Apache Avro Experts in Germany
matched in minutes from over 15,000 CVs with vetted, available specialistsHire experts who design Avro schemas, wire up schema registry flows, and keep Kafka-based data pipelines compatible across services. They handle serialization, schema evolution, and event contracts with fast, precise matching of vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used Apache Avro
Collin Kempkes
Last position:
Lead Fullstack Developer at Freelance
- Development of cloud native applications to provide a multi-vendor marketplace for different digital assets (e.g. NFTs)
- Design and operation of a microservice architecture using Nest.js, MySQL, Redis, Hasura, Algolia, Docker and Serverless
- Design and operation of a streaming data architecture using Kafka (with JSON Schemas)
- Creation of CI/CD pipelines with GitHub Actions for automated deployment of applications
- Testing and evaluating new technologies for more stable, faster, safer and more sustainable application development
- Building the full infrastructure with Terraform in AWS
- Integration of Stripe to handle international payments
- Use of Algolia for real-time search of digital assets on the platform
- Presenting results to stakeholders and running internal meetups
- Federation of services with GraphQL and Hasura
- Discussions about architecture decisions in the IT landscape and their impact
- Use of message queues for app-internal communication and component encapsulation
- Advising internal staff on the implementation of business and technical requirements
- Test Driven Development: unit, integration and E2E testing using JUnit
- Use of Next.js/React with SASS/SCSS for frontend applications
- Use of Vue.js with SASS/SCSS for frontend applications
- Integration of security-related mechanisms (JWT tokens with Auth0, OAuth, OIDC, IP guards, BOLA, secret vaults)
- Creation of microfrontends using Retool for fast prototyping and testing of functionality
- Use of nx monorepo with nrwl
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.
Basil Sattler
Last position:
Senior Developer / Data Engineer at Large energy-sector company
- Co-founded the Real-Time Data team, which grew to 10 members over time.
- Developed and delivered core data products.
- Optimized real-time application performance and implemented monitoring, alerting and logging solutions to ensure system stability.
- Created and maintained deployment pipelines.
- Collaborated with teammates, architects and experts in an agile Scrum environment.
- Operated applications, analyzed, tested and troubleshot software solutions.
Niels Majer
Last position:
Senior Software Developer / Cloud Architect at Biesterfeld SE
- Architected ETL services for event-driven data exchange between enterprise systems on a Kafka streaming backbone.
- Optimized CI/CD pipelines for Azure AKS deployments and improved OpenSearch monitoring and alerting for proactive incident detection.
Tech: Java / Kotlin, Quarkus, Kafka / Avro, Azure / AKS, Azure Storage Container, ArgoCD, GitLab CI, OpenSearch, Terraform
Peter Brungs
Last position:
Data Warehouse Consultant (Development and Analysis) at Atruvia AG
- Developed and enhanced ETL loading jobs with IBM DataStage and optimized SQL in an IBM DB2 environment as part of the Agree21 data migration
- Analyzed data quality and developed test procedures
- Created PowerShell scripts and documented GIT deployment processes
- Technologies: RedHat Linux, IBM DB2 with DBVisualizer, IBM InfoSphere DataStage 11.7, JIRA, TortoiseGIT, TortoiseSVN, PowerShell scripts
Philipp Brunenberg
Last position:
Instructor at Spark Rockstars Academy
- Help developers with individual live coaching to become pro-level Apache Spark engineers
- Organize and host multi-day, tailored Apache Spark workshops for development teams
- Create educational technical content on a self-hosted blog, YouTube, and social media
Bela Bocsak
Last position:
Full Stack Lead Developer, Backend Architect at Telefonica (O2)
The software supports the complete planning and approval of antennas for mobile telephony.
The system was implemented using an event-driven microservice architecture for cloud-native deployment with Quarkus on the backend, Kafka for communication, and Angular for the frontend. Services run on Kubernetes in Google Cloud. A special challenge was synchronizing with the legacy system still used by some users.
Christian Richter
Last position:
Freelance Data Engineer at Ingenieurbüro Christian Richter – Data, Cloud & Container
- Contributed to over 20 successful projects
Emre Ates
Last position:
Development of a software solution for archiving and a GenAI-based Q&A tool
- Banking industry
- Configuration and setup of a Google Cloud project with the Vertex AI API, Vertex AI Matching Engine, and Google Cloud Storage
- Development of Python services for ingesting and analyzing data in various formats using the Q&A API
- Containerization of components and implementation of Kubernetes configurations
- Development of a .NET service and a React frontend for data-driven capture with dynamic process steps
- Refactoring and functional extension of existing code to meet new requirements in ingestion and reconciliation
- Technologies: .NET Core, Moq, C#, PostgreSQL, Entity Framework, Avro, Python, Flask, Flask unittest, Pip, LangChain, RabbitMQ, REST, Jupyter, Docker, GitHub, kubectl, Google Vertex AI, Google Vertex AI Matching Engine, BigQuery, Google Gemini, React, Bootstrap, Vite, Vitest, npm
Henning Petersen
Last position:
Backend Systems Development at Deutsche Bank/DWS/Morgenfund
- Developed backend systems for the DWS Investment App, a white-label investment solution (robo-advisor), and an investment solution for institutional clients.
