
Amazon SNS Expert in Berlin
for reliable event delivery, matched in minutes with vetted and available freelancersHire experts who design notification flows, fan-out messaging and event-driven integrations with Amazon SNS, Amazon SQS and AWS Lambda. FRATCH finds a precise match quickly among vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used Amazon SNS
Rüdiger S.
Last position:
Full-Stack Software Engineer / Consultant for Digitalization at ARTEVENT
Designed, built, and launched an internal event planning web application used by over 100 department leads for a large event, despite having no dedicated testing phase.
Ensured smooth, failure-free operation during first production use, leading to the tool being adopted for future events.
Automated catering calculations and related workflows, significantly reducing email communication and manual computation effort for meal planning.
Managed deployment and hosting on a Linux server using Coolify, including application setup and runtime operations.
Hired and guided a communication designer on UX while independently owning all technical decisions and implementation.
Jorge P.
Last position:
Software Engineer – AWS and Kubernetes Specialist at Citti
- Creation, maintenance and hardening of Kubernetes clusters employing Ansible and ArgoCD
- Keywords: Ansible, AWX, Kubernetes, NetApp, Prometheus, CI/CD ArgoCD, SSO, Fluent-bit, HAProxy, Calico, Keycloak, oauth2-proxy, SealedSecrets, kubeseal, Aqua kube-bench, CIS-Benchmarks, Aqua Trivy operator
Santhosh K.
Last position:
Freelance Software Engineer at Zalando SE
- Drive migration of enterprise authorization platform from Styra DAS to open-source OPA via Skipper (Zalando's Golang-based ingress proxy) integration
- Optimise k8s resources and integrate native Prometheus metrics with OPA
- Migrate from internal monitoring solution to Prometheus CRs + Dash0
Tech Stack: Java/Kotlin, Golang, Python, Spring Boot, AWS, Kubernetes, Docker, OpenTofu, Prometheus, Grafana
Daniel B.
Last position:
Senior Cloud Consultant and Developer at SDIA/Leitmotiv
- Consulting an NGO in the field of data center sustainability in publicly funded projects (BMUKN with NADIKI and Umweltbundesamt with SIEC)
- Development of Python APIs and web applications, deployment on AWS/ECS with Terraform
- Collecting power consumption metrics for servers, CPUs, GPUs running AI workloads
- Technologies used: AWS, EC2, ECS, Fargate, CloudMap, VPC, Route53, Lambda, EventBridge, CodeBuild/CodePipeline/CodeDeploy, Terraform, Docker, Linux, Bash scripting, Python, Flask, SQLAlchemy, SQL, MariaDB, InfluxDB, Telegraf, Prometheus, Zabbix, Kubernetes, Letsencrypt, certificate management
Qaiser A.
Last position:
Freelance Lead DevOps Engineer at Schwarz Gruppe Produktion
Bootstrapping a CloudOps team and building a multi-cloud provider backend for a low-code Internal Developer Platform (IDP) with env zero
Introducing user story mapping, ADRs, milestones, and backlog management
Designing and developing core APIs, setting up CI/CD pipelines, OpenTofu/Terraform scripts
Representing and communicating the team with third-party stakeholders (e.g. env zero)
(Cross-)team coaching on DevOps, software design, Terraform, Golang, and agile practices
Vili D.
Last position:
Technical Lead, Data Engineer at Mercedes-Benz Consulting
- Optimized the data architecture (medallion) to better decouple processing stages and improve transparency and reproducibility
- Ensured technical quality of data processing in Databricks by introducing schema enforcement, data quality checks and a structured data architecture
- Orchestrated pipelines with Azure Data Factory
- Professionalized and automated the development and deployment process by integrating Git and GitHub Actions
- Led the Data Engineering team (3 members) in a functional role
- Conducted workshops to optimize and stabilize the data platform and the development process
- Collected and prioritized new requests, maintained the product backlog
- Technologies: Microsoft Azure (Data Lake, Data Factory), Databricks, Apache Spark (PySpark), Python, SQL, Git, Confluence, Power BI, Power Apps, Dataverse, MS SharePoint, Mural
Kalpesh P.
Last position:
Intern Java Developer at Unzer GmbH
- Developed a Proof of Concept for distributed tracing using OpenTelemetry within a microservices architecture, enhancing system observability and reducing mean-time-to-resolution for issues.
- Built and maintained backend services using Java and Spring Boot, ensuring high reliability and performance for payment transaction workflows.
