Debezium Experts in Germany
matched in minutes from vetted, available specialistsWork with specialists who design CDC pipelines, connect databases to Kafka, and keep change event flows stable across Debezium, Kafka Connect, and schema management. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Debezium
Ali Aminian
Last position:
Platform Engineer & Software Architect at Yatta GmbH
- Architected the Yatta Integration Layer – a config-driven integration platform on Java 25, Spring Boot 4 (WebFlux), Temporal, gRPC and Kafka, enabling new third-party integrations (e.g. AVS fulfillment) via declarative JSON configs with zero code changes.
- Designed and implemented Tink integration with 0Auth IBAN verification to enhance fraud prevention and account validation workflows with Adyen payByBank.
- Architected and implemented an OpenFGA-based authorization model for centralized management of users, groups, and fine-grained access control in the vendor portal.
- Architected and led delivery of the Yatta API Gateway platform using GraphQL Federation, providing a unified enterprise API layer across distributed microservices with centralized authentication, authorization and request orchestration.
- Replaced NGINX + NLB with Istio service mesh and AWS ALB; rolled out WAF, OAuth (Cognito), IP whitelisting and RBAC across environments.
- Migrated CDC from Confluent Cloud connectors to a self-hosted Kafka Connect + Debezium stack, reducing operational cost by ~80% across multiple environments.
- Implemented the Transactional Outbox pattern with Debezium for reliable, exactly-once event publishing to Kafka with Avro and Schema Registry.
- Migrated dunning/payment-recovery workflows from Airflow to Temporal, achieving 99.9% reliability for settlement handling.
- Optimised Apache Airflow with deferrable sensors to handle 1000+ concurrent DAG runs without scaling the worker pool.
- Refactored a monolithic Terraform codebase into 3 modular projects, cutting deployment time by ~45%.
- Stood up full observability with OpenTelemetry, Tempo, Prometheus and Loki; automated dev/staging/prod with ArgoCD, Image Updater and Helm.
- Collaborated with product, operations and engineering stakeholders to define scalable platform architecture and integration standards aligned with long-term business and operational goals.
Alexander Zhirov
Last position:
Senior Data Solutions Engineer at VMware Inc.
- Architected and deployed private cloud data platform on VMware vSphere, integrating Greenplum MPP, Apache Kafka, Kubernetes, and Apache Solr, and developed real-time ingestion pipelines with Kafka Connect and Schema Registry.
- Led Oracle Exadata to Greenplum migration, rearchitected data models, optimized storage, implemented RabbitMQ with Debezium for CDC, and deployed VectorDB for Generative AI.
- Designed and executed multi-cloud migration PoC across AWS, Azure, and GCP, defined KPIs for throughput, latency, and cost efficiency, executed bulk data transfers, validated analytics and streaming workloads, and delivered full-scale architecture recommendations.
- Assessed legacy on-premises infrastructure and designed modern cloud-native data platforms using Greenplum and containerized microservices, advising on scalability, disaster recovery, and high-availability.
Asad Karim
Last position:
Senior AI Developer at Neuland.ai AG
- Architected and deployed a production-scale GraphRAG system using Neo4j, embeddings, and multi-hop reasoning over 120M+ nodes, improving answer precision by 32%, reducing hallucinations by 41%, and lowering retrieval latency by 38%.
- Designed and implemented an enterprise agent ecosystem using Model Context Protocol (MCP), exposing internal APIs, databases, and services as secure callable tools for autonomous workflows and system integration.
- Designed and deployed a production LLM-based email routing agent using Microsoft Graph API, MCP, and Azure OpenAI, achieving 96% routing accuracy, reducing manual triage workload by 65%, and decreasing response times from 18 hours to under 4 hours.
- Implemented autonomous agent self-correction pipelines using iterative feedback loops (Ralph Wiggum), enabling reliable error detection, automated remediation, and production-safe execution.
- Developed a multimodal semantic search platform using multimodal LLMs and vector embeddings, enabling semantic discovery across 250k+ image and video assets and improving search recall by 48%.