- Java 8-17, Kotlin, Spring Boot, Spring MVC, OpenAPI 3.0, JPA, JDBI, Oracle, Hazelcast, JXLS, Apache POI, Apache PDFBox, Apache Kafka & Avro, Active MQ, Elasticsearch, React Native, Spock Test, IntelliJ IDEA, Kubernetes, Helm, Microservices/Netflix-Stack, TeamCity, Splunk.
- Kanban team, continuous integration.
- Migrated existing applications from Deutsche Bank's private cloud environment to Azure as part of a carve-out.
Matthias Von Görbitz
Last position:
Managing Partner at IT consulting firm
Discover over 15,000 top freelancers
Statistics of experts using Apache Avro
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
3.9 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Insurance
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
70%
Master's degree or higher
50%
Doctorate
20%
Certifications per freelancer
3
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 Apache Avro
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
What Avro does
Apache Avro is a data serialization format built for compact records and clear schema definitions. Teams use it to move structured data between services, stream events, and store records in a way that stays readable across systems. It is common in Kafka setups, data platforms, and service-to-service contracts.
Why teams choose it
Avro fits projects where schemas change over time and compatibility matters. The schema travels with the data or is stored in a registry, so producers and consumers can stay aligned without heavy payloads.
- Event-driven systems
- Streaming pipelines
- Data exchange between services
- Long-lived contracts across teams
Core ecosystem
Strong professionals working with Avro usually know the wider toolchain around it. That includes Apache Kafka, Schema Registry patterns, JSON and binary encoding, and build tools used in Java, Scala, or Python stacks. They also understand how Avro fits into CI checks and contract testing.
When companies bring in help
Companies look for freelance expertise when schema changes have started to break consumers, when a new event model needs to be introduced, or when a platform team must standardize records across many services. In Germany, this often comes up in distributed product teams that mix local and remote specialists.
- Broken producer and consumer compatibility
- New event contracts for Kafka topics
- Migration from ad hoc JSON payloads
- Registry setup and governance
What strong specialists deliver
Good Avro specialists do more than write schemas. They design fields with clear defaults, manage compatible evolution, and check how unions, logical types, and nested records behave in real systems. They also keep the data model simple enough for teams to maintain.
Signs you need Avro expertise
If teams argue about payload shape, consumers keep failing after releases, or no one owns the schema lifecycle, it is time to bring in help. A strong expert can review the current model, reduce coupling, and document rules for producers and consumers.
They should also be able to explain when Avro is the right choice and when another format is a better fit. That judgment matters as much as the schema work itself.
Frequently asked questions
Before you brief your next project: the most common questions about Apache Avro.
Apache Avro is used to serialize structured data for services, event streams, and data pipelines. It is a common choice when teams need compact messages and clear schemas that can evolve without breaking consumers. You will often see it in Kafka-based systems and platform integration work.
Avro sits between easy-to-read JSON and highly strict formats like Protobuf. Compared with JSON, it gives you stronger schema control and smaller payloads. Compared with Protobuf, it is often easier to use in data pipelines where schema evolution and registry-based governance matter.
A strong Apache Avro specialist usually also knows Kafka, schema registries, and event-driven design. Java is common, but Scala and Python can matter too, depending on the stack. Good candidates understand compatibility rules, testing, and how downstream systems consume the records.
A project needs Avro expertise when schema changes are already causing friction, or when many teams depend on the same event contracts. It also helps during platform redesigns, migrations from JSON, or when governance around data formats is still informal. Senior help is valuable whenever compatibility risk is high.
Yes. Apache Avro work is often done well remotely because the main deliverables are schemas, compatibility rules, and documentation. For teams in Germany, the key is usually clear written communication and good agreement on review steps, whether the expert is on-site or remote.
Look for clear schema design, not just correct syntax. A solid Avro expert can explain field defaults, union choices, logical types, and versioning rules in plain language. They should also show how they test compatibility before changes reach production.
No. Avro is common with Kafka, but it is also used in batch pipelines, service contracts, and storage layers that need stable structured data. Kafka often brings it into the discussion, yet the format itself is broader than streaming.
Ask how the person handles schema evolution, consumer compatibility, and validation. With Apache Avro, you also want to know whether they have worked with registry setup, legacy data migration, and multi-team governance. Those answers tell you far more than a tool list.
The average hourly rate of freelancers in Germany who have used Apache Avro in their recent projects is 102 €, which corresponds to a daily rate of about 817 € based on an 8-hour working day.
Of the freelancers in Germany who have used Apache Avro in their recent projects, 70% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Germany who have used Apache Avro in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 3.9 years.
The most common languages among freelancers in Germany who have used Apache Avro in their recent projects are German (100%), English (91%), and French (27%).
The most common industries among freelancers in Germany who have used Apache Avro in their recent projects are Information Technology (100%), Banking and Finance (73%), and Insurance (45%).
The most common business areas among freelancers in Germany who have used Apache Avro in their recent projects are Information Technology (100%), Product Development (91%), and Business Intelligence (73%).
Main locations of FRATCH Experts, who have recently used Apache Avro
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