- Implemented comprehensive automated testing with JUnit and Mockito, achieving 95% test coverage to ensure code quality and maintainability.
- Gained insight into payment transaction workflows, validating end-to-end system reliability and gaining domain knowledge in financial processes.
- Tech used: Java, Spring Boot, Microservices, REST API, Kafka, Grafana, Datadog, Docker, MongoDB
Mohamed R.
Last position:
Software Engineer at Clark
- Led the implementation of a critical backend initiative for the offer teasing feature, resulting in a 10% increase in users actively seeking counter offers.
- Contributed to high-impact features such as instant advice, customer ratings, and automatic contract switching, leading to increased user engagement and conversion rates.
- Built a gRPC service to integrate internal systems with the ERP platform, improving the reliability and observability of data exchange.
- Refactored parts of the legacy Ruby codebase into a more maintainable and scalable Elixir-based architecture.
- Delivered a greenfield project from concept to production on a new stack, integrating with internal services and managing infrastructure setup and deployment.
- Collaborated closely with the front-end team, product managers, and cross-functional team members to ensure the seamless integration of backend features, fostering effective communication and collaboration across disciplines.
- Stack: Ruby, Ruby on Rails, Elixir, OTP, Phoenix, REST, GraphQL, gRPC, PostgreSQL, AWS, Cognito, Lambda, SNS, SQS, Terraform, Helm, Docker, CI/CD, Grafana, Prometheus, Git, Agile Methodology.
Kim K.
Last position:
Lead Fullstack Node/React Developer at Rytle
- Development of React.js / Next.js web application, displaying live sensor data and optimized routes on interactive maps.
- Architected and managed Node.js backend services in Docker containers integrated with Kafka, responsible for order management and routing.
- Guided and supported junior developers in their professional growth as team lead developer.
- Technologies: node.js, React, TypeScript, Postgres, Docker, Kafka, Github CI, ArgoCD
Luca D.
Last position:
CTO & Co-Founder at Lucent Data GmbH
- Built a warehouse native customer data platform from scratch
- Successfully onboarded the first customer
- Built the first engineering team of 3 engineers
- Raised 1M€ in venture capital
Haseeb A.
Last position:
Full Stack Ruby on Rails Developer at FINLINK
- Delivered MVP for strategic enterprise client including core Links banking APIs and interest rate calculations
- Integrated German banking APIs for automated credit checks
- Built lead distribution system that improved sales team efficiency by 40%
- Developed microservices architecture for mortgage offer generation from multiple banks
- Automated document verification process for customer KYC and income validation
- Implemented GDPR-compliant consent management for customer data protection
- Deployed and managed services using Kubernetes with custom YAML configurations
- Wrote comprehensive test coverage using Rspec ensuring code reliability
- Reduced customer onboarding time by 30% through workflow optimization
Fabian S.
Last position:
Founder at eudaiTec GmbH
- Founded eudaiTec UG in 2021 and GmbH in March 2022
- Founded eudaiTec Private Limited, India in 2022
- Architected and developed the serverless and microservices-based application meetUs (React Native, Serverless Framework, AWS Lambda, AWS DynamoDB, AWS SNS & SQS)
- Conducted requirements engineering, pre-prototyping and concept development for the web application Trustbuilder
- Developed the cross-platform app conneo (React Native)
- Provided IT consulting for ERP rollout project management (end-to-end testing)
- Provided IT consulting for infrastructure setup at WvSC
Henning P.
Last position:
Backend Systems Development at Deutsche Bank/DWS/Morgenfund
- Developed backend systems for the DWS Investment App, a white-label investment solution (robo-advisor), and an investment solution for institutional clients.
- Java 8-17, Kotlin, Spring Boot, Spring MVC, OpenAPI 3.0, JPA, JDBI, Oracle, Hazelcast, JXLS, Apache POI, Apache PDFBox, Apache Kafka & Avro, Active MQ, Elasticsearch, React Native, Spock Test, IntelliJ IDEA, Kubernetes, Helm, Microservices/Netflix-Stack, TeamCity, Splunk.
- Kanban team, continuous integration.
- Migrated existing applications from Deutsche Bank's private cloud environment to Azure as part of a carve-out.
Robert H.
Last position:
Senior Software Engineer at Zalando SE
Discover over 15,000 top freelancers
Statistics of experts using Amazon SNS
Aggregated from the professional profiles of matched freelancers.
Experience
18 years (Germany: 19 years)

