TanStack Query Experts in Germany
in minutes from over 15,000 CVs with the power of AIHire experts who use TanStack Query to manage server state, cache API data, and keep React apps responsive across complex screens and refresh flows. FRATCH matches you fast with vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used TanStack Query
Saqib Javed
Last position:
AI Developer / AI Engineer (Lead) at KOM4TEC GmbH
- Conceptual design and implementation of modular AI assistants for sales and business processes in the Microsoft ecosystem (Agentic AI, Copilot extensions)
- Frontend architecture and development with React + TypeScript for embedded chat and assistant surfaces (streaming UI, hooks, React Query, OpenAPI clients)
- Enterprise-level agent development: reusable skill/agent library, MCP server, review and compliance gates
- LLM integration into the user experience: Anthropic (Claude), OpenAI, tool use, RAG pipelines, prompt engineering, guardrails
- Architecture and code review consulting as well as mentoring in the AI development team
- Integration with Microsoft Graph, Power Platform, and Azure services
- Technologies: React, TypeScript, Anthropic Claude, OpenAI, MCP, RAG, Microsoft Graph, Power Platform, Azure
Abhishek Nair
Last position:
Fullstack Developer at DAMALO GmbH
- Own full-stack development of an AI-native enterprise platform built on TypeScript, React, Vite, tRPC, Hono, and PostgreSQL, delivering AI-powered consulting workflows to B2B clients.
- Designed and shipped a multi-agent AI system using ReAct framework and Claude skills-style workflow patterns, including an intelligent PM assistant with rich system prompts, slash commands, tool integrations, and streaming chat UI.
- Architected an LLM evaluation framework: rubric-based LLM-as-judge, golden datasets, regression testing, and automated quality gating — ensuring consistent AI output quality at scale.
- Integrated LangFuse for end-to-end LLM tracing, conversation replays, and evaluation pipelines, enabling data-driven prompt optimisation that reduced token costs and response variance.
- Built with Drizzle ORM, pgvector, and knowledge graphs for structured data access, semantic search, and relationship-aware AI reasoning across the platform.
- Led TanStack React Query migration across the application — replacing manual state management with centralised caching and automatic refetching, reducing data-fetching boilerplate significantly.
- Practiced AI-native development throughout: Claude Code, Codex, Perplexity SDK, and LLM-assisted testing across the full development lifecycle. Deployed on Vercel + Azure ACA with Biome for linting/formatting.
Srinivasu Kakaraparti
Last position:
Atruvia
Project: Tax Exemption Order Application
The client has an existing application for creating and maintaining tax exemption orders for end customers; design and implementation of a comparable application for internal employees.
- Design and implementation of microservices and the UI for the business area "tax exemption orders" using Domain Driven Design as well as Spring Boot and Angular.
- Implementation of reactive, non-reactive, and asynchronous APIs (Spring REST, WebFlux, GraphQL).
- Development of the Angular application, including state management using Signals, RxJS Observables, and subscriptions.
- Securing the API and the application using OAuth2, JWT, and OpenID Connect.
- Configuration and setup of CI/CD pipelines with Jenkins.
- Collaboration with cross-functional teams and conducting code reviews.
Environment: Java, Spring Boot, Angular 18 & 19 (standalone, signals), RxJs, Bootstrap CSS, Vitesting, OpenShift, Istio, microservices, Kafka, Dynatrace, Jenkins, GitLab, Graylog, Sonar, Oauth2, OracleDB
Lloyd Ntim
Last position:
Lead Frontend Developer at AnzaKen
- Sole owner of all frontend architectural decisions, technology choices, component structure, build pipeline, and standards across the AnzaKen website and product builds
- Built production React components and coached a junior developer through component patterns, state management, and modern frontend practices via pair programming and code review
- Built products and internal tooling with React and Next.js using Claude Code, RAG pipelines, and AI guardrails, emphasizing maintainability, API integration, and delivery speed
- Participated in client pitches and discovery meetings, scoped technical needs, advised on feasibility, and shaped proposals
- Stack: React, TypeScript, Next.js, Node.js, Python, FastAPI, PostgreSQL, Claude Code, RAG, Vercel, Render
Daniel Yokoyama
Last position:
Senior Frontend Developer at node.energy
- Significant enhancement of the B2B React SPA software "opti.node" for commercial operations management for renewable energy plant operators
- Introduced features not previously available on the market, resulting in a significant revenue increase
- Comprehensive automated tests within Storybook
- Introduced a UI library to improve developer experience and speed up feature development by about 40%
- Clear presentation of complex commercial and legal issues, with intuitive UX and UI
- UX consulting to shorten essential interaction flows by 75%
Alex Claes
Last position:
Senior Full-Stack Developer at Umbrella Organization of German Sports Clubs
- Development of a CMS-based online platform as a central hub for multimedia brand communication, focusing on accessibility, web performance, and data protection.
