Redis Experts in Frankfurt
for fast, resilient data services with AI-powered matchingHire experts who design low-latency caching, real-time features and reliable data structures with Redis, Redis Cluster and surrounding cloud systems. FRATCH matches you with vetted, available freelancers quickly and precisely.
Meet FRATCH Experts in Frankfurt, who have recently used Redis
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
Felix T.
Last position:
Data Engineering and Power BI at Wesernetz Bremen
Independently built a data platform with cross-system process monitoring.
- Designed the Bronze/Silver/Gold architecture and Python-based pipelines for diverse operational sources.
- Cleaned, harmonized, and validated data; processed and stored it in Parquet format.
- Tracked data history and built business-focused fact and dimension models for traceable reporting.
- Automated data delivery with Python and Power Automate (desktop and cloud); used SharePoint for archiving and data access.
- Developed the Power BI solution from data preparation through to visualizing process statuses, work progress, and deviations.
Technologies: Python, SQL, Parquet, Power BI, Power Query, Power Automate, SharePoint, Copilot
Eduard V.
Last position:
Lead of workshop “Introduction to AI Development Tools” at Software company in Wiesbaden
- Presentation introducing generic A.I. and Large Language Models
- Explanation of legal frameworks (EU AI Act, US CLOUD Act, DSGVO)
- Systematic review of AI tools along the SDLC and holistic systems
- Comparison of on-prem LLMs vs. cloud-based solutions, as well as change management and works council considerations
- Moderation of the discussion and definition of next steps for introducing AI development tools
Khaled T.
Last position:
Consultant / DevOps Engineer at Dr. Ing. h.c. F. Porsche Aktiengesellschaft
- Porsche ID is a unified digital identity platform providing secure authentication and seamless access across Porsche’s online services, mobile apps, and connected vehicle features
- Designed and implemented new authentication and authorization functionalities for both users and systems
- Ensured high availability, security, and performance to deliver a flawless digital experience for Porsche customers
- Technologies: Auth0, Angular, Tailwind, AWS, Terraform, Github
- Methodologies: Scrum and SAFe
Markus K.
Last position:
Founder & Managing Director at Qrafto UG (haftungsbeschränkt)
- Founding and overall responsibility: Built a B2B SaaS platform for craft and construction businesses from the first line of code to the live launch with the first paying customer; solo founding including full establishment of the company and all business processes.
- Product and technology responsibility: Designed and developed the entire product.
- Infrastructure & DevOps: Managed a Kubernetes/Helm environment including CI/CD, monitoring, and security architecture; GDPR-compliant platform decisions and evaluation of EU-hosted LLM providers.
- Agentic coding as a productivity multiplier: Set up a productive multi-agent environment with Claude Code: up to eight parallel agents in isolated Git worktrees, Telegram-based remote control and monitoring, MCP integrations (e.g., Context7, Playwright for E2E tests), and a builder-critic pattern with custom slash commands (/research, /plan) and compressed project contexts. Result: development throughput on par with a small team while working solo.
- Go-to-market: Independently developed positioning, SEO and direct mail playbook, as well as target group analysis.
- Regulation & finance: Implemented e-invoicing requirements (ZUGFeRD/XRechnung), set up accounting and payment infrastructure, and managed funding and financing options.
Florian F.
Last position:
Senior Backend Developer at ING Deutschland AG
- Database design with Oracle DB, JPA and Flyway considering high performance requirements
- Analysis of multiple architecture drafts and identification of technical risks
- Design and implementation of various interfaces and integrations, especially REST APIs and Kafka topics
- Setup of Elasticsearch for monitoring and analyzing log data
- Establishment of an iterative work approach in the project team facing complex business requirements
Marie-Josée M.
Last position:
Java Engineer / Developer at Davaso GmbH
- Involved in the full development lifecycle, including design, coding, testing, and deployment of Java-based applications.
- Built and maintained high-performance RESTful APIs and microservices, ensuring scalability and reliable data exchange.
- Practiced code reviews, used version control systems (e.g., Git), and collaborated closely with cross-functional teams to deliver robust software solutions.
- Implemented, managed, and optimized complex business logic and decision-making processes using the Drools Rules Engine, leveraging DRL (Drools Rule Language) for dynamic configuration.
