduced time to market by 50% by optimizing CI/CD pipelines and establishing self-service deployments.
- Stack: GitLab CI/CD, Kubernetes, Nexus, Harbor, ArgoCD, HashiCorp Vault, Grafana, Python, PostgreSQL, Java, Spring Boot, Flyway, Quarkus, JBoss, Loki, Go, Kafka, Kustomize, MongoDB
Piotr S.
Last position:
CTO Program Manager, Theme Owner / Senior Project Manager at Avaloq Group AG
- Clients: Central banks of the most developed economies in the world, German, Swiss, Luxembourgish, Monegasque, Singaporean, Japanese wealth managers and universal/private banks, world’s largest investment banks
- Accountable for managing the delivery of a portfolio of digital wealth and consumer relationship management initiatives
- Project managing portfolios of projects within CTO product and technology business area (cyber security, architectural changes, re-organisational transformation, 3rd party apps)
- Products: Kernel & Parametrisation for Core Avaloq Banking Platform; modules: CRM, client data management, wealth management, portfolio management (generating over 90% of company revenues)
- Key responsibilities:
- Reporting to Head of Disruptive Innovation Division; stakeholder to five product owners & two domain owners
- Accountable for delivery of annual themes and quarterly key deliverables
- Managing demand vs supply via QBR process: book of work, execution, reporting, risk management
- Directly managing around 40 external consultants (front-end/back-end engineers, BAs, designers)
- Hiring and managing resources in eight countries
- Running quarterly divisional closure meetings presenting achievements and challenges
- Resolving cross-team dependencies and internal/external conflicts
- Owning and controlling maintenance budget; planning, forecasting, execution; ensuring demand matches supply
- Identifying and staffing key roles with chapter leads
- Approach: Agile, Scrum of Scrums, QBR/OKRs
- Technology: Angular, PL/SQL, JavaScript, Confluence, JIRA (JQL)
Ursula M.
Last position:
Business Mentor at RoleModel Rebels
- Mentor female students and professionals in advancing their careers, particularly as aspiring tech entrepreneurs.
Stefan H.
Last position:
Fullstack Development, Product Owner & Tech Lead at Trex AG
- Business analysis, architecture, and implementation of a telemedicine platform for pet owners.
- Leading the development team as Product Owner and Tech Lead.
- Introducing agile processes, setting up development guidelines and system documentation.
- Planning and implementing features like video calls, live chat, and marketing automation.
- Implementing AI-based features such as automated tagging of information (missing pet reports, marketplace entries, etc.), preparation of social media content, and processing of conversation transcripts.
- Skills: Angular, NGXS, Tailwind, Java, Spring Boot, Kubernetes, Docker, CI/CD, MySQL, LLMs, RAG, MCP, Redis, OpenSearch.
- Industry: Veterinary medicine.
Fabian K.
Last position:
Lecturer at HWZ University of Applied Sciences
- Co-teach in CAS AI Management and CAS AI Innovation programs for future AI managers
- Cover topics including data platforms, AI architecture, technology adoption foundations, and factors influencing enterprise AI initiative success
Yuri G.
Last position:
Senior Security Devops Engineer at Swisscom
- Implementation and maintenance of highly critical IAM solutions for B2B clients (SSO, MFA, SAML/OIDC, Entra ID, PIM/PAM)
- Security administration of Linux systems (CentOS, Red Hat) in Docker and Kubernetes environments
- Migration from Docker Swarm to Kubernetes
- Infrastructure automation with Terraform
- Planning and execution of risk assessments, threat modeling, and compliance reports
- Development and management of B2B applications (Java, REST/SOAP, Angular) and CI/CD pipelines (Python, Ansible, Jenkins, GitLab)
- Leading integration tests and UAT (Cucumber, Selenium, Katalon)
- Implementing monitoring and observability strategies with Grafana, Prometheus, and Splunk
- Integrating SAST tools like Snyk and SonarQube
- Release management and project coordination according to Scrum and SAFe
- Mentoring and technical support of junior team members
Csaba K.
Last position:
ServiceNow Consultant at DXC
- Worked in mixed teams with several clients
- Performed requirement engineering, proposal and time estimation
- Developed ACLs, business rules, flows, workflows, catalog items, various scripts, UI actions, policies, scoped applications
- Customized mobile apps: Now Agent and Now Mobile
- Implemented integrations using the Integration Hub
- Coordinated continuously with clients during development
- Performed testing and helped clients with testing
- Deployed to production and applied main version upgrades and patches
- Managed CMDB, domain separation and asset management
- Integrated between instances at different clients
- Developed GlideScript: business rules, scripted REST endpoints, extension points, fix scripts, background scripts
Mathias D.
Last position:
Independent contractor at Allianz-Technology
- Developed a massive web application for second pillar retirement insurances (Swiss BVG, Kollektivleben) with over 1000 web pages using an in-house model language and Angular for front-end and back-end
- Fixed bugs in the code generator and enhanced and re-engineered the application
- Built an automated testbed
- Implemented PDF document generation with XML and Thunderhead
- Resolved issues due to the switch to Java 21
- Replaced middleware server for insurance base data (customers, contracts) using Java/Spring, REST, OpenAPI, Docker, Kubernetes, OpenShift, Azure CI/CD pipeline, Jenkins, and GitHub
Ferran S.
Last position:
Senior Software Engineer at Personal time off / Private projects
- Took on and completed private/organizational projects.
- Continued self-training, e.g., in cloud and reactive architectures.
- Focused deepening of knowledge in areas like Kafka and modern Java 17 enterprise architectures.
Karl E.
Last position:
incl. CI/CD, automation at AALS Software AG
- Designed and delivered a practical real-time course on Flink and Hadoop with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, and Kafka
- Gained extensive DevOps and CI/CD experience
- Created ETL/ELT pipelines with Apache tools and Pentaho
- Led projects in municipal software, financial services, and big data with Kafka
- Developed AI/NLP models and chatbots with RASA, Chatter, and Dialogflow
- Built and managed a TypeDB knowledge database
- Worked with OpenStack, Kubernetes, and Podman
Nenad T.
Last position:
Contractor at Swisscom
- SAP Data Designer ETL, SQL Server, Docker for PharmaSuisse Data Warehouse Application (Application Manager and Developer)
- SAP Business Objects, ABAP on SAP HANA for the Police of the Canton of Bern (Application Manager and Developer)
- Avaloq Connectors to SAP BW for Banque Cantonale de Fribourg
Milica M.
Last position:
Full-Stack Developer at Holycode
- Contribute to a cross-functional team building a cloud-based bookkeeping platform for SMEs
- Design and implement Java Spring Boot microservices with clear separation of concerns
- Integrate core services via REST and gRPC APIs
- Implement event-driven workflows using RabbitMQ for reliable, decoupled messaging
- Model and manage transactional data in PostgreSQL and leverage Redis for caching
Discover over 15,000 top freelancers
Statistics of experts using Apache Kafka
Aggregated from the professional profiles of matched freelancers.
Experience
23 years
Position duration
2.3 years
Positions per freelancer
14
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Government and Administration
Certification focus areas
Information Technology, Product Development, Research and Development
Bachelor's degree or higher
100%
Master's degree or higher
82%
Certifications per freelancer
3
Most common languages
English, German, French
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 Switzerland 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 Switzerland 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Apache Kafka 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%)
- Banking and Finance (92%)
- Government and Administration (62%)
- Healthcare (54%)
- Insurance (54%)
- Professional Services (54%)
- Education (46%)
- Media and Entertainment (46%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Event streaming foundation
Apache Kafka is a distributed event streaming platform for moving data between services and systems in real time. Companies use it to publish, store, process and consume streams of events without tightly coupling every application. Kafka supports durable event logs, asynchronous workflows and data flows that must remain available as systems change.
What Kafka builds
Kafka appears in customer activity tracking, payment workflows, logistics updates, IoT pipelines and operational analytics. It can connect transactional systems with data platforms while preserving event history for replay and audit needs.
