
Amazon SQS Experts in Berlin
matched in minutesHire experts who design queue-based architectures, integrate Amazon SQS with AWS Lambda and Amazon SNS, and improve message handling across distributed applications. FRATCH connects you with precise matches who are vetted, available and ready to contribute quickly.
Meet FRATCH Experts in Berlin, who have recently used Amazon SQS
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
Alex K.
Last position:
Head Of Engineering at Solaris Digital Assets GmbH
Muzamal A.
Last position:
Data Scientist / AI Consultant at HelmX
- Delivered AI and data science solutions, including LLM-based chatbots and data pipelines, improving operational efficiency.
- Collaborated on product features, achieving measurable impact and maintaining strong client relationships.
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
Recep C.
Last position:
Sr. Software Engineer at Endava
- Designed and deployed scalable REST APIs for enterprise clients
- Led migration of legacy systems to modern maintainable system, reducing deployment time and enabling daily deployments
- Mentored junior developers and collaborated cross-functionally to align technical roadmaps with business goals, improving team velocity by 50%.
- Tech Stack: PHP (Symfony), Golang, PostgreSQL, MySQL, GCP, Terraform, Kubernetes
Fady K.
Last position:
Senior Software Developer / Tech Lead at Specific Objects Technologies GmbH
- Project 1: Multi-Tenant SaaS Platform: Data Integration & Pricing Management
- Objective: New development of ELT pipeline (replacement for Java 6 legacy), integration of heterogeneous source systems (CSV, Excel, Email, external DBs), event-sourcing for complete auditability, multi-tenant architecture for tenant-capable data processing
- Challenge: Processing millions of records daily, audit compliance, data isolation between different tenants
- Solution: Stakeholder workshops for requirements analysis, event-driven architecture with Axon Framework and Apache Kafka, AWS services (EC2, S3, Lambda, SQS, API Gateway) for cloud integration, PostgreSQL with tenant-specific schemas for multi-tenant data isolation, REST API design with Spring Boot for external system integrations, comprehensive testing strategy (JUnit, Spring Test, Postman, PACT, ArchUnit)
- Results: ELT performance improved from 30+ min to 1-5 min; 2-3 hours daily saved through workflow automation; 10-20 hours/week saved through event-sourcing auditability; 100% audit compliance; secure multi-tenant data isolation for 10+ tenants
- Project 2: Multi-tenant CRM System Modernization
- Objective: Migration of CRM system (20+ years PHP/MySQL) to Java microservices, Domain-Driven Design implementation, establishment of Test-Driven Development, multi-tenant-capable SaaS architecture for multiple customer tenants
- Challenge: Remodeling complex business logic, no existing test culture, scalable tenant management with data isolation
- Solution: Comprehensive testing strategy (JUnit, Spring Test, Postman, PACT, ArchUnit), multi-tenant architecture with tenant-specific databases, REST API design with Spring Boot for cross-tenant integration, Kubernetes and Docker for container orchestration
- Results: 2× performance improvement; deployment time reduced from 40+ min to 5-7 min; migration without production outages; scalable multi-tenant solution for 15+ customer tenants
- Technologies: Java, Spring Boot 3.x, Angular, Apache Kafka, AWS (EC2, S3, Lambda, SQS, API Gateway), PostgreSQL, Axon Framework, Kubernetes, Docker, GitLab CI, REST API
Daniel M.
Last position:
Founding Database Engineer at tonbo.io
Working on the next iteration of tonbo to make it the most flexible in-process analytical database in the market that scales and is operated with strong availability
Introduced object scope cache to the remote storage layer to avoid I/O churn
Working on refactoring WAL to support remote storage
Taking care of the health of the systems as well as designing the operational story and bringing them to production
Technologies: LSM, WAL, Arrow, Parquet, Rust
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
Khaled M.
Last position:
Senior/Staff Backend Engineer at Heycar (Mobility Trader GmbH)
- Heycar is a leading automotive platform redefining the used car market through intelligent data pipelines, multi-tenant services, and dealer-focused tooling. I led initiatives across backend architecture, data ingestion, and identity management to enhance scalability, reliability, and developer productivity.
- Ingestion Platform: Designed a unified ingestion platform with YAML-based configuration, enabling new dealer data pipelines to be onboarded without code changes, cutting setup time from ~2 months to 2-3 days and improving scalability by 40%.
- Keycloak Leadership: Acted as the company's Keycloak expert, scaling it for multi-tenant identity management and extending functionality with custom plugins and delegated admin APIs.
- Back-Office Tooling: Developed a back-office application integrated with Salesforce, enabling dealers to manage inventory, convert leads, and handle support requests in real time.
- Multi-Tenant Migration: Collaborated across backend teams to migrate Heycar's core services into a unified multi-tenant cluster, ensuring high availability.
- Frontend CI Optimization: Optimized monorepo delivery by implementing CircleCI dynamic config with NX, deploying only affected UI projects and drastically cutting build times.
- Observability & Mentorship: Enhanced monitoring and release reliability while mentoring backend engineers and improving code review standards.
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.
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
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
Discover over 15,000 top freelancers
Statistics of experts using Amazon SQS
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 19 years)

Position duration
1.8 years (Germany: 1.9 years)

Positions per freelancer
10 (Germany: 13)

Top business areas
Information Technology, Product Development, Quality Assurance

Top industries
Information Technology, Banking and Finance, Media and Entertainment

Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
100% (Germany: 88%)
Master's degree or higher
38% (Germany: 55%)

Certifications per freelancer
2 (Germany: 3)

Most common languages
English, German, Arabic

Speak two or more languages
89% (Germany: 95%)
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 Amazon SQS
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.
Amazon SQS 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 (47%)
- Media and Entertainment (42%)
- Retail (42%)
- Automotive (37%)
- Education (32%)
- Professional Services (26%)
- Telecommunication (26%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Core purpose
Amazon Simple Queue Service, commonly called Amazon SQS, is a fully managed message queuing service from AWS. It lets applications exchange messages without depending on each other being available at the same moment. Companies use it to separate workloads, absorb traffic spikes and process tasks reliably across distributed systems.
Queue patterns
Amazon SQS supports Standard queues for high-throughput workloads and FIFO queues when ordering and deduplication matter. Strong specialists choose between short polling and long polling, set visibility timeouts carefully and design dead-letter queues for messages that cannot be processed successfully. They also account for at-least-once delivery and idempotent consumers.
AWS ecosystem
SQS rarely works alone in a production architecture. Professionals commonly connect it with:
- AWS Lambda for event-driven message processing
- Amazon SNS for fan-out notifications and routing
- Amazon EventBridge for event-based integration
- Amazon ECS or Amazon EKS for containerized consumers
- CloudWatch, IAM and AWS CloudFormation for operations and governance
Typical workloads
Companies bring in Amazon SQS expertise for background jobs, order processing, payment workflows, document conversion and integration between services. It also fits batch pipelines and systems that must continue accepting work while downstream services are busy. In Berlin, specialists may support local product teams through remote collaboration or combine distributed work with on-site workshops.
When specialists help
Freelance expertise is useful when a team is replacing synchronous service calls, moving workloads to AWS or diagnosing message delays and duplicate processing. It is also valuable during a migration from custom brokers or when queue design must meet operational, security and compliance requirements. Clear monitoring, retry behavior and failure recovery should be part of the delivery from the start.
Quality signals
Strong professionals explain delivery semantics instead of treating a queue as a simple buffer. They can define message contracts, tune visibility and retention settings, secure access with IAM, and test retries, poison messages and consumer outages. They also measure queue depth and processing age, document operational runbooks, and leave maintainable infrastructure and application code behind.
Frequently asked questions
Not sure where to start with Amazon SQS? These answers cover the essentials.
Amazon SQS is used to pass messages between application components without requiring them to run at the same time. Common workloads include background processing, order handling, service integration, notification workflows and traffic smoothing.
Amazon SQS provides durable queues that consumers pull from, while Amazon SNS primarily pushes notifications to subscribers. They are often combined when one event must be delivered to several queues or other endpoints.
Amazon SQS Standard queues suit workloads focused on scale and throughput, while FIFO queues are appropriate when message order and deduplication are essential. The right choice depends on business rules, consumer design and tolerance for duplicate delivery.
Amazon SQS work usually benefits from AWS Lambda, Amazon SNS, IAM and CloudWatch knowledge. Experience with event-driven design, container platforms, infrastructure as code and application observability is also useful.
Amazon SQS is straightforward to enable, but production work requires judgment around retries, visibility timeouts, idempotency and dead-letter queues. A specialist should have handled failure scenarios and be able to explain the operational trade-offs for the specific workload.
Amazon SQS projects are often well suited to remote collaboration because configuration, code review and monitoring can be handled online. Teams in Berlin may still prefer on-site sessions for architecture workshops, incident reviews or close coordination with product and security groups.
Amazon SQS quality is visible in clear queue contracts, realistic failure tests and useful monitoring rather than in configuration alone. Ask how the specialist handles duplicate messages, stuck consumers, poison messages, access control and safe deployments.
Amazon SQS implementations often fail when teams assume exactly-once processing, choose unsuitable visibility timeouts or omit a dead-letter strategy. Other risks include unbounded retries, weak message validation and insufficient alerts for growing queue depth.
The average hourly rate of freelancers in Berlin, Germany who have used Amazon SQS in their recent projects is 91 €, which corresponds to a daily rate of about 724 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Amazon SQS in their recent projects, 100% hold at least a Bachelor's degree and 38% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Amazon SQS in their recent projects have 17 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 SQS in their recent projects are English (95%), German (84%), and Arabic (11%).
The most common industries among freelancers in Berlin, Germany who have used Amazon SQS in their recent projects are Information Technology (100%), Banking and Finance (47%), and Media and Entertainment (42%).
The most common business areas among freelancers in Berlin, Germany who have used Amazon SQS in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (53%).
Main locations of FRATCH Experts, who have recently used Amazon SQS
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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