TanStack Query Experts in Berlin
, matched with vetted freelancers in minutesHire experts who manage server state, caching and asynchronous data flows with TanStack Query, React Query and related TanStack tools. Find specialists for responsive web applications, API integrations and migration work through fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used TanStack Query
Murad H.
Last position:
Founder & Technical Lead at Hubpoint.Ai
- Founded an AI-powered scheduling and business-management SaaS for SMBs, owning technology strategy, architecture, product development, UX, billing and go-to-market execution.
- Architected and shipped a multi-tenant platform with REST APIs, RBAC, CRM, billing and notifications, powering the manager dashboard, admin console, booking experience and iOS/Android applications.
- Led and mentored 7 software engineers, 1 DevOps engineer, 1 QA engineer and 1 UX/UI designer, while remaining hands-on across backend, frontend and product delivery.
- Built AI voice and chat agents using Python/FastAPI, OpenAI and Anthropic APIs, RAG, pgvector and tool calling; integrated Twilio, Google Calendar/Meet, Stripe and Firebase.
- Owned production infrastructure and automated delivery across separate environments using Docker, Nginx, GitHub Actions and Grafana; represented the company at accelerators and international startup events.
Selected stack: Python, FastAPI, Node.js, Vue 3, React/Next.js, React Native, PostgreSQL, Redis, Docker
Abhishek N.
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.
Vamsi K.
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 D.
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
Muhammad A.
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 M.
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
15 years
Position duration
1.5 years
Positions per freelancer
10
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Energy, Healthcare
Bachelor's degree or higher
100%
Master's degree or higher
67%
Certifications per freelancer
1
Most common languages
German, English, Azerbaijani
Speak two or more languages
100%
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 Berlin 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 Berlin 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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
TanStack Query 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%)
- Energy (67%)
- Healthcare (67%)
- Automotive (50%)
- Transportation (50%)
- Education (33%)
- Manufacturing (33%)
- Utilities (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Server-state foundation
TanStack Query is a JavaScript and TypeScript library for fetching, caching, synchronizing and updating server state in client applications. It separates remote data from local interface state and provides query, mutation and cache primitives for modern web products. The library was previously known as React Query and now supports several frontend frameworks through the TanStack ecosystem.
Applications and workflows
Companies use TanStack Query for interfaces that depend on frequently changing API data, from customer portals and commerce journeys to internal operations tools and SaaS products. It helps teams handle loading, error and stale states without repeating custom request logic.
- Fetch and cache REST or GraphQL resources
- Coordinate mutations, invalidation and optimistic updates
- Prefetch data for faster route changes
- Synchronize views after edits, uploads or background refreshes
Ecosystem and tooling
Strong work with TanStack Query includes React Query patterns, query keys, query functions, mutation lifecycles and cache configuration. Specialists often combine it with TypeScript, React, Next.js, Vue, Solid, Svelte or Angular, plus fetch, Axios and API schema tools. Testing commonly involves mocked requests, component tests and end-to-end browser flows.
When expertise matters
Freelance expertise is useful when a codebase has duplicated request handling, inconsistent loading states or caches that show outdated information. It also helps during a migration from hand-built hooks, Redux data flows or another fetching library. In Berlin, specialists may support local product teams on site, remotely or in a hybrid setup, with English commonly used in distributed technical collaboration.
- Design a consistent query-key and cache strategy
- Refactor fragile data-fetching hooks
- Integrate authentication, pagination and infinite queries
- Improve testing, hydration and server-rendered data flows
Quality signals
A strong professional understands that TanStack Query is not a replacement for every form or UI state solution. They define ownership between server state and local state, choose stale-time and garbage-collection settings deliberately, and account for retries, cancellation, race conditions and offline behavior. They can explain cache invalidation clearly and keep query logic easy to test.
Project collaboration
Before work starts, clarify the framework, API style, rendering model and current state-management approach. Ask for a plan covering query keys, mutations, error boundaries, cache updates and rollout risks. A capable specialist can review existing patterns, communicate trade-offs and leave behind documented, maintainable code rather than a collection of isolated hooks.
Frequently asked questions
Curious about TanStack Query? Here are the answers that come up again and again.
TanStack Query manages server state in web applications. It fetches API data, caches responses, tracks loading and error states, refreshes stale resources and coordinates mutations without requiring teams to build these mechanisms from scratch.
React Query, the former name for TanStack Query, focuses specifically on asynchronous server state. Redux can manage broader application state, while a custom data layer offers more control but usually requires teams to implement caching, invalidation and synchronization themselves.
A strong TanStack Query specialist usually works comfortably with TypeScript, React or another supported frontend framework, API design and authentication. Useful adjacent skills include Next.js rendering patterns, GraphQL or REST, testing, accessibility and browser performance.
The right level depends on the assignment. A small integration may need familiarity with queries and mutations, while a migration or complex application benefits from a professional who can design cache boundaries, hydration, optimistic updates and failure handling.
TanStack Query fits remote and hybrid collaboration because its main decisions can be reviewed in code, tests and technical documentation. Berlin teams should agree on communication routines, repository practices and language expectations early, especially when specialists work across locations.
Bring in a TanStack Query freelancer when data-fetching logic is duplicated, updates leave stale screens or a migration is blocking delivery. An external specialist can audit query keys, cache behavior and mutation flows, then implement a focused improvement without taking ownership of unrelated product areas.
Look for clear query-key design, predictable invalidation and tests for loading, failure, retry and mutation cases. A good TanStack Query professional also explains why data belongs in the server-state cache or in local state and checks behavior during navigation, refreshes and concurrent updates.
No. TanStack Query handles remote data and its lifecycle, but it does not replace every solution for forms, menus, drafts or other local interaction state. Mature implementations combine it with a suitable local-state approach and avoid copying server data into a second store without a clear reason.
The average hourly rate of freelancers in Berlin, Germany who have used TanStack Query in their recent projects is 84 €, which corresponds to a daily rate of about 672 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used TanStack Query 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 Berlin, Germany who have used TanStack Query in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Berlin, Germany who have used TanStack Query in their recent projects are German (100%), English (100%), and Azerbaijani (17%).
The most common industries among freelancers in Berlin, Germany who have used TanStack Query in their recent projects are Information Technology (100%), Energy (67%), and Healthcare (67%).
The most common business areas among freelancers in Berlin, Germany who have used TanStack Query in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (83%).
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.
Countries:
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