- Real-time data pipelines between applications
- Event-driven microservice communication
- Streaming analytics and monitoring feeds
- Change data capture and system integration
Ecosystem and tooling
A strong Kafka setup may include Kafka Connect for integrations, Kafka Streams for application-level processing and Schema Registry for controlled data contracts. The wider ecosystem often includes Confluent Platform, ksqlDB, Apache Flink, Spark, Debezium and cloud-managed Kafka services. Specialists also work with containers, Kubernetes, Java, Scala, Python and observability tools.
When companies need help
Freelance expertise is useful when a team is introducing event-driven architecture, replacing fragile point-to-point integrations or stabilising an existing cluster. Switzerland-based organisations in finance, manufacturing, healthcare, retail and logistics may also need specialists who can collaborate remotely or on site and communicate clearly with local teams.
- Kafka cluster design and migration
- Topic, partition and replication planning
- Production incident analysis
- Connectors, schemas and stream processing
Delivery and operations
Kafka requires careful choices around partitioning, ordering, retention, consumer groups and delivery guarantees. Professionals configure security, access control, encryption, capacity planning and failure recovery, then connect these decisions to the requirements of each service and data flow. They should also make deployments repeatable through infrastructure and automation practices.
What strong specialists bring
The best professionals explain trade-offs instead of treating Kafka as a universal queue. They can trace an event from producer to consumer, diagnose lag and rebalance behaviour, and distinguish application faults from broker or network issues. Look for hands-on production ownership, clear documentation, disciplined schema evolution and practical testing of recovery scenarios.
Frequently asked questions
Not sure where to start with Apache Kafka? These answers cover the essentials.
Apache Kafka is used to transport and store streams of events between applications and data systems. It supports real-time integrations, event-driven services, operational analytics, change data capture and workflows that need durable, replayable records.
Kafka is designed around a durable, distributed event log that multiple consumer groups can read independently. Traditional queues often focus on handing a message to a worker and removing it, while Kafka is better suited to replayable streams, high-throughput integration and several downstream consumers.
Apache Kafka work often overlaps with Java, Scala, Python, Kubernetes, cloud infrastructure and Linux operations. Useful adjacent knowledge includes Kafka Connect, Kafka Streams, Schema Registry, Debezium, Apache Flink, observability and infrastructure automation.
Kafka projects differ greatly in risk and scope, so a fixed experience threshold is not useful. For production work, look for evidence of designing topics and partitions, managing consumer groups, securing clusters, handling failures and explaining trade-offs in a comparable environment.
Apache Kafka projects can usually be delivered remotely when access, documentation and incident procedures are well organised. On-site collaboration may help during migrations or operational handovers, while language expectations should be agreed around the team’s working language and stakeholders.
Kafka is a strong fit when several systems need a durable stream of business events or when producers and consumers must evolve independently. A database or direct API may be simpler for request-response workflows, small integrations or data that does not need replay and continuous processing.
Apache Kafka quality shows in precise questions about event ownership, ordering, retention, partition keys, schemas and failure recovery. Ask a specialist to explain an architecture, review monitoring signals and describe how they would test lag, rebalancing, retries and data-loss risks.
Kafka specialists often inherit unclear topic ownership, inconsistent schemas, consumer lag or fragile deployment processes. They should expect to inspect broker and application configuration, trace data flows, align with platform and application teams, and improve reliability without disrupting active consumers.
The average hourly rate of freelancers in Switzerland who have used Apache Kafka in their recent projects is 104 €, which corresponds to a daily rate of about 831 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Apache Kafka in their recent projects, 100% hold at least a Bachelor's degree and 82% hold at least a Master's degree.
On average, freelancers in Switzerland who have used Apache Kafka in their recent projects have 23 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Switzerland who have used Apache Kafka in their recent projects are English (100%), German (85%), and French (46%).
The most common industries among freelancers in Switzerland who have used Apache Kafka in their recent projects are Information Technology (100%), Banking and Finance (92%), and Government and Administration (62%).
The most common business areas among freelancers in Switzerland who have used Apache Kafka in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (54%).
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.
Zurich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
