Debezium Experts in Germany
matched in minutes with vetted, available professionals and the power of AIHire experts who capture database changes, design Kafka-based event streams and integrate CDC into reliable data platforms. FRATCH connects you with precisely matched, vetted and available freelancers for fast project delivery.
Meet FRATCH Experts in Germany, who have recently used Debezium
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.
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
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 workflow for WBCI preliminary coordination
- Execution of unit and integration tests as well as acceptance tests with the business departments
- Setup of CI/CD pipelines
- Error analysis for support tickets
- Execution of larger refactorings of legacy code to adapt it to new microservices
- Participation 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
Serhat K.
Last position:
Kafka issues in production at Fiverr client
Fiverr client
- Fixed consumer issues in a production Kafka environment.
- Analyzed consumer lag with Datadog.
- Added synthetic tests to detect issues early.
Stack: Kafka, Datadog, Consumer Groups
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
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
16 years
Position duration
1.6 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
75%
Master's degree or higher
13%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
100%
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Germany are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging 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 29 Oct 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 (63%)
- Banking and Finance (38%)
- Media and Entertainment (38%)
- Telecommunication (38%)
- Transportation (25%)
- Professional Services (25%)
- Retail (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Change Data Capture
Debezium is an open-source change data capture platform built around Apache Kafka and Kafka Connect. It reads committed changes from transaction logs and publishes them as structured events, so downstream systems can react without repeatedly polling source databases. This supports near-real-time data movement while keeping the source system’s business workload focused.
Supported Sources
Debezium connects to widely used relational and document databases, including PostgreSQL, MySQL, MongoDB, SQL Server and Oracle. Each connector handles source-specific log formats, snapshots, offsets and schema changes. Strong specialists understand the operational differences between these connectors and select settings that fit the database, workload and recovery model.
Event Ecosystem
A production setup usually combines Debezium with Apache Kafka, Kafka Connect, Kafka Schema Registry and stream-processing tools. Experts work with Avro, JSON or Protobuf events, topic design, serialization, retention and compatibility rules. They also connect change events to warehouses, search indexes, caches, microservices and data lake pipelines.
Typical Projects
- Replicate operational data into analytics and reporting environments
- Keep search indexes, caches and services synchronized with source databases
- Modernize monoliths through event-driven integration
- Build audit, monitoring and data distribution pipelines
Debezium can also support migration projects, dual-running systems and incremental data product delivery. The right design avoids turning every database change into an uncontrolled stream of tightly coupled consumers.
When Specialists Help
Companies bring in freelance expertise when CDC must be introduced without disrupting a critical database, or when an existing pipeline loses events, creates duplicates or falls behind. Specialists can assess source logs, snapshot behavior, connector configuration, Kafka capacity and consumer recovery. In Germany, remote delivery is common, while on-site workshops can help teams align on architecture, security and operations.
Quality Signals
A strong professional explains delivery guarantees, ordering, idempotency, tombstone events and schema evolution in practical terms. They test restarts, connector failures, database failover, large snapshots and consumer reprocessing before production release. Look for experience with observability, access control, disaster recovery and clear runbooks, not only a working connector demonstration. German teams may also value fluent English or German collaboration, depending on stakeholders and documentation needs.
Frequently asked questions
Curious about Debezium? Here are the answers that come up again and again.
Debezium captures row-level changes from databases and publishes them as events, usually through Apache Kafka. Companies use it for real-time replication, analytics feeds, cache updates, search synchronization, audits and event-driven integrations.
Debezium reads transaction logs instead of repeatedly querying tables or adding trigger logic to application writes. This can reduce source-database query overhead and preserve transaction context, but it requires Kafka Connect operations, careful offset handling and monitoring of connector health.
A strong Debezium specialist should understand Apache Kafka, Kafka Connect, Schema Registry and at least one supported source database. Useful adjacent skills include Kubernetes, cloud networking, data warehouses, stream processing, observability and security for credentials and event topics.
Debezium is straightforward to try but production CDC needs deeper judgment. The professional should have handled snapshots, schema changes, connector restarts, replication lag, duplicate delivery and consumer recovery in an environment similar to the planned workload.
Debezium has dedicated connectors for both PostgreSQL and MySQL, with different log and replication settings. A specialist must configure logical replication or binary-log access correctly, account for permissions and retention, and validate behavior during schema changes and failover.
Debezium projects can usually be delivered remotely because configuration, testing and monitoring are handled through shared repositories and infrastructure tooling. On-site sessions may still help with database access, security reviews or workshops, while documentation and communication should match the team’s German or English working language.
A reliable Debezium implementation includes tested recovery procedures, clear event contracts, useful metrics and documented failure handling. Ask the professional to demonstrate snapshot recovery, offset behavior, schema evolution, duplicate-safe consumers and what happens when the source database or Kafka becomes unavailable.
Debezium may be unnecessary for simple batch exports, low-change systems or integrations already served well by a managed replication service. It also adds operational complexity, so teams should compare it with native database replication, vendor CDC tools and direct application events before committing.
The average hourly rate of freelancers in Germany who have used Debezium in their recent projects is 91 €, which corresponds to a daily rate of about 732 € based on an 8-hour working day.
Of the freelancers in Germany who have used Debezium in their recent projects, 75% hold at least a Bachelor's degree and 13% hold at least a Master's degree.
On average, freelancers in Germany who have used Debezium in their recent projects have 16 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 (88%), and French (25%).
The most common industries among freelancers in Germany who have used Debezium in their recent projects are Information Technology (100%), Automotive (63%), and Banking and Finance (38%).
The most common business areas among freelancers in Germany who have used Debezium in their recent projects are Information Technology (100%), Product Development (88%), and Quality Assurance (63%).
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