- Developed software solutions for a major service provider in the healthcare insurance sector, specifically focusing on claims processing and reconciliation logic to ensure cost-effective reimbursement for health funds.
Illia S.
Last position:
Front-End Developer at Tangram Internet Services GmbH
- IAUP (Interregional Academy of Personnel Management) commissioned the development of a distance learning system for its secondary school subdivision.
- Development of the website [link]
- Development of a billing system and integration with various payment systems
- Development of a distance learning system based on the open source Moodle solution
- Integration of the distance learning system into the user office on the [link] website
- Front-end: Vue.js v2, Nuxt.js, JavaScript, HTML, CSS, SCSS
- Back-end: LAMP (Linux, Apache, MySQL, PHP), PHP Framework Laravel, Redis, Swagger, MySQL 8.x, PayPal API
- DevOps: Docker, CI/CD, GIT
Stefan D.
Last position:
Managing Director and System Architect at HelpSpace GmbH
- Development, operation, and sales of the HelpSpace helpdesk software
Axel B.
Last position:
Project lead for introducing Okta as an IAM system at Fritz Schäger GmbH & Co KG
- Project management
- Building an internal IAM team
- Okta
- Project management
- IAM processes
Pascal S.
Last position:
Full-Stack Engineer at Playbook Digital, Inc
- Work in a rapidly moving environment on scalable and performant organizational features for a growing SaaS creative storage & digital asset management startup
- Optimization of data storage and retrieval routines in hot code paths across a containerized microservice architecture
- Implementation of new feature packages in a largely independent and self-sufficient manner, down the stack; design of both backend architecture and frontend UIs in the absence of templates, mock-ups, or other guide rails
- Autodidactic onboarding, rapid learning and subsequent productive application of technologies I was previously fully unfamiliar with (Ruby/Rails)
Rohith R.
Last position:
Senior Software Engineer at Clark GmbH
- Upgraded Ruby from 2.7 to 3.1, boosting application performance by 30% and reducing technical debt.
- Integrated Zendesk Messenger into the customer support platform, streamlining communication workflows and increasing support efficiency by approximately 25% through faster response times and improved issue resolution.
- Orchestrated the migration of 65,000+ Schutzklick customer records to a new cloud platform, achieving zero downtime and accelerating data access speeds by 40% for internal teams.
- Implemented JumpCloud SSO for 500+ admin users, strengthening platform security and access control.
- Conducted k6 load testing, enabling the platform to support 10,000+ concurrent users without degradation.
Rashid I.
Last position:
Java Developer at IT company
- Data transformations
- IT company with more than 100 employees
- Software production
- Data augmentation and normalization, image transformation, format conversion, merging data from multiple sources
- Toolset: Java, Helm, Kubernetes, Kafka, OpenCV, IntelliJ IDEA, Gradle, Git, Docker, Containers, Scrum
Jörg-Ulrich H.
Last position:
Data flows for health insurance providers
- Further development and creation of data flows for health insurance providers
- Data management across various storage systems (DB2, MSSQL, PostgreSQL, S3, custom APIs, ...)
- Documentation and training
- Planning and deployment of NiFi 2.x (major upgrade)
- Integrating Grafana for visualization, monitoring, and alerting
- Extensive use of the NiFi API to continuously monitor the system and its components
Igor P.
Last position:
Senior Frontend Developer at Objego GmbH
Within the project, Objego's digital platform for real estate management was further developed.
Further development of various software modules within the application.
Continuous improvement and optimization of existing functionalities to enhance performance and user experience.
Design and implementation of unit tests to ensure code quality and stability.
Close collaboration with the QA team to quickly fix bugs.
Implementation of new features in coordination with stakeholders and end users.
Active member of the Scrum team with a focus on agile methods and continuous improvement of the software.
Technologies: Angular 16/17, Material, Angular CDK, Angular Elements, Nx, NgRx, NgNeat, NgX-Translate, NgX-Charts, NgX-Lottie, NgX-Markdown, Sentry, Azure AI Form Recognizer, Lodash, Dayjs, Flatpickr, Lottie-Web, Mixpanel, RxJS, Prettier, ESLint, Webpack, Cypress, Playwright, Jest, Husky, TypeScript, Node.js, Zone.js, Docker, Spring Boot, Git, Figma, Figma Token, Storybook, Jira, Confluence, Atlassian, Gitlab CI/CD, Codecov, Custom Design System, Mockoon.
