AWS CloudFormation Experts in Berlin
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Meet FRATCH Experts in Berlin, who have recently used AWS CloudFormation
Vili D.
Last position:
Technical Lead, Data Engineer at Mercedes-Benz Consulting
Optimized the data architecture (Medallion) to better decouple processing steps and improve transparency and reproducibility
Ensured the technical quality of data processing in Databricks by introducing schema enforcement, data quality checks, and a structured data architecture
Pipeline orchestration with Azure Data Factory
Improved and automated the development and deployment process by integrating Git and GitHub Actions
Technical leadership of the Data Engineering team (3 employees)
Led workshops to optimize and stabilize the data platform and development process
Collected and prioritized new requests and 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
Julius H.
Last position:
Freelancer at Freelancer — Pharma Industry
- Led migration to GCP using Terraform, GKE, and GitOps, improving deployment consistency and scalability
- Implemented Datadog observability stack via Terraform and datadog-operator
- Established automated end-to-end tests and on-call processes, improving incident response and service reliability
- Migrated from NGINX Ingress Controller to Kubernetes Gateway API (NGINX Gateway Fabric)
- Migrated stateful services (PostgreSQL and Redis) to GCP, improving scalability and operational reliability
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
Gyan P.
Last position:
Senior DevOps & Cloud Architect, Head of Infrastructure at Bosch
- Azure Landing Zone architecture: Design and implement a hub-spoke, multi-region-capable Azure landing zone that provides the secure, scalable and highly available foundation for autonomous driving and parking data/ML platforms.
- Compliance through Azure Policy: Enforce security and compliance standards across Azure subscriptions via Azure Policy (guardrails, deny/audit/deploy-if-not-exists), consistently achieving top-tier infrastructure security scores.
- Infrastructure-as-Code: Automate provisioning and configuration of Azure resources with Terraform and Bicep, with changes delivered through reviewed CI/CD pipelines.
- Azure Databricks and Unity Catalog: Extensive experience operating Azure Databricks with Unity Catalog for centralized data governance, access control, lineage and auditing across workspaces.
- Monitoring and observability: Built and run infrastructure monitoring and logging with Azure Monitor, Prometheus, Grafana and Loki, covering platform health, alerting, troubleshooting and capacity trends.
- Platform at scale: Architected and operate cloud data/ML platforms supporting multi-PB vehicle data ingestion and simulation; orchestrate Argo Workflow-based recompute and autolabeling services scaling to 100k+ concurrent pods on AKS.
- Reproducible ML: Established reproducible training environments with dataset versioning and provenance tracking, enabling auditing and experiment reliability.
- Operational excellence: Automated GitHub organization management and CI/CD pipelines, improving developer productivity and deployment reliability; automated recurring operational processes.
- FinOps: Developed transparent resource utilization and cost-tracking for multi-project Azure environments.
- Leadership: Technical lead for infrastructure topics, collaborating with development, DevOps and security teams; technical interviewer and recruitment panel member for scaling the engineering team.
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
Nune I.
Last position:
Fractional CTO at OpsWorker
OpsWorker turns Kubernetes alerts into root-cause analyses, on top of the monitoring a team already runs. I lead the technical side: the agent architecture, the AWS infrastructure it runs on (fully inside EU regions), and the engineering decisions behind it, read-only in the cluster by default, human in the loop for judgment. The stack underneath: Amazon Bedrock and Bedrock AgentCore, agents built with the Strands Agents SDK, the Claude and OpenAI APIs, and the Kubernetes API.
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
Marina K.
Last position:
Independent Software Developer at LILARAUM
- Independently designed, developed, published, and maintained mobile games for iOS and Android.
- Implemented application architecture, gameplay systems, UI, monetization, analytics, and platform integrations.
- Managed the complete release lifecycle, including testing, store publication, production monitoring, and iterative improvements based on analytics.
Oleg A.
Last position:
Lead Full Stack Software Engineer at sdev
- Worked on a customer project under NDA
- Tech stack used:
- Backend: TypeScript, Node.js, NestJS, Express, PostgreSQL, OpenAI API, Docker
- Frontend: TypeScript, Vue.js 3 with Composition API, Vuetify 3, Angular, Angular Material, SCSS, TailwindCSS
Christian R.
Last position:
Freelance Data Engineer at Ingenieurbüro Christian Richter – Data, Cloud & Container
- Contributed to over 20 successful projects
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.
Discover over 15,000 top freelancers
Statistics of experts using AWS CloudFormation
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Germany: 17 years)
Position duration
2.5 years (Germany: 2.2 years)
Positions per freelancer
12 (Germany: 11)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
90% (Germany: 94%)
Master's degree or higher
40% (Germany: 56%)
Doctorate
10% (Germany: 8%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Russian
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 AWS CloudFormation
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.