- Technologies: PHP, Craft CMS, Twig, HTML, CSS, JavaScript, Alpine.js, htmx.
Vamsi Krishna Mylu
Last position:
Full Stack .NET Developer at Neusta GmbH
- Implemented and maintained logistics-domain applications using Angular, C#, ASP.NET, HTML5, CSS3, JavaScript, AJAX and Bootstrap
- Analyzed, designed, coded and deployed backend services and integrations using .NET, XML Web Services and RESTful APIs
- Developed automated SSIS packages and scheduled ETL jobs to support data workflows
- Built and maintained Python scripts for automation and prototyping; applied Cursor AI to build/refactor full-stack AI/ML model integrations
- Implemented unit and integration testing (NUnit) and conducted performance tuning for backend services
- Managed source control and CI/CD using GitHub, Azure CI/CD pipelines and TeamCity
Max Degterev
Last position:
Tech Lead, Interim CTO/CPO at MatchDispatch
I worked on automating cold outreach.
- Developed a queue architecture to support the parallel execution of large volumes of background tasks.
- Integrated multiple email delivery providers.
- Implemented an LLM-based data enrichment process.
Technologies: TypeScript, React, Node.js, Next.js, Drizzle ORM, PostgreSQL, Next-Auth, JWT, Docker, Kubernetes, AWS, CloudFlare, Traefik, Groq, Jest, Figma
Nikita Nitichevski
Last position:
Senior Front-End Engineer at Hantverkshjälpen Sverige AB
- Code & project cleanup to accommodate multiple developers
- Implemented project linting (ESLint, Prettier, Husky Hooks)
- Refactored application routing and authentication logic (ReactJS, Next.JS, Recoil)
- Implementing vital UI ideas as standalone features into an administration dashboard (ReactJS, Tailwind CSS, Next.JS, TypeScript)
Igor Frühauf
Last position:
Lead Frontend Developer at Amcon Software GmbH
Technical leadership for implementing accessible frontend components with React and MUI
Analyzed and refactored existing UI structures for semantic HTML usage, ARIA roles, and keyboard navigation
Integrated and used accessibility testing tools like Axe and Lighthouse
Worked closely with UI/UX design, backend development, and QA to ensure a consistent a11y-compliant user experience
Advised the client on implementing legal requirements according to BITV 2.0 / EU Directive 2016/2102
Improved Lighthouse Accessibility Score from 55 to 98
Made the codebase more sustainable by introducing reusable, accessible components
Received positive client feedback and a follow-up contract for future a11y projects
Tools and Technologies: React, MUI, TypeScript, JavaScript, HTML5, CSS3, Node.js, WCAG 2.1 AA, Axe, Lighthouse, SCRUM, Agile, Jira, Bitbucket
Hendrik Belitz
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
Muhammad Ahmed Shehzad
Last position:
Senior Software Engineer at Verbund Pflegehilfe
Own Azure-hosted ASP.NET Core microservices for chronic-care workflows, sustaining 99.8% uptime across 3,000+ patient interactions.
Shape HL7 FHIR-based patient, encounter, and observation profiles delivering a unified source of truth for clinical teams and integrations.
Implement SignalR telemetry, Application Insights alerting, and automated pipelines that surface deteriorating vitals in under three seconds.
Automated consultant outreach by orchestrating Twilio voice campaigns via n8n workflows and VAPI AI assistants, boosting successful client contacts by 55%.
Entlass Manager: Led the end-to-end build of the chronic-care coordination platform, standing up Azure-native microservices, clinical data flows, and patient-facing tooling from initial requirements through production release.
Power Dialer: Built the Twilio-driven consultancy auto-dialer and n8n workflows, raising client reachability to 85%.