Discover over 15,000 top freelancers
Statistics of experts using Redis
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
2.8 years
Positions per freelancer
12 (Germany: 11)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Education
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
100% (Germany: 90%)
Master's degree or higher
40% (Germany: 49%)
Doctorate
20% (Germany: 9%)
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 97%)
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 Frankfurt 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 Frankfurt 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 29 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%)
- Banking and Finance (63%)
- Education (50%)
- Energy (44%)
- Healthcare (38%)
- Insurance (31%)
- Transportation (31%)
- Professional Services (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Redis does
Redis is an in-memory data store used for caching, session management, queues, rate limiting and real-time applications. It supports structured data types such as strings, hashes, lists, sets and sorted sets, making it useful when applications need quick reads, writes and event-driven behavior.
Core capabilities
Strong Redis professionals select data structures, design key patterns and set expiry policies that fit the application. They also handle persistence, replication, access control, monitoring and recovery so speed does not come at the cost of reliability.
Ecosystem and tooling
Redis commonly connects with backend frameworks, message brokers, relational databases and cloud infrastructure. Specialists work with Redis Cluster, Sentinel, client libraries, Lua scripting, streams and observability tools, while integrating the store into containerized or managed environments.
Where companies use it
- Accelerate API responses and database-heavy web applications
- Store sessions, tokens, feature flags and temporary state
- Build queues, pub/sub workflows and live notifications
- Power leaderboards, recommendations and time-sensitive analytics
When to bring in expertise
Companies often need freelance Redis expertise when a cache is growing without clear invalidation rules, when latency becomes unpredictable or when a prototype must become resilient in production. In Frankfurt, specialists may collaborate remotely or work with local teams across finance, commerce, mobility and software services, depending on security and delivery needs.
What strong professionals deliver
The best specialists connect Redis decisions to business and system requirements. They measure latency, memory use and hit rates, document failure behavior, test recovery and explain trade-offs with databases or other caching tools. They leave behind maintainable configurations, clear runbooks and reliable application integrations.
Frequently asked questions
Questions about Redis? Start with the answers below.
Redis is commonly used as a cache, session store, queue, pub/sub layer and real-time data store. Its in-memory model and rich data structures support fast application responses, temporary state and event-driven features.
Redis is optimized for very fast access to data held in memory, while relational databases usually provide broader querying, durable storage and transactional capabilities. Many systems use both: Redis reduces repeated database work, while the primary database remains the source of truth.
A strong Redis specialist should understand application architecture, data modeling, networking and cloud operations. Experience with client libraries, containers, monitoring, databases, queues and failure recovery is especially useful because Redis performance depends on the surrounding system.
Redis work ranges from adding a simple cache to designing a replicated, highly available data layer. Choose a professional whose past work matches the required durability, traffic pattern, data model and operational risk rather than relying on the technology name alone.
Redis projects can usually be delivered remotely when access, documentation and deployment processes are well prepared. On-site collaboration in Frankfurt can help with workshops, security reviews or coordination with teams that handle sensitive infrastructure.
Redis offers more data structures, persistence options, replication features and messaging patterns than Memcached. Memcached can suit straightforward, disposable caching, while Redis is often the stronger choice when the cache also supports queues, counters, sessions or real-time workflows.
Ask a Redis professional to explain key design, expiry, eviction, persistence, replication and recovery for your specific workload. Good answers include measurable validation, clear failure scenarios and a plan for monitoring memory, latency and cache consistency.
Redis can become a bottleneck when keys grow without control, expiry is missing or large operations block the main event loop. Other risks include treating the cache as the only data source, underestimating memory usage and failing to test failover or recovery.
The average hourly rate of freelancers in Frankfurt, Germany who have used Redis in their recent projects is 103 €, which corresponds to a daily rate of about 822 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Redis in their recent projects, 100% hold at least a Bachelor's degree, 40% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Redis in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Frankfurt, Germany who have used Redis in their recent projects are German (100%), English (100%), and French (19%).
The most common industries among freelancers in Frankfurt, Germany who have used Redis in their recent projects are Information Technology (100%), Banking and Finance (63%), and Education (50%).
The most common business areas among freelancers in Frankfurt, Germany who have used Redis in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (50%).
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 
Stuttgart 
Dusseldorf 
Leipzig 
Dortmund Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
