Apache Avro Experts in Germany
, matched with vetted freelancers in minutesHire experts who design Avro schemas, integrate Kafka and Schema Registry, and support reliable event-driven data platforms. FRATCH matches you quickly and precisely with vetted, available freelancers for your Apache Avro project.
Meet FRATCH Experts in Germany, who have recently used Apache Avro
Collin K.
Last position:
Software Architect / Fullstack Developer at Equity Bytes
Built an international e-commerce platform for a multi-vendor marketplace for digital assets from scratch. Designed and operated cloud native architectures at enterprise scale.
- Designed and operated a highly scalable microservice and serverless architecture
- Built the complete cloud infrastructure with Terraform + AWS CDK in AWS
- Provisioned ECS/EKS clusters (Fargate), Application Load Balancers (reverse proxy), and Lambda functions
- Observability & tracing with CloudWatch, DataDog, Prometheus, and Grafana
- End-to-end setup with DataDog (formerly AWS CloudWatch), Prometheus, and custom Grafana dashboards
- Integration of advanced metrics (including ORM mapper) and distributed tracing with Jaeger
- Robust backup and disaster recovery strategies
- RDS Postgres backups and hourly snapshots
- Read-only, asynchronously synchronized replicas with automated master failover in emergencies
- Minute-level rollback capability through versioned Docker images on ECS and Git-based CI/CD pipelines
- Created CI/CD pipelines with GitHub Actions for automated multi-stage deployments (Dev, Testing, Prod)
- Integrated Stripe for international payment processing
- Built a marketplace payment system with multiple parties and payout routines
- Used Algolia for high-performance real-time search of digital assets on the platform
- Federation of services with GraphQL and Hasura
- Later migration to GraphQL Mesh
- Test Driven Development (TDD) - unit, integration, and E2E testing with Jest, Vitest, and Playwright
- Used Next.js / React for modern frontend applications in the nx monorepo
- Enterprise security architecture & access control
- Integration of JWT tokens with Auth0, OAuth, OIDC, IP guards, BOLA protection, and secret vaults
- Authorization concepts with RBAC, ABAC, and native Postgres Row-Level Security (RLS)
- Built internal microfrontends with Retool for fast prototyping and operational business processes
Technologies: ABAC, AWS CDK, AWS CloudWatch, AWS ECS, AWS EKS, AWS Fargate, AWS RDS, AWS S3, Algolia, Auth0, DataDog, Docker, GitHub Actions, Grafana, GraphQL, GraphQL Mesh, Hasura, JWT, Jaeger, Java, JavaScript, Jest, Kotlin, Kubernetes, Monorepo, Next.js, OIDC, Playwright, Postgres, Postgres RLS, Prometheus, RBAC, Redis, Retool, Serverless, Stripe, Terraform, TypeScript, Vitest
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
Anupriya P.
Last position:
Senior Software Engineer at Telefonica Germany
(Maternity/Parental Leave: July 2023 – Aug 2024)
- Domain: Payment Domain | Client: Telefonica Germany
- Project: General Payment Service
The General Payment Service is responsible for processing of online payments via external payment service provider like Safer pay and PayPal
- Developed Design of Use (DOU) and interface contract documentation, ensuring clarity and compliance across system integrations
- Designed and delivered REST/SOAP web services with Spring Boot and Spring Data JPA, publishing Swagger contracts through WSO2 API Gateway to improve accessibility and governance.
- Spearheaded the on-premises to AWS Cloud migration, re-platforming from Oracle to PostgreSQL on AWS RDS and deploying services on EC2, improving scalability and cost efficiency.
- Containerized microservices using Docker and orchestrated deployments with Kubernetes, streamlining deployment pipelines and improving system reliability.
- Implemented proactive monitoring and logging via AWS CloudWatch and Kibana, ensuring stability and performance during cutover.
- Enhanced collaboration through code reviews and peer reviews, promoting maintainability and clean coding standards.
- Strengthened quality by writing comprehensive JUnit tests and preparing detailed test cases enabling early defect detection
- Delivered automated API testing with Ready API, Postman, and SOAPUI, and conducted performance testing with JMeter, ensuring reliability in high-transaction environments.
Basil S.
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 M.
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
Karthikeyan R.
Last position:
Full-Stack Developer — Own Product at Self-employed
Java 21 · Spring Boot 3 · Keycloak · PostgreSQL · Docker · Nginx · GitHub Actions · DigitalOcean · React 18 · TypeScript · Plasmo
- Architected and shipped a production-ready Job Application Tracker end-to-end: REST API with 5-stage workflow, pagination, sorting, and dynamic filtering — full ownership from design to live cloud deployment on DigitalOcean.
- Implemented production-grade identity management: OAuth 2.0 / OpenID Connect / JWT / RBAC via Keycloak, applying Hexagonal Architecture and DDD principles.
- Built automated CI/CD pipeline (GitHub Actions); containerised with Docker; Nginx reverse proxy with path-based routing and SSL termination.
