Google Cloud Pub/Sub Experts in Berlin
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Meet FRATCH Experts in Berlin, who have recently used Google Cloud Pub/Sub
Haseeb Zahid
Last position:
Senior Data Scientist at WPP MEDIA
- Designed and deployed enterprise Retrieval-Augmented Generation (RAG) applications using LangChain, LangGraph, vector databases, embeddings, and open-source LLMs served through vLLM on GCP GPU infrastructure.
- Built agentic AI workflows using LangGraph with planning, reasoning, tool execution, persistent memory, session management, and Human-in-the-Loop approval mechanisms.
- Developed LLM-powered automation systems integrating BigQuery, SQL pipelines, and external advertising APIs including Meta, TikTok, Amazon, Snapchat, Google, and Pinterest, reducing manual operational workflows.
- Architected multi-agent AI systems for enterprise analytics and decision-support workflows, enabling autonomous task execution and intelligent data interactions.
- Implemented retrieval optimization strategies including multi-retriever architectures, semantic search, context optimization, and query improvement techniques, improving response relevance by approximately 40%.
- Engineered structured prompting strategies, function-calling schemas, and validation workflows to improve reliability of multi-step LLM applications.
- Designed scalable AI services using Python, FastAPI, Cloud Run, Pub/Sub, BigQuery, Docker, and cloud-native deployment architectures.
Ibrahim Hilali
Last position:
Senior Full Stack / AI Engineer at Punktum Digital GmbH
- Context: Healthcare and laboratory teams required faster document analysis, treatment-planning support, and reliable AI workflows for MR/VR-assisted operations.
- Contribution: Built the AI healthcare platform, model/agent workflows, VR-glasses deployment platform, REST APIs, Next.js/React interfaces, and CI/CD pipelines.
- Impact: Delivered a production-ready AI product foundation that improved clinical document review, supported laboratory automation, and made VR fleet deployment manageable across environments.
Tech: TypeScript, Next.js, Node.js, React, Java, Spring Boot, Python, PyTorch, TensorFlow, Docker, PostgreSQL, OpenAPI, GitLab, GitHub Actions.
Mohamed Keita
Last position:
Interim Senior Camunda & BPMN Consultant, Spring Boot & Java Backend Developer at GEMA/IT4IPM GmbH
- Subject matter expert for the client on modeling and developing Camunda BPMN 2.0
- Development of new features and APIs, and coordination of tasks
- Design and development of RESTful APIs with Swagger (code first)
- Creation of target designs, high-level concepts, and requirement specifications
- Analysis and evaluation of alternative solution approaches
- Integration of external IT systems (ANUBIS, SES, ZPS) via Google GCP Pub/Sub and RESTful web services
- Pair programming, code reviews, and collaboration with API product owners
- Consulting on transforming legacy BPMN workflows and configuring Camunda BPM
- BPMN and DMN modeling and implementation in short iterations
- Operational support, bug fixing, and knowledge documentation
- Use of TDD, static code analysis with SonarQube, and integration tests
- Automation of test cases in Java and analysis of stack traces/logs on GCP-PROD
- Identification and execution of test data and documentation of test results
Olaf Nouvortne
Last position:
Frontend Engineer at Danaher/Hach Lange GmbH
- Developed a SolidJS frontend UI for a spectrometric water analysis system on an ARM-based embedded Linux platform
- Prototyped UI in TypeScript React/Nx with LitElements and MQTT integration
- Built production UI using SolidJS, SUID, i18next, Ajv, MQTT.js, C3.js
- Refined requirements with UX team and water analysis system engineers
- Defined and documented system architecture, MQTT message formats, frontend architecture, and development setup
- Set up frontend system from scratch, implemented domain-oriented type system, UI components, and application state
- Managed MQTT pub/sub services and schema-based message validation in frontend
- Coached two junior frontend developers
- Worked in an agile remote team using JIRA, Git, and Bitbucket
Edoardo Pedrotti
Last position:
Lead Backend Developer at Aware
Led backend engineering across core domains (main backend, notifications, medical knowledge base, results processing), owning delivery quality, team growth, and engineering standards.
Signature Outcomes
Shipped a flexible, no-code membership platform (pricing, packages, duration), enabling commercial changes without engineering involvement and keeping membership tiers coherent over time.
Built a high-impact backend team through mentorship, coaching engineers into independent contributors and establishing onboarding documentation that enabled fast ramp-up.
Scaled the team from 2 → 5 engineers while maintaining delivery cadence and code quality; owned hiring pipelines and onboarding.
Partnered closely with Product during design to assess feasibility, sequence work, and make pragmatic trade-offs between speed, tech debt, and long-term maintainability.
Institutionalized testing and simplicity as defaults, enforcing high test coverage and a “simple-first” architecture approach.
Tech & Practices
Stack: Node.js (TypeScript), Express, PostgreSQL; microservices (Node & Go); event-driven async jobs.
Practices: Testing as a release gate, lightweight design reviews, iterative delivery, documentation-driven onboarding.
Compliance & Security: Led implementation of Privacy Officer recommendations (GDPR and German healthcare regulations).
Smit Kevadiya
Last position:
Software Engineer (Backend & API Lead) at Surpeats
- Backend & API architecture: Independently architected a scalable Node.js backend and RESTful API to handle a high volume of transactions, ensuring robust data management for users, restaurants, and administrators.
- Microservices & infrastructure: Engineered a sophisticated database architecture using PostgreSQL with geographic query optimization. Designed and deployed a robust infrastructure with three separate microservice servers and a database server.
- Performance & scalability: Implemented Redis caching and performed SQL query optimization to improve application performance and reduce load on the database, enhancing responsiveness for real-time services.
- Security & authentication: Integrated secure payment processing via Razorpay and implemented robust middleware for JWT authentication to ensure secure transactions and data integrity.
- CI/CD & deployment: Established a robust CI/CD pipeline using Docker and GitHub Actions for automated and reliable deployment, showcasing fluency in modern DevOps practices.
Discover over 15,000 top freelancers
Statistics of experts using Google Cloud Pub/Sub
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
1.3 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Healthcare, Manufacturing
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100%
Master's degree or higher
80%
Certifications per freelancer
2
Most common languages
English, German, Arabic
Speak two or more languages
67%
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 Berlin 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 Berlin using Google Cloud Pub/Sub
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
Event streaming
Google Cloud Pub/Sub is Google’s managed messaging service for event-driven systems. It moves messages between producers and consumers without tight coupling, so teams can separate services cleanly and react to changes fast.
Common uses
- Microservice communication
- Event ingestion and fan-out
- Asynchronous task handling
- Data pipeline triggers
- Real-time notifications
Core skills
Strong specialists understand topics, subscriptions, push and pull delivery, ordering, retries, and dead-letter handling. They also work with schemas, message attributes, and idempotent consumers so systems stay stable under load.
Ecosystem fit
Pub/Sub often sits next to Cloud Run, GKE, Dataflow, BigQuery, Cloud Functions, and IAM. In Berlin, it is common in teams building SaaS products, logistics flows, media pipelines, and data-heavy cloud services across mixed in-office and remote setups.
When to bring help
Companies bring in freelance experts when message loss, duplicate processing, or slow consumers start to hurt delivery. They also help during migrations from older queues, when a Google Pub/Sub design needs review, or when teams want cleaner observability and safer retries.
What good looks like
A strong professional keeps the design simple, documents topic and subscription rules clearly, and tests failure paths early. They know the tradeoffs between Pub/Sub and alternatives like Kafka or RabbitMQ, and they choose the right pattern for throughput, latency, and operations.
Frequently asked questions
What clients ask us most about Google Cloud Pub/Sub — answered in short.
Google Cloud Pub/Sub is used to move messages between parts of a system without direct coupling. Companies use it for event delivery, background processing, fan-out workflows, and data pipeline triggers. It fits well when services must react to events instead of polling for changes.
Pub/Sub is a managed cloud service, so teams avoid running brokers themselves. Compared with Kafka, it is often simpler to operate; compared with RabbitMQ, it is usually better suited to large-scale event distribution than complex broker-side routing. The right choice depends on message patterns, ordering needs, and operational depth.
A strong Google Cloud Pub/Sub specialist usually knows Cloud Run, GKE, Dataflow, BigQuery, IAM, and monitoring tools. Practical skills in schema design, retries, dead-letter topics, and idempotent consumers matter just as much. Good cloud networking knowledge also helps when private services and secure service accounts are involved.
A Google Pub/Sub project can be small if the use case is simple, but production systems need someone who understands delivery semantics and failure handling. The more important question is whether the specialist has shipped systems with retries, ordering, and consumer scaling. For Berlin teams, that often matters more than a formal title or a broad cloud resume.
Most Google Cloud Pub/Sub work can be done remotely because the core tasks are design, implementation guidance, and review. On-site time in Berlin can help when the team needs workshop-style alignment across product, data, and service owners. Hybrid collaboration is common when the system touches many internal services.
A good Pub/Sub professional explains message flow clearly and asks about retries, ordering, duplicate handling, and observability early. They do not stop at basic setup; they think through consumer behavior, failure recovery, and how the system will evolve. Clear diagrams, focused tradeoff discussions, and clean documentation are strong signs.
The biggest mistakes with Google Cloud Pub/Sub are assuming messages arrive only once, ignoring retry behavior, and letting consumers do too much work. Teams also run into trouble when they skip dead-letter handling or do not define clear ownership for subscriptions. Careful design prevents these issues before they reach production.
Yes, Google Cloud Pub/Sub is commonly referred to as Google Pub/Sub or GCP Pub/Sub. People still search under the older wording because the product name and the cloud vendor name are often used together. For hiring, the useful question is whether the freelancer has worked with the managed Pub/Sub service in real systems.
The average hourly rate of freelancers in Berlin, Germany who have used Google Cloud Pub/Sub in their recent projects is 81 €, which corresponds to a daily rate of about 648 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Google Cloud Pub/Sub in their recent projects, 100% hold at least a Bachelor's degree and 80% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Google Cloud Pub/Sub in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.3 years.
The most common languages among freelancers in Berlin, Germany who have used Google Cloud Pub/Sub in their recent projects are English (83%), German (67%), and Arabic (17%).
The most common industries among freelancers in Berlin, Germany who have used Google Cloud Pub/Sub in their recent projects are Information Technology (100%), Healthcare (67%), and Manufacturing (50%).
The most common business areas among freelancers in Berlin, Germany who have used Google Cloud Pub/Sub in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (83%).
Main locations of FRATCH Experts, who have recently used Google Cloud Pub/Sub
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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