Position duration
1.8 years (Germany: 1.7 years)

Positions per freelancer
12 (Germany: 13)

Top business areas
Information Technology, Product Development, Quality Assurance

Top industries
Information Technology, Banking and Finance, Retail

Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
100% (Germany: 88%)
Master's degree or higher
45% (Germany: 56%)
Doctorate
9% (Germany: 10%)

Certifications per freelancer
2

Most common languages
German, English, Arabic

Speak two or more languages
100% (Germany: 99%)
Based on our profile pool as of 19 Sep 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 Amazon SNS
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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Amazon SNS 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 (57%)
- Retail (57%)
- Automotive (50%)
- Media and Entertainment (50%)
- Education (29%)
- Professional Services (29%)
- Tourism (29%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Messaging foundation
Amazon Simple Notification Service, commonly called Amazon SNS, is a managed publish-subscribe service on AWS. It sends messages from a topic to many subscribers, including applications, queues, webhooks, email endpoints and mobile push services. Companies use it to separate event producers from the systems that consume their events.
Event-driven delivery
Amazon SNS supports fan-out patterns, where one event reaches several downstream services without custom broker management. It is useful for order updates, billing alerts, monitoring notifications, workflow triggers and integrations between distributed applications. Message filtering helps subscribers receive only the events they need.
AWS ecosystem
Professionals working with Amazon SNS usually connect it with the wider AWS messaging and serverless stack:
- Amazon SQS for durable queue-based processing
- AWS Lambda for event-driven execution
- Amazon EventBridge for broader event routing
- AWS CloudWatch for monitoring and alerting
- AWS IAM and KMS for access control and encryption
Delivery and operations
Strong implementations define topic and subscription policies, delivery retries, dead-letter handling and message attributes. They also account for duplicate delivery, ordering requirements, endpoint validation and payload design. Observability should make failed deliveries, throttling and processing delays easy to investigate.
When expertise helps
Companies often bring in freelance specialists when they are modernising an application, moving workloads into AWS or replacing tightly coupled integrations. Expertise is especially valuable when teams need to:
- Design a reliable publish-subscribe architecture
- Connect SNS topics with queues, functions or external webhooks
- Migrate notification flows without interrupting operations
- Review IAM policies, retries and failure paths
- Prepare infrastructure as code and deployment workflows
Signs of quality
A capable professional can explain why Amazon SNS fits the delivery pattern and where another AWS service is more suitable. They test retries, duplicate messages, endpoint failures and permission boundaries instead of focusing only on a successful demo. In Berlin-based teams, clear English communication and practical coordination across remote or on-site groups can be just as important as AWS expertise.
Frequently asked questions
Before you brief your next project: the most common questions about Amazon SNS.
Amazon SNS is used to publish messages and notifications from one producer to multiple subscribers. Common applications include service-to-service events, operational alerts, customer notifications, mobile push delivery and fan-out to Amazon SQS queues or AWS Lambda functions.
Amazon SNS is primarily a publisher-to-subscriber notification service, while Amazon SQS provides a queue that consumers process independently. They are often used together: SNS distributes an event and SQS gives each consumer durable buffering and controlled processing.
Amazon SNS is a strong choice for straightforward topic-based fan-out, direct notifications and delivery to queues or endpoints. Amazon EventBridge is often better when teams need richer event filtering, service integrations, event buses or routing across more complex domains.
An Amazon SNS specialist should understand Amazon SQS, AWS Lambda, IAM, KMS and CloudWatch. Practical experience with infrastructure as code, API design, webhook security and distributed-system failure handling is also valuable.
The right level depends on the delivery risk and the surrounding AWS architecture. A simple topic and subscription setup may need focused expertise, while regulated, high-volume or multi-service systems call for a professional who has handled retries, permissions, observability and migration concerns in production.
Amazon SNS projects are often suitable for remote collaboration because configuration, code reviews, testing and AWS access can be handled online. Berlin teams should agree on communication routines, access controls, documentation standards and whether any workshops or operational handovers need to happen on site.
Ask an Amazon SNS professional to explain delivery guarantees, duplicate handling, retry behaviour, subscription confirmation and dead-letter strategies. Review architecture decisions, test coverage, monitoring dashboards and IAM policies rather than judging the work only by whether messages arrive in a basic test.
A reliable Amazon SNS implementation treats delivery as a distributed process rather than assuming every message arrives once and immediately. It uses appropriate retries, idempotent consumers, least-privilege access, useful alerts and clear procedures for failed endpoints or delayed processing.
The average hourly rate of freelancers in Berlin, Germany who have used Amazon SNS in their recent projects is 98 €, which corresponds to a daily rate of about 782 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Amazon SNS in their recent projects, 100% hold at least a Bachelor's degree, 45% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Berlin, Germany who have used Amazon SNS in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Berlin, Germany who have used Amazon SNS in their recent projects are German (100%), English (93%), and Arabic (7%).
The most common industries among freelancers in Berlin, Germany who have used Amazon SNS in their recent projects are Information Technology (100%), Banking and Finance (57%), and Retail (57%).
The most common business areas among freelancers in Berlin, Germany who have used Amazon SNS in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (64%).
Main locations of FRATCH Experts, who have recently used Amazon SNS
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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Munich