Debezium Experts in Germany
for reliable change data capture, matched in minutes with vetted professionalsHire experts who capture database changes, connect Kafka-based event streams and keep data platforms synchronized across services. FRATCH matches you quickly and precisely with vetted, available freelancers for remote or on-site work in Germany.
Meet FRATCH Experts in Germany, who have recently used Debezium
Ali A.
Last position:
Founder & Architect at Independent AI R&D
- Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
- GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
- AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner
Alexander Z.
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.
Benjamin S.
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 G.
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 P.
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 B.
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
Asad K.
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%.
Discover over 15,000 top freelancers
Statistics of experts using Debezium
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
1.6 years
Positions per freelancer
11
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 19 Sep 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Debezium 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 (57%)
- Banking and Finance (43%)
- Media and Entertainment (43%)
- Telecommunication (43%)
- Transportation (29%)
- Retail (29%)
- Education (14%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Change capture
Debezium is an open-source change data capture platform built around Apache Kafka and Kafka Connect. It reads transaction logs from supported databases and publishes row-level changes as events, instead of relying on repeated queries or application-side tracking. Teams use it to move data reliably between operational systems and event-driven services.
Database sources
Debezium connects to systems such as PostgreSQL, MySQL, MariaDB, SQL Server, Oracle and MongoDB through dedicated connectors. Each connector handles source-specific log formats, snapshots, schemas and offsets. Strong specialists understand transaction boundaries, primary keys, schema changes and the operational limits of each database.
Kafka ecosystem
A Debezium project usually includes more than a connector configuration. Relevant tooling can include Apache Kafka, Kafka Connect, Schema Registry, Kafka Streams, ksqlDB, Kafka Connect converters and Kubernetes deployments. Professionals may also work with Avro, JSON or Protobuf serialization, observability tools and dead-letter handling.
Typical deliveries
- Stream database changes into analytics, search or customer-facing services
- Synchronize microservices without tightly coupling their databases
- Build near-real-time data pipelines for reporting and operational workflows
- Migrate or replicate data while preserving a dependable change history
- Configure snapshots, filtering, routing, retries and schema evolution
When to bring expertise
Companies often engage freelance specialists when a proof of concept must become a production pipeline, when a database migration needs controlled replication, or when event delivery is unreliable. Warning signs include duplicate events, missing records, connector restarts, unplanned topic growth or unclear ownership of schemas. In Germany, remote collaboration is common, while regulated or complex environments may still require on-site workshops and German-language coordination.
Quality signals
A strong professional tests failure recovery, offset behavior, transaction ordering and schema compatibility rather than only demonstrating a working connector. They document replay and backfill procedures, secure credentials, monitor lag and define ownership across databases, Kafka and consuming services. They should also explain when Debezium is appropriate and when a simpler export, application event or managed replication service is safer.
Frequently asked questions
Curious about Debezium? Here are the answers that come up again and again.
Debezium is used for change data capture: it turns inserts, updates and deletes from database transaction logs into events. Those events can feed Kafka topics, analytics systems, search indexes, caches and independent services with low latency.
Debezium reads committed changes from database logs, so applications do not need to poll tables repeatedly or add triggers to every write path. Compared with polling, it can preserve ordering and reduce query load; compared with triggers, it keeps capture logic outside the application transaction path.
A strong Debezium specialist usually understands Apache Kafka, Kafka Connect, schema management and the source database involved. Useful adjacent skills include Kubernetes, infrastructure as code, observability, stream processing, data security and the consuming application’s integration patterns.
The right Debezium experience depends on the risk and scope of the pipeline, not on a fixed duration. A small proof of concept may need connector and Kafka knowledge, while production replication calls for experience with snapshots, failures, schema evolution, recovery and database-specific behavior.
Debezium projects are often suitable for remote collaboration because configuration, testing and monitoring can be handled through shared repositories and environments. On-site sessions may help with database access, migration planning or regulated operations, and German-language communication can matter when several local teams are involved.
Debezium provides connectors for widely used systems including PostgreSQL, MySQL, MariaDB, SQL Server, Oracle and MongoDB. The suitable connector depends on the database version, available log access, deployment model and the project’s requirements for snapshots and schema changes.
Ask how the Debezium specialist handles connector restarts, duplicate delivery, offset recovery, transaction ordering and schema changes. Quality work includes automated tests, clear monitoring for lag and failures, secure configuration, documented replay procedures and an explicit approach to backfills.
Debezium may be unnecessary when data can move through a simple scheduled export, a native database replication feature or an application event with clear ownership. It can also be a poor fit if transaction-log access is unavailable, the target only needs periodic snapshots or the team cannot operate Kafka and its surrounding components.
The average hourly rate of freelancers in Germany who have used Debezium in their recent projects is 94 €, which corresponds to a daily rate of about 750 € 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 1.6 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