- Developed a Chrome Extension (Plasmo framework, Manifest V3) that auto-fills job applications directly from LinkedIn into the tracker — demonstrates full product thinking across backend API and browser client.
Peter B.
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 B.
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 B.
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 R.
Last position:
Freelance Data Engineer at Ingenieurbüro Christian Richter – Data, Cloud & Container
- Contributed to over 20 successful projects
Emre A.
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 P.
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 V.
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
19 years
Position duration
3.7 years
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Telecommunication
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
75%
Master's degree or higher
42%
Doctorate
17%
Certifications per freelancer
3
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 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Apache Avro 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 (77%)
- Telecommunication (46%)
- Insurance (38%)
- Professional Services (38%)
- Retail (38%)
- Automotive (31%)
- Education (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Apache Avro does
Apache Avro is a data serialization system built for compact, fast exchange of structured records. It stores a schema with a binary or JSON representation, allowing applications to share data without repeating field definitions in every message. Avro is widely used in distributed systems, event streaming and batch data processing.
Schemas and compatibility
Avro schemas define fields, types, defaults and optional changes in a precise format. Strong specialists manage schema evolution so producers and consumers can change independently without breaking data flows. They apply compatibility rules, namespace conventions and clear ownership practices across teams and environments.
Kafka and data tooling
Avro often works with Apache Kafka, Confluent Schema Registry and Kafka Connect. Specialists may also use Spark, Flink, Hadoop, Java, Python or Scala when Avro records move through streaming and analytics workloads.
- Design and review Avro schemas
- Configure serialization and deserialization
- Connect Kafka topics with Schema Registry
- Convert Avro data for analytics and storage
Where companies use it
Companies use Avro for event-driven services, customer data platforms, payment and logistics streams, clickstream analysis and operational reporting. Its compact format suits high-volume data exchange, while explicit schemas make integration contracts easier to govern. Teams in German industries can use remote or on-site specialists depending on security, workshop and coordination needs.
When freelance expertise helps
External expertise is useful when a team is introducing Kafka, replacing fragile JSON contracts or migrating a batch platform to a governed data pipeline. A specialist can audit existing schemas, define a rollout path, repair compatibility issues and document producer-consumer responsibilities. They can also support a focused delivery without adding permanent capacity.
Signs of strong specialists
Quality professionals understand both the Avro specification and the systems around it. They test backward and forward compatibility, inspect serialized payloads and trace failures across producers, brokers, registries and consumers. They explain trade-offs clearly and leave maintainable schemas, automation and operational documentation behind.
- Validate schema changes in continuous integration
- Monitor serialization errors and consumer impact
- Plan safe migrations between schema versions
- Align data contracts with domain ownership
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 communication between services, storage in data lakes and processing in streaming or batch pipelines. It is especially useful when many applications need a shared, evolvable data contract.
Apache Avro uses schemas and commonly stores them outside the message payload, which can make records compact and well suited to Kafka and data-processing workflows. JSON is easier to inspect but less strict, while Protocol Buffers often fits strongly typed service APIs and requires a different schema and tooling approach.
A strong Apache Avro specialist often works with Apache Kafka, Schema Registry, Kafka Connect and distributed data processing tools such as Spark or Flink. Experience with Java, Python, Scala, data governance and automated compatibility checks is also valuable.
The right level depends on the work. A contained schema or serialization task may need focused specialist support, while a platform migration requires experience with schema evolution, Kafka operations, data contracts and production troubleshooting.
Apache Avro projects are often suitable for remote collaboration because schemas, repositories, pipelines and test environments can be shared online. On-site workshops may still help when teams need to agree on domain ownership, compliance processes or migration responsibilities.
Before engaging an Apache Avro freelancer, clarify the data sources, consumers, serialization formats, registry setup and compatibility expectations. Also identify whether the main need is schema design, Kafka integration, migration, performance analysis or production support.
Look for tested schema evolution, clear compatibility decisions and evidence that producers and consumers were validated together. Good Apache Avro work includes readable schemas, automated checks, useful monitoring and documentation that explains ownership and migration steps.
Apache Avro implementations often run into unclear field ownership, unsafe schema changes, mismatched registry settings or consumers that handle defaults incorrectly. Strong specialists reproduce failures with real payloads, establish compatibility rules and introduce tests before changing production contracts.
The average hourly rate of freelancers in Germany who have used Apache Avro in their recent projects is 100 €, which corresponds to a daily rate of about 800 € based on an 8-hour working day.
Of the freelancers in Germany who have used Apache Avro in their recent projects, 75% hold at least a Bachelor's degree, 42% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Germany who have used Apache Avro in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 3.7 years.
The most common languages among freelancers in Germany who have used Apache Avro in their recent projects are German (100%), English (92%), and French (23%).
The most common industries among freelancers in Germany who have used Apache Avro in their recent projects are Information Technology (100%), Banking and Finance (77%), and Telecommunication (46%).
The most common business areas among freelancers in Germany who have used Apache Avro in their recent projects are Information Technology (100%), Product Development (92%), and Business Intelligence (62%).
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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FRATCH CEO
