Redis Experts in Dortmund
, matched in minutes from over 15,000 CVsHire experts who design caching layers, real-time features and resilient data services with Redis, Redis Enterprise and surrounding cloud infrastructure. FRATCH matches you quickly with vetted, available freelancers who fit your technical needs.
Meet FRATCH Experts in Dortmund, who have recently used Redis
Nemanja M.
Last position:
AI Engineer / Senior Backend Engineer at Intelycx
Manufacturing intelligence platform with enterprise workflows, RAG, real-time AI assistant features, and multi-repository backend architecture.
- Built and extended production AI/backend services with Django, DRF, FastAPI, GraphQL, Celery, PostgreSQL, MySQL, Redis, and WebSockets across a modular multi-repository platform.
- Contributed to ARIS V2, a real-time manufacturing AI assistant using LangChain, LangGraph, MCP tool orchestration, planning/execution flows, OpenAI, AWS Bedrock, Qdrant, and Elasticsearch/OpenSearch-backed retrieval.
- Supported rollout expansion from ARIS V1 in 4 of 17 client production plants to ARIS V2 currently active in 13 of 17 plants, increasing real-world deployment coverage to more than 50% of the client footprint.
- Worked on document-grounded RAG functionality including ingestion, OCR, chunking, embeddings, indexing, retrieval, reranking, and grounded answer generation for industrial workflows.
Stack: Python, Django, DRF, FastAPI, LangChain, LangGraph, GraphQL, Celery, WebSockets, OpenAI, AWS Bedrock, Qdrant, Elasticsearch/OpenSearch, PostgreSQL, MySQL, Redis, Docker.
Kersten L.
Last position:
Lead Architect / Lead Developer at Bettles: Sports Betting Platform
- Complete greenfield rebuild across the whole stack — built AI-native: backend in Go and NestJS, PostgreSQL (CNPG) on K3s with GitOps/Terraform; frontend on Angular 22, zoneless.
- Orchestrated coding agents (e.g. Claude Code, Cursor) across the entire lifecycle — architecture, implementation, testing, reviews, documentation — driven by Specification-Driven Development (SDD).
- “Bruno” — LLM commentator persona backed by RAG and MCP for a personality that stays consistent across all generations (match previews, post-match reports, his own virtual bets).
Angular 22 (zoneless, without Zone.js), Claude Code, Claude Code Skills, CNPG, Cursor, Design Tokens (Spec for Code), Docker, Gherkin, Git, GitLab, GitOps, Go, Google Gemini, Grafana, Hetzner Cloud, K3s, Keycloak, Kubernetes, Lighthouse, LLM Integration, Model Context Protocol (MCP), NestJS, Node.js, NPM, Playwright, PostgreSQL, Prometheus, RAG, REST, Specification-Driven Development (SDD), Structured Outputs, Terraform, TypeScript, Vitest
Mojtaba P.
Last position:
AI Voice / RAG / Automation Engineer & Technical Project Manager at Technolohit
- Technical design, prioritization, and hands-on implementation of AI automation, conversational AI, voice AI, and private AI solutions.
- Translation of business requirements into system architecture, conversation/workflow logic, APIs, data flows, and production-ready AI workflows.
- Development of backend and integration components with Python/FastAPI, PostgreSQL/pgvector, Redis, REST APIs, webhooks, and background jobs.
- Design and implementation of RAG architectures with local/private LLMs, embeddings, document processing, semantic search, and controlled access to company knowledge.
- Prompt engineering for LLM and voice/conversational AI applications; iterative optimization based on real processes, system responses, and quality requirements.
- Practical work with ElevenLabs and its APIs in a voice AI project, as well as technical evaluation and integration of voice AI components.
- Deployment and operation of Docker-based systems on Linux with Nginx, CI/CD, monitoring/logging, backup/restore, and reproducible deployment processes.
Arkadius S.
Last position:
AWS Pricing Platform / API & Integration Architecture at Porsche Digital
Development and evolutionary further development of a highly available, cloud-native microservice and integration architecture for dealer and retail processes in the Porsche Car Configurator.
Responsibilities
- Development of Java-/Kotlin-based backend, API, and integration components (Spring Boot)
- Integration of internal and external systems via REST/OpenAPI, GraphQL, Apache Kafka, and AWS SQS (synchronous and asynchronous)
- Implementation of stable, high-performance communication and data flows in a cloud-native platform architecture
- Processing of structured data formats (JSON, Protobuf, GraphQL schemas) based on existing API patterns
- Performance optimization of distributed microservices with reduced response times and higher operational stability
- Technical tests (unit, integration, and API tests) as well as error analysis in production-like environments
- AWS Infrastructure as Code with Terraform and AWS CDK
- CI/CD automation (build, test, and deployment pipelines) with GitHub Actions
- AI-supported feature implementation (GitHub Copilot Agent)
Label: Kotlin, Java 25, Spring Boot 4, Protobuf, TypeScript, AWS, Terraform, CDK, Apache Kafka, AWS SQS, REST/OpenAPI, GraphQL, JSON, PostgreSQL, Docker, GitHub Actions, Maven, Gradle, JUnit, Mockito, Testcontainers
Patrik G.
Last position:
Technical Lead Conversational AI at CANCOM
- Technical lead of a team developing agentic chatbot solutions (React, TypeScript, Python, FastAPI)
- Architecture design for multi-LLM dialog systems - focus on maintainability, UX, and autonomous execution
- Stakeholder alignment, CI/CD processes, and AI integration at enterprise level
Hendrik B.