Martin Menzel
Last position:
Florio C3G
- App that helps patients schedule their medication, track their symptoms, and biomarkers
- The app is being certified as a medical device
- Technologies: React Native, Expo, Redux Toolkit
Discover over 15,000 top freelancers
Statistics of experts using TanStack Query
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
1.3 years
Positions per freelancer
12
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Automotive, Energy
Certification focus areas
Information Technology, Business Intelligence, Finance
Bachelor's degree or higher
100%
Master's degree or higher
27%
Certifications per freelancer
0
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 TanStack Query
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
Server state
TanStack Query is built for server state in client apps. It handles fetching, caching, background refresh, retries, and synchronization so teams do not write the same data logic again and again. It is often chosen for React apps that need clean data flows and less manual state handling.
Common work
- API data fetching and cache management
- Loading, error, and empty states
- Pagination, infinite lists, and filtering
- Mutations with cache updates and invalidation
- Prefetching and optimistic UI
Ecosystem
Strong specialists know the TanStack family and the React stack around it. They work with query keys, mutations, hydration, devtools, and persistence, and they understand how TanStack Query fits with TypeScript, REST, GraphQL, Next.js, and React Router. Many teams still search for it under the older name React Query, so that experience matters too.
When to bring help
Companies bring in freelance experts when data fetching becomes hard to maintain, when stale data causes bugs, or when pages feel slow because every screen manages requests in a different way. In Germany, this often comes up in product teams that need remote support, but on-site collaboration can help when the app has many connected flows or a shared frontend codebase.
What strong experts do
A good specialist keeps query keys stable, avoids unnecessary refetches, and designs invalidation rules that match the product. They also separate server state from local UI state, which keeps components easier to test and maintain. You should expect clear decisions, not just working code.
Delivery and quality
Deliverables often include a clean query layer, reusable hooks, and guidance for error handling, caching, and background updates. Strong professionals document how data moves through the app and how future experts should extend it. That is what keeps TanStack Query manageable as the product grows.
Frequently asked questions
Before you brief your next project: the most common questions about TanStack Query.
TanStack Query is used to fetch, cache, and refresh server data in client applications, especially React apps. It helps teams handle loading states, retries, mutations, and cache updates without building all of that by hand. It is a good fit for dashboards, content-heavy products, and any interface that depends on frequent API calls.
TanStack Query is the current name. Many people still say React Query, which was the older name, and freelance experts should understand both terms. If you are hiring, look for experience with the modern TanStack package and the React patterns around it.
TanStack Query focuses on server state, while Redux is usually used for broader application state. That means TanStack Query is often simpler when the main problem is API data, caching, and refetching. Many teams still use Redux for local UI state and TanStack Query for requests from the backend.
A strong TanStack Query specialist usually knows React, TypeScript, API design, and the way backend responses affect caching. For some projects, GraphQL, Next.js, testing tools, and knowledge of auth flows also matter. The best experts can explain how query keys, invalidation, and mutations fit into the larger frontend architecture.
TanStack Query work can be small or complex, but the harder projects need someone who has handled shared caches, route transitions, optimistic updates, and refetch rules before. If the app has many screens using the same data, senior experience helps avoid subtle bugs. Simpler feature work may only need a specialist who knows the basics very well.
TanStack Query work is often done well remotely because most tasks are code-focused and easy to review in pull requests. On-site collaboration can help in Germany when product, frontend, and backend experts need to align on data flows, release timing, or a messy legacy app. The best setup depends on how tightly the query layer is tied to the rest of the system.
A solid TanStack Query implementation has clear query keys, predictable invalidation, and no duplicate fetching across the app. You should also see thoughtful handling of errors, loading states, and stale data. If the code is easy to extend and the data rules are documented, that is usually a good sign.
Before starting TanStack Query work, freelancers should ask which endpoints are stable, how data freshness should behave, and where mutations can safely update cached results. They should also ask whether the app uses React Query terms in older code, because many teams still mix the old and new naming. Clear answers here prevent rework later.
The average hourly rate of freelancers in Germany who have used TanStack Query in their recent projects is 85 €, which corresponds to a daily rate of about 684 € based on an 8-hour working day.
Of the freelancers in Germany who have used TanStack Query in their recent projects, 100% hold at least a Bachelor's degree and 27% hold at least a Master's degree.
On average, freelancers in Germany who have used TanStack Query in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 1.3 years.
The most common languages among freelancers in Germany who have used TanStack Query in their recent projects are German (100%), English (100%), and French (15%).
The most common industries among freelancers in Germany who have used TanStack Query in their recent projects are Information Technology (100%), Automotive (54%), and Energy (54%).
The most common business areas among freelancers in Germany who have used TanStack Query in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (62%).
Main locations of FRATCH Experts, who have recently used TanStack Query
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