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
Peter Großmann
Last position:
Senior Backend Developer at NetCom BW GmbH
- Development of microservices according to the TMF standard
- Adaptation of existing workflows to microservices (PNMGT, RADIUS, WBCI, ACS, VOIP, P2P)
- Migration of communication from RabbitMQ/REST to Kafka
- Development of Camunda processes for billing leased infrastructure
- Implementation of Kafka connectors for billing and inventory data systems
- Automation of the WBCI pre-coordination workflow
- Conducting unit, integration, and acceptance tests with business units
- Setting up CI/CD pipelines
- Troubleshooting support tickets
- Performing major refactorings of legacy code to adapt to new microservices
- Participating in meetings to gather and clarify requirements
- Technologies: Kubernetes, AWS DevOps, Apache Camel, Debezium, Python, TMF, Confluent, Kafka, OpenAPI, Java 21, Spring Boot, Docker, MapStruct, PostgreSQL, Maven, Camunda, Keycloak
Mark Plaatsman
Last position:
Full-Stack Software Developer, Product Data Import at Otto (GmbH & Co KG)
- Manage and operate the product data import services for the Otto merchant
- Enhance and maintain the backend systems
- Optimize and maintain AWS infrastructure
- Build a new product data import API
- Design and plan stories and features
- Conduct code reviews to ensure code quality and best practices
- Analyze and fix bugs
- Technologies: Java, Spring Boot, Kafka, AWS, Fargate, Terraform, MongoDB, Mongo Atlas, OpenAPI, GitHub, GitHub Actions, GitHub Copilot, Akhq, Debezium, JUnit, Test Containers, Hexagonal Architecture
Jürgen Bargmann
Last position:
Database Administrator and Performance Tuning Specialist at ALD Automotive Leasing Deutschland
- Database administration and performance tuning for Oracle databases on AIX 7.1, 7.2 with Oracle 12c and 19c
- Troubleshooting and resolution on RHEL 7
- Automation of operations with UNIX/Linux shell scripts, Perl programs, and PL/SQL
- Planning, preparation, execution, and customer-specific review of changes and upgrades for the LEASMAN and DOXIS applications
- Incident handling including communication with outsourcing service providers and business units
- Data exchange with Data Pump
- Visualization of database content and monitoring results
- Configuration of databases for Debezium and monitoring Debezium activities
- Preparation of Oracle databases for migration to cloud environments
- Implementation and monitoring of NIST requirements in databases
- Automation of release upgrades for the LEASMAN application
- Creation of operations manuals and instructions
- Generation of reports for GDPR information requests
Discover over 15,000 top freelancers
Statistics of experts using Debezium
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
1.8 years
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Operations, Product Development
Bachelor's degree or higher
71%
Master's degree or higher
14%
Certifications per freelancer
2
Most common languages
German, English, French
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 Germany 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 Germany using Debezium
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
Change data capture
Debezium is used for change data capture, often shortened to CDC. It reads database logs and turns inserts, updates, and deletes into streams that other systems can consume. That makes it a fit for event-driven systems, search indexes, caches, and analytics pipelines.
Common setups
- Stream MySQL, PostgreSQL, SQL Server, or MongoDB changes
- Publish events through Kafka Connect
- Feed downstream services with near-real-time updates
- Keep read models, search, and replicas in sync
In Germany, this often appears in data-heavy product teams, platforms with many internal services, and systems that need reliable integration between databases and Kafka.
What experts handle
Strong Debezium specialists know database logging, connector configuration, and message formats. They work with schema change handling, offset management, filtering, and routing so the stream stays usable. They also understand how to prevent duplicate events, missed changes, and broken consumers.
Ecosystem and tooling
Debezium usually sits in a wider stack with Kafka, Kafka Connect, Schema Registry, and the source database itself. Depending on the project, experts may also use Avro, JSON, or Protobuf, plus monitoring tools for lag, health, and connector errors. Debezium Server and Debezium Cloud are also part of the conversation in some environments.
When to bring in help
Companies bring in freelance expertise when they need a new CDC pipeline, a migration from polling jobs, or help after connector failures. They also look for specialists when source schema changes are risky, when the team lacks Kafka experience, or when a production stream in Germany must be stabilized quickly.
Good delivery
A strong professional does more than make the connector run. They document event contracts, test recovery paths, tune throughput, and explain trade-offs between source tables, topics, and downstream consumers. The result is a CDC setup that is predictable, maintainable, and ready for growth.
Frequently asked questions
Curious about Debezium? Here are the answers that come up again and again.
Debezium is used to capture database changes and publish them as events. Companies use it to keep services in sync, feed analytics systems, update search indexes, or replace fragile polling jobs. It is most valuable when the source database must stay the system of record.
Debezium reads the database change log, so it reacts to changes as they happen instead of checking tables on a schedule. Compared with polling, that usually means less load and better timing. Compared with classic ETL, it is better suited to streaming updates than batch transfers.
Debezium is commonly paired with Kafka and Kafka Connect, because that is where the captured events are usually delivered. It also works with source databases such as MySQL, PostgreSQL, SQL Server, and MongoDB. In many projects, schema handling and event format tools like Schema Registry, Avro, JSON, or Protobuf come with it.
A good Debezium specialist should understand Kafka, database internals, and event-driven architecture. Experience with schema evolution, connector ops, monitoring, and failure recovery matters a lot. If the project is sensitive, knowledge of the source database’s log model is especially useful.
Debezium work can start simple, but production setups need careful design. A small proof of concept may only need connector setup, while a live system often needs someone who has handled offsets, replays, schema changes, and consumer compatibility. The more critical the data flow, the more experience you want.
Yes, Debezium projects are often handled well remotely because most work happens in code, configuration, and testing. For sensitive production changes, some teams in Germany prefer a short on-site start or close overlap with local working hours. Clear access to logs, topics, and database details matters more than location.
A strong Debezium specialist can explain why a connector is configured a certain way and what happens during restart or schema change. They write down event expectations, monitor lag and failures, and think about downstream consumers, not just the source database. They also know when to keep the design simple.
Debezium helps when teams move data between old and new systems without freezing writes. It can feed the target side while the source system keeps running, which reduces cutover risk. This is why it is often chosen for migrations, sync jobs, and gradual modernization work.
The average hourly rate of freelancers in Germany who have used Debezium in their recent projects is 101 €, which corresponds to a daily rate of about 806 € based on an 8-hour working day.
Of the freelancers in Germany who have used Debezium in their recent projects, 71% hold at least a Bachelor's degree and 14% hold at least a Master's degree.
On average, freelancers in Germany who have used Debezium in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Germany who have used Debezium in their recent projects are German (100%), English (100%), and French (29%).
The most common industries among freelancers in Germany who have used Debezium in their recent projects are Information Technology (100%), Automotive (57%), and Banking and Finance (43%).
The most common business areas among freelancers in Germany who have used Debezium in their recent projects are Information Technology (100%), Product Development (86%), and Quality Assurance (71%).
Main locations of FRATCH Experts, who have recently used Debezium
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 Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