Last position:
Lecturer at Front and Fullstack Development Lecturer
- Teaching JavaScript, HTML, CSS, React, NodeJS, MongoDB, MariaDB, and Express
- Designing and preparing lessons
- Classroom teaching and one-on-one coaching
Discover over 15,000 top freelancers
Statistics of experts using Redis
Aggregated from the professional profiles of matched freelancers.
Experience
19 years (Germany: 17 years)
Position duration
2 years (Germany: 2.8 years)
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Healthcare, Manufacturing
Certification focus areas
Information Technology, Quality Assurance, Business Intelligence
Bachelor's degree or higher
100% (Germany: 90%)
Master's degree or higher
67% (Germany: 50%)
Certifications per freelancer
2
Most common languages
German, English, Bosnian
Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Dortmund 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 Dortmund using Redis
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 16 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Redis 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%)
- Healthcare (83%)
- Manufacturing (83%)
- Automotive (67%)
- Education (67%)
- Retail (50%)
- Insurance (33%)
- Professional Services (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
In-memory data foundation
Redis is an in-memory data store used for fast reads, writes and event-driven workloads. Teams use it as a cache, key-value database, message broker, stream processor and session store. Redis OSS and Redis Enterprise support applications that need responsive access to frequently used data.
Typical Redis workloads
Redis fits systems where latency, throughput and flexible data structures matter. Its capabilities support both customer-facing features and internal services.
- Cache database queries, API responses and rendered content
- Store sessions, tokens, carts and temporary application state
- Power queues, pub/sub messaging and real-time notifications
- Process activity streams with consumer groups
- Build leaderboards, counters, rate limits and geospatial features
Ecosystem and tooling
Strong Redis specialists work across client libraries for languages such as Java, Python, JavaScript, Go and .NET. They understand data types, expiration policies, persistence, replication, clustering and access control. They also connect Redis with Kubernetes, Docker, cloud services, observability tools and application frameworks.
When companies need expertise
Freelance Redis expertise helps when a team must reduce database pressure, introduce real-time behavior or stabilize an existing deployment. It is also valuable during cloud migrations, traffic growth, incident reviews and architecture changes. In Dortmund, specialists may support local product teams, industrial companies and logistics systems through on-site workshops or remote delivery.
- Replace an unreliable cache or session layer
- Tune memory use, eviction and persistence settings
- Design highly available Redis topologies
- Connect streams, queues and event-driven services
Delivery and integration
A capable professional starts with access patterns and failure scenarios rather than choosing Redis by default. They define key naming, data lifecycles, serialization and consistency expectations, then integrate the store cleanly with application code and primary databases. They add metrics, tracing, alerts, backups and recovery tests before production release.
What quality looks like
Good Redis work is visible in predictable latency, controlled memory growth and clear operational procedures. Strong professionals distinguish cache data from durable data and understand when Redis should complement, not replace, a relational or document database. They test failover, hot keys, connection behavior and workload spikes, and explain trade-offs clearly to both technical and non-technical stakeholders.
Frequently asked questions
Key details about Redis, drawn from the questions we get asked most.
Redis is used for caching, session storage, rate limiting, queues, pub/sub messaging and real-time data. Its in-memory model makes it useful when applications need fast access to frequently changing information.
Redis is optimized for fast in-memory access and flexible data structures, while relational databases are usually the system of record for durable, structured data. A strong design often uses Redis beside PostgreSQL, MySQL or another primary database rather than treating it as a universal replacement.
A Redis specialist should understand application architecture, networking, Linux, cloud infrastructure and observability. Experience with Docker, Kubernetes, client libraries, message queues and databases helps them integrate Redis safely into production systems.
The required depth depends on the workload. A Redis expert handling a simple cache needs different experience from one designing replication, clustering, stream processing, persistence and recovery for a critical service.
Yes. Redis work is often suitable for remote collaboration because configuration, code reviews, monitoring and incident analysis can be handled online. On-site sessions in Dortmund can still help with discovery workshops, architecture decisions and coordination with local teams.
Redis Enterprise can suit organizations that need managed operations, enterprise support, stronger governance or additional deployment options. Redis OSS may be appropriate when the team wants to operate the stack itself and the required features are available in its chosen setup.
Ask a Redis professional to explain data structures, expiration, persistence, failover and memory behavior in terms of your workload. Review whether they define measurable operational risks, test failure scenarios and document key design, backup and recovery decisions.
A Redis specialist should clarify whether the data is cacheable, temporary or durable, along with expected access patterns and failure tolerance. They should also ask about deployment, security, monitoring, backup requirements and how Redis will interact with the primary data store.
The average hourly rate of freelancers in Dortmund, Germany who have used Redis in their recent projects is 88 €, which corresponds to a daily rate of about 705 € based on an 8-hour working day.
Of the freelancers in Dortmund, Germany who have used Redis in their recent projects, 100% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Dortmund, Germany who have used Redis in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Dortmund, Germany who have used Redis in their recent projects are German (100%), English (100%), and Bosnian (17%).
The most common industries among freelancers in Dortmund, Germany who have used Redis in their recent projects are Information Technology (100%), Healthcare (83%), and Manufacturing (83%).
The most common business areas among freelancers in Dortmund, Germany who have used Redis in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (83%).
Main locations of FRATCH Experts, who have recently used Redis
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