AWS CloudFormation 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 (91%)
- Automotive (64%)
- Banking and Finance (64%)
- Retail (64%)
- Education (45%)
- Professional Services (36%)
- Media and Entertainment (27%)
- Real Estate (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Infrastructure as code
AWS CloudFormation is an infrastructure-as-code service for defining AWS resources in templates. Teams use YAML or JSON to create and manage networks, compute, storage, databases, permissions and application services as repeatable stacks. Changes can be reviewed, deployed and rolled back through controlled processes instead of manual console work.
Templates and stacks
Strong CloudFormation work covers parameters, mappings, conditions, outputs and resource dependencies. Experts structure templates for reuse and maintainability, then manage stack updates, change sets, drift detection and nested stacks. They also know when to use CloudFormation modules or the AWS Cloud Development Kit to generate templates from familiar programming languages.
AWS ecosystem
CloudFormation sits across the AWS ecosystem and often connects with:
- IAM roles, policies and permission boundaries
- VPCs, subnets, route tables and security groups
- Lambda, ECS, EKS, RDS, S3 and CloudFront
- CloudWatch, Systems Manager and AWS Organizations
- CodePipeline, CodeBuild and Git-based delivery workflows
When expertise matters
Companies bring in freelance CloudFormation specialists when environments have become inconsistent, deployments are risky or infrastructure needs to scale across accounts and regions. Common assignments include landing zones, multi-account setups, disaster recovery, cloud migrations and converting manually created resources into managed stacks. Berlin teams may need professionals who can work remotely or join on-site workshops with product, security and operations groups.
Quality signals
A capable professional treats templates as production software. They use version control, linting, validation, clear naming and modular design, while explaining dependencies and rollback behavior. Look for experience with least-privilege IAM, secret handling, stateful resource protection, drift investigation and safe change-set workflows rather than template writing alone.
Delivery and collaboration
CloudFormation projects succeed when requirements, ownership and deployment boundaries are explicit. Specialists should document parameters, outputs, stack policies and recovery steps, and test changes in isolated environments before release. They should also be comfortable reviewing AWS billing implications, troubleshooting failed events and coordinating with security and application teams. For Berlin-based work, agree early on remote routines, on-site sessions and the working language.
Frequently asked questions
Questions about AWS CloudFormation? Start with the answers below.
AWS CloudFormation is used to define and provision AWS infrastructure through version-controlled YAML or JSON templates. It can manage resources such as VPCs, IAM policies, databases, containers and serverless services as coordinated stacks.
AWS CloudFormation is tightly integrated with AWS resource models, permissions and account controls, which can simplify work in an AWS-only environment. Terraform uses a broader provider ecosystem and its own state workflow, so the better choice depends on cloud scope, team practices and governance needs.
A strong CloudFormation specialist often understands AWS CDK because the CDK synthesizes CloudFormation templates from TypeScript, Python or other supported languages. They should still be able to inspect generated templates, diagnose stack events and manage resources that are not covered by higher-level constructs.
For a small stack, practical experience with template design, IAM and safe updates may be enough. Larger environments need someone who has handled nested stacks, multi-account or multi-region delivery, drift, rollback protection and CI/CD controls in production.
AWS CloudFormation work is well suited to remote collaboration because templates, reviews and deployment logs are shared through version control and AWS tooling. Berlin-based teams should define access controls, meeting routines and the balance between remote work and on-site architecture or security sessions.
A useful CloudFormation professional may also bring AWS networking, IAM, Linux, containers, serverless design and pipeline automation skills. Familiarity with Git, CloudFormation Guard, cfn-lint, the AWS CLI and observability tools supports safer delivery.
Review whether AWS CloudFormation templates are modular, readable, validated and safe to update. Ask how the professional handles secrets, resource replacement, drift, failed deployments, rollback behavior and least-privilege permissions, then inspect documentation and testing practices.
AWS CloudFormation may be less convenient when a project must provision several cloud providers through one consistent workflow or when a team already depends heavily on another infrastructure-as-code system. It can still manage AWS resources alongside other tools, but ownership, state boundaries and deployment responsibilities should be clear.
The average hourly rate of freelancers in Berlin, Germany who have used AWS CloudFormation in their recent projects is 101 €, which corresponds to a daily rate of about 806 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used AWS CloudFormation in their recent projects, 90% hold at least a Bachelor's degree, 40% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Berlin, Germany who have used AWS CloudFormation in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Berlin, Germany who have used AWS CloudFormation in their recent projects are German (100%), English (100%), and Russian (27%).
The most common industries among freelancers in Berlin, Germany who have used AWS CloudFormation in their recent projects are Information Technology (91%), Automotive (64%), and Banking and Finance (64%).
The most common business areas among freelancers in Berlin, Germany who have used AWS CloudFormation in their recent projects are Information Technology (100%), Product Development (91%), and Business Intelligence (55%).
Main locations of FRATCH Experts, who have recently used AWS CloudFormation
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.
Berlin 
Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
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