
Amazon DynamoDB Experts in Cologne
, matched in minutes from over 15,000 CVsHire experts who design scalable NoSQL data models, build event-driven services with AWS Lambda and integrate DynamoDB with APIs, analytics and serverless systems. FRATCH quickly matches you with vetted, available freelancers who fit your technical needs.
Meet FRATCH Experts in Cologne, who have recently used Amazon DynamoDB
Halil O.
Last position:
Senior Cloud Operations & DevSecOps Engineer (Azure / Terraform / CI-CD) at KfW Bankengruppe
Regulated environment within a German banking group (approx. 8,500 employees, hybrid cloud strategy).
Responsible for operating, provisioning, and continuously securing business-critical platforms – including a GenAI chat application, a big data/AI platform, and data science workspaces based on Azure Virtual Desktops and VMs. Ownership of Azure DevOps projects for ShaiHulud and React2Shell, as well as BSI alerts – Security Operations improvements across the SDLC.
Deployment responsibility for the GenAI chat application, big data/AI platform (BDAI), and data science workspaces (AVD/VM-based) in the respective landing zones.
Deployment & release management: end-to-end responsibility for deploying portal and service applications across multiple Azure landing zones, including technical approvals, compliance with development team deployment guidelines, and ensuring ITIL-based change and release processes via ServiceNow.
Azure landing zones & network architecture: design, provisioning, and operation of Azure landing zones for 3-tier web applications with enhanced network segmentation, VNet peering, hub-and-spoke architectures, private endpoints, and firewall integration across separate subscriptions and tenants.
Azure DevOps governance & operations: ownership of the Azure DevOps organization, including projects, repositories, and CI/CD pipelines; implementation of governance requirements such as branch policies, approval gates, permission models, and audit-ready operating structures.
Infrastructure as Code (Terraform): design, implementation, and operation of a modular Terraform architecture for standardized cloud infrastructure deployment, including state management, provider versioning, reusability, and policy-as-code approaches.
CI/CD pipeline engineering: design, operation, and optimization of complex YAML-based CI/CD pipelines with multi-stage deployments, template standardization, self-hosted agents, integrated secret management, and automated quality and security checks.
Git migration & platform consolidation: planning and execution of repository and pipeline migration from Azure DevOps to GitLab CI/CD, including automated scripts, full Git history transfer, pipeline porting, and platform consolidation.
Container & platform operations (AKS): operation and security assessment of containerized workloads on Azure Kubernetes Service, centralization of on-premises container registries for ACR.
OpenShift (OCP) security reviews: security assessment of code baselines, build pipelines, and deployment processes for on-premises OpenShift clusters with critical applications, and derivation of specific hardening recommendations.
Shift-left security & DevSecOps transformation: introduction of a company-wide shift-left approach for early security integration in development and deployment processes, enabling developers to perform self-led security checks and sustainably reduce vulnerabilities before production (IDE integrations, pre-commit hooks, local scanners).
Software supply chain security: analysis and mitigation of supply chain risks in NPM- and Yarn-based applications through dependency audits, CI/CD pipeline hardening, token rotation, and restriction of risky build and lifecycle mechanisms.
Frontend & framework security (React / Next.js): security assessment and coordination of critical vulnerability remediation across platform applications and web frameworks, including coordination and complementary technical mitigations with all teams following BSI alerts.
Software composition analysis (SCA): introduction and operation of automated vulnerability scans for container images, pipelines/artifacts, and third-party dependencies, including SBOM exports within CI/CD pipelines.
SAST/DAST integration: design and piloting of static and dynamic application security tests in close collaboration with security architecture and development teams, for continuous improvement of code and runtime security, and establishing operational acceptance tests.
Artifact & registry consolidation: analysis and consolidation of all package and container repositories for service applications and AKS workloads, aiming for a centralized, secured registry strategy with centralized vulnerability scanning and governance.
Dependency-Track & SBOM strategy: advising the compliance board on introducing a central SBOM and vulnerability management platform to increase enterprise-wide dependency transparency and accelerate CVE response capability.
CI/CD pipeline hardening: security analysis and cleanup of the existing pipeline landscape by removing unused pipelines, improving secrets hygiene, implementing least-privilege principles, and isolating build agent environments.
Azure Web Application Firewall (WAF) optimization: analysis and tuning of existing Azure WAF rules (OWASP Top 10 Core Rule Set, DSR/SDC, custom rules) to defend against known vulnerabilities and exploit patterns, including reducing false positives and improving threat detection.
Documentation & stakeholder communication: creating and maintaining technical documentation, runbooks, and architecture overviews in Jira and Confluence, as well as active knowledge transfer between operations, development, security, and compliance stakeholders.
Allal K.
Last position:
Java Senior Full Stack Developer at Insurance ÖRAG
- Further development of a policy administration system (contract/claims) for the legal expenses insurer ÖRAG.
- My role: Senior Software Developer.
- The team consists of 12 developers.
- Technologies used: Java 8/21, Java EE, Quarkus, WebLogic, JPA, RabbitMQ, JTA, CI, CD, Jenkins, DB2, Maven, Jenkins, GIT (bitbucket) later GitLab, Junit, Elasticsearch, Mockito, Jira, SonarQube, Scrum, React, Workflow
- Migration and modernization of legacy systems: rewrote C and C++ code in Java to improve maintainability, scalability, and performance. Refactored Python into Java, including optimization and integration into modern architectures.
- Study on the use of AI (Codex) for implementing a Java feature. The goal is to compare the time spent and productivity of AI-supported development with a classic implementation by a developer. The results should show how strongly the use of AI affects development time and efficiency.
- Development of the following tariff calculators for the years 2024/2026: private, companies, doctors, farmers, owner-occupied G + H, landlords, traffic, club, top managers, sales representatives, special criminal law, savings bank, municipal, BayGT, doctors, Dehoga
Yannick T.
Last position:
Cloud Architect at Anonymous
- Implementation of Infrastructure as Code (IaC) with Terraform to ensure a scalable, repeatable, and secure Azure infrastructure
- Implementation and optimization of CI/CD pipelines with Azure DevOps
- Management of container and server environments and AKS
Banjika N.
Last position:
Freelance | AWS Authorized Instructor at Go Courses
- Delivered AWS-authorized content through AAI program
- Facilitated group and 1-on-1 mentorship sessions
- Coached non-technical learners into cloud career paths
- Created learning materials aligned with AWS Skill Builder and AWS Academy labs
André F.
Last position:
GenAI Product Owner at OW Media Solutions GmbH
- Designed and led the development of an automated short-video generation system.
- Built a scalable AWS backend using Step Functions, Lambda, S3, ECS Fargate, and DynamoDB.
- Developed video rendering with OpenCV and FFMPEG; ensured maintainable Python code.
- Supervised and mentored a Python developer and trained the client in AI workflows.
- Decreased end-to-end production time from hours to minutes.
- Created a modular, extensible architecture designed to support future AI models.
Jyothikrishna S.
Last position:
Senior Back-end Engineer at RLE Engineering and Services GmbH
- Works at Ford Motor Company as Senior Back-end Developer on contract via outsourcing
- Designed and developed REST APIs based on the analyzed requirements and technical standards
- Investigated issues and defects to determine root causes and formulate corrective action measures
- Participated in QA, stage, and production release activities
- Conducted code reviews for performance improvement
- Provided monitoring and support using GCP
- Used test driven and behaviour driven development approaches
- Took part in agile ceremonies
Pappu P.
Last position:
Senior Cloud Consultant (AWS Services and Consulting) at devoteam GmbH
- Developed automated ETL pipelines with AWS Glue and Athena to ensure consistent data quality and governance requirements
- Implemented validation, anonymization, and encryption measures for data in compliance with GDPR
- Optimized cloud costs by introducing FinOps practices and increased transparency for business units
- Monitored performance, performed root cause analyses, and ensured adherence to SLAs
- Supported data and solution architects in building scalable data models for ML and analytics scenarios
Jacqueline H.
Last position:
Kitchen Appliance Manufacturer
Setting up and enhancing an international subscription management system
Migrating and decommissioning a Hybris-SAP system and integrating Zuora
Implementing numerous interfaces to various systems (external and internal)
Setting up and improving monitoring with Grafana, Prometheus, and Databricks
Introducing logging with Loki
Implementing business requirements using jQuery, Thymeleaf, Spring Boot, Java, Go, and Python
Adjusting and extending the GitLab CI pipelines
Setting up and extending infrastructure as code with Terraform and ArgoCD on AWS
Setting up and running E2E and performance tests
Expanding the Databricks business intelligence solution to provide various KPIs
Responsibilities: Architecture, DevOps, development, unit tests, coaching employees and apprentices, E2E, smoke, and integration tests, agile methods consulting (Kanban, Scrum)
Technologies and methods: Java, Go, Kotlin, Node.js, Spring Boot, SOAP/REST, Quarkus, Thymeleaf, Vaadin, Slack, Jira, Confluence, IntelliJ, GitLab, SQS, Kafka, AWS, Kubernetes, Terraform, Maven, Gradle, GitLab CI, Databricks
Thomas P.
Last position:
Freelance Software Architect at Self-employed
Jacqueline K.
Last position:
OTTO
- Design, development, and monitoring of microservices
- Migrating functions from a monolithic system into separate microservices
- Designing and implementing new microservices (backend and frontend)
- Setting up and maintaining a CI/CD pipeline (GitHub Actions)
- Configuring cloud infrastructure with AWS CDK and Terraform
- Designing and implementing event-driven communication with AWS SNS/SQS and Apache Kafka
- