Google Cloud Platform Experts in Nuremberg
in minutes with vetted freelancers and the power of AI from over 15,000 CVs.Hire experts who work with Google Cloud Platform, GCP, and Google Cloud on cloud migration, Kubernetes on GKE, data pipelines, and secure production setups. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Nuremberg, who have recently used Google Cloud Platform
Oleg Orlov
Last position:
Senior Software Developer / BI Integration Developer Power BI, C# at Telecommunications
Embedded Analytics & AI-assisted BI
Design and development of an integrated analytics solution based on ASP.NET Core, Power BI Embedded, and LLM services to provide contextual business information.
Development of an AI agent with Function/Tool Calling for secure orchestration of REST APIs, SQL data sources, and technical services within defined business processes.
Build-up of automated BI workflows including workspace management, deployment processes, and scheduled refresh via the Power BI REST API.
Implementation of secure service-to-service communication with Microsoft Entra ID and service principal, as well as integration into existing enterprise system landscapes.
Technologies: ASP.NET Core, C#/.NET, Power BI Embedded, Power BI REST API, LLM API, AI Agents, Function/Tool Calling, Entra ID
Jan Miltner
Last position:
Managing Director at Nexcent GmbH
- IT consulting
- Power Platform & Databricks
- AI software development (custom software)
- Commercial responsibility for the company
Partha Nandi
Last position:
AI Software Developer at Fraunhofer IIS
- Built a custom AI chatbot for an e-commerce client using GPT-4 and LangChain with RAG, reducing customer support ticket volume by 45% and improving response accuracy to 92%.
- Designed and deployed an intelligent document processing system using LlamaIndex, Pinecone, and FastAPI for a FinTech startup, enabling semantic search across 100K+ financial documents.
- Developed multi-agent AI workflows using CrewAI and LangGraph for a marketing agency, automating lead research, content generation, and outreach — saving 20+ hours/week of manual work.
- Created AI-powered automation pipelines using n8n, Make, and Zapier integrated with CRMs (GoHighLevel, HubSpot), reducing manual data entry by 80% for a real estate firm.
- Delivered prompt engineering and LLM fine-tuning consulting for multiple clients, optimizing AI model outputs for customer support, content creation, and data extraction use cases.
- Built production-ready REST APIs with Python and FastAPI to serve AI models on AWS and GCP, handling 10K+ daily requests with 99.9% uptime.
Michael Gaskin
Last position:
Lead Global eCommerce Operations at PUMAGroup
- Bedrock technology operations role providing the foundations on which PUMA's global product teams build PUMA.com and associated systems
- Managed a €3.5 million CAPEX portfolio including ~20 externals and 16 platform and tooling vendors
- Started up and led five functional teams for platform engineering, cloud administration, edge technology, continuous performance testing, and L2 support / incident management
- Person of last resort for mysteries, intractable bugs, compliance crises, litigation support, and black-hole issues where ownership was unclear or contested
- Sole author and driver of a multi-million-euro, multi-year RFP for Global Operations Center serving the direct-to-consumer technology estate for eCommerce, order management, and brick-and-mortar retail tech support
- Conceived, designed, developed and productionized Order Viewer, a secure internal application providing observability into PUMA.com order data at sub-second latency; independently delivered architecture, implementation, GCP deployment, SSO integration and organizational compliance.
Jozsef Ferincz
Last position:
IT project management, introduction of AI-supported software development
- Industry: software manufacturer
- Tasks: project management; tracking and coordination of projects; stakeholder management; change management; prioritization of requirements; alignment of architecture; supplier management (internal and external); release management; monitoring defect resolution with the teams; AI-supported software development, software testing and code analysis; AI prompting, prompt engineering
- Software: Jira, Confluence, MS Project, MS Teams
- Environment: IT, software development, agile, artificial intelligence (AI)
Vladimir Ergovic
Last position:
Technical Project Manager / Freelancer at Deutsche Bank
- Engaged within the Information and Security Management division for a Proof of Concept (PoC) project focused on developing a Client Security Portal.
- Managed project resources across the UK, India, and Germany.
- Architected and deployed the PoC solution leveraging a modern Java stack, Google Cloud Platform (GCP) with Kubernetes, and Active Directory (Entra ID) for authentication.
- Implemented OAuth 2.0 for authorization.
- Ensured DORA alignment according to Deutsche Bank security rules and regulatory preparation.
Muntaha Shams
Last position:
AI Engineer (Freelance) at Upwork
- Delivered 40+ AI projects and 23 strategic consultations for international clients (US, Europe, Middle East), achieving a 98% job success rate and building long-term partnerships.
- Developed and deployed production-grade AI solutions in computer vision, NLP, deep learning, and generative AI (LLMs, RAG pipelines, Stable Diffusion, OCR, chatbots), enabling automation and improving client efficiency by up to 70%.
- Designed and fine-tuned large language models (LLMs), including prompt engineering and integration with enterprise knowledge bases, leading to smarter decision-making and reduced manual effort.
- Built real-time computer vision applications (detection, segmentation, OCR) and integrated them into business systems, significantly enhancing accuracy and scalability.
- Consulted startups and enterprises on AI strategy, architecture, and deployment (cloud & on-premise), accelerating product development and reducing time-to-market.
- Managed complete AI project lifecycles (requirements gathering, solution design, deployment, support) in agile, international, and cross-functional environments, ensuring high-quality delivery.
Elnazossadat Hosseininia
Last position:
Data Analyst at Siemens Healthineers
- Developed KPI dashboards using Power BI and DAX for 4+ business units, improving reporting transparency and strategic decision support.
- Migrated enterprise finance data views into dbt models, implementing modular SQL transformations, version-controlled data pipelines, and automated documentation to create a scalable analytics layer.
- Built dimensional data models in Snowflake for enterprise finance data, enabling scalable forecasting and supporting executive decision-making.
- Designed end-to-end ETL/ELT pipelines using Snowflake and SAP HANA, integrating data from 3+ enterprise systems.
- Automated monthly reporting workflows using SQL and Power BI, delivering strong business impact by reducing manual effort by 80%.
- Collaborated with finance stakeholders to translate business requirements into analytical data models, supporting strategic decision-making cycles.
- Delivered ad-hoc financial reports using Power BI, reducing turnaround time by 60%.
- Implemented data validation logic in SQL, resolving 95% of recurring data quality issues.
Vasuraj Bhatia
Last position:
Cloud Data Analyst at Bhatia Reply
- Analyzed 50K+ customer records using SQL and Python in a cloud services firm, identifying trends
- Designed interactive Tableau dashboards for sales and marketing stakeholders, reducing report
- Developed ARIMA and AutoARIMA time series models to forecast AWS resource utilization, cutting
- Automated ETL pipelines with Python, improving workflow efficiency by 20% for scalable data
- Collaborated with DevOps teams to deploy 3 machine learning models in production using Docker
Ekaansh Khosla
Last position:
Master thesis - LLM powered RAG System at Friedrich-Alexander-Universität Erlangen-Nürnberg
- Developed a RAG system to automate student queries with 96% accuracy, built using FastAPI and LangChain and deployed on the university server with Docker.
- Evaluated performance using RAGAS, comparing LLMs (Llama3.3, Llama3.1, GPT-4o-mini), vector embeddings, and various retrieval techniques within the RAG pipeline.
- Technical Skills: Python, FastAPI, Docker, AWS, LangChain, LangSmith, NLP, HTML, CSS
Torben Möller
Last position:
Solution Architect (Volunteer) at Stop The Traffik
- Designed 3 architectures to determine the most cost-effective solution regarding customer requirements
- Created the production and test environments from scratch
- Tech Stack: AWS (Serverless, CI/CD), GitHub
Ralf Thomas
Last position:
Director Global Cloud - Quality & Compliancy at Eviden
- Leading a global team for quality assurance and compliance in cloud services
Christian Piegert
Last position:
Lead Consultant at masoona Consulting GmbH
Discover over 15,000 top freelancers
Statistics of experts using Google Cloud Platform
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 16 years)
Position duration
2.2 years (Germany: 2.1 years)
Positions per freelancer
9 (Germany: 11)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
69% (Germany: 61%)
Doctorate
8% (Germany: 9%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 97%)
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 Nuremberg 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 Nuremberg using Google Cloud Platform
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
Cloud foundation
Google Cloud Platform is the cloud stack many companies use to run apps, data, and infrastructure without managing local hardware. It covers compute, storage, networking, identity, and managed services that support modern software delivery.
Typical work
- Set up projects, billing, and access controls
- Build workloads on Compute Engine, GKE, or Cloud Run
- Move systems from on-premise or another cloud
- Design storage, backup, and disaster recovery
- Connect data, APIs, and internal business tools
Tooling stack
Strong specialists know the wider Google Cloud ecosystem, not only the core product. That usually includes GKE, Cloud Run, BigQuery, Cloud Storage, Pub/Sub, IAM, VPC, and Terraform, plus logging and monitoring.
When to bring in help
Companies bring in freelance expertise when a migration stalls, a platform needs hardening, or a new service must go live cleanly. In Nuremberg, this often suits teams that want local workshops in German or nearby on-site support, while daily delivery can still run remotely.
What strong experts deliver
Good professionals write clear infrastructure, keep environments repeatable, and reduce surprise costs and security gaps. They document decisions, align services with business needs, and know how to troubleshoot networking, permissions, and release issues under pressure.
Hiring signals
- You need a secure landing zone for a new cloud setup
- Your data team wants BigQuery or pipeline support
- GKE, Cloud Run, or IAM problems slow delivery
- You need Google Cloud, GCP, or cloud architecture review
- You want a specialist who can work with internal teams fast
Frequently asked questions
Before you brief your next project: the most common questions about Google Cloud Platform.
Google Cloud Platform is used to run web apps, APIs, data platforms, batch jobs, and internal systems in Google’s cloud. Companies also use Google Cloud for storage, networking, identity, analytics, and managed Kubernetes when they want less infrastructure work.
GCP is the common shorthand, and many people also say Google Cloud. The names are used interchangeably in day-to-day hiring, even though Google Cloud Platform is the full product name.
A strong Google Cloud Platform specialist is useful when a migration is risky, a cloud setup needs structure, or a platform must be secured before launch. The same applies when teams need help with IAM, GKE, BigQuery, networking, or cost control.
A good Google Cloud Platform professional often also knows Terraform, Kubernetes, Linux, networking, and CI/CD. For data-heavy work, BigQuery, Pub/Sub, Cloud Storage, and service-to-service authentication are common adjacent skills.
Google Cloud Platform is often chosen for managed data services, strong Kubernetes support, and a clean path to modern app hosting. AWS and Azure are the usual alternatives, so the right choice depends on existing systems, team skills, and the services already in use.
A Google Cloud Platform project can be handled by a focused specialist if the scope is clear, such as a single migration, a GKE rollout, or a BigQuery setup. Larger programs usually need someone who can cover architecture, security, and delivery across several services.
Yes, Google Cloud Platform work is often remote because most tasks live in the console, infrastructure code, and CI/CD tools. For Nuremberg teams, on-site time is mainly useful for workshops, stakeholder alignment, or early architecture decisions.
Look for Google Cloud Platform experts who can explain trade-offs, not just list services. Strong signs are clear documentation, secure IAM design, repeatable deployments, and examples of solving real issues in networking, operations, or data pipelines.
The average hourly rate of freelancers in Nuremberg, Germany who have used Google Cloud Platform in their recent projects is 91 €, which corresponds to a daily rate of about 728 € based on an 8-hour working day.
Of the freelancers in Nuremberg, Germany who have used Google Cloud Platform in their recent projects, 100% hold at least a Bachelor's degree, 69% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Nuremberg, Germany who have used Google Cloud Platform in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Nuremberg, Germany who have used Google Cloud Platform in their recent projects are German (100%), English (100%), and Spanish (23%).
The most common industries among freelancers in Nuremberg, Germany who have used Google Cloud Platform in their recent projects are Information Technology (92%), Banking and Finance (62%), and Retail (54%).
The most common business areas among freelancers in Nuremberg, Germany who have used Google Cloud Platform in their recent projects are Information Technology (100%), Product Development (85%), and Business Intelligence (69%).
Main locations of FRATCH Experts, who have recently used Google Cloud Platform
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.
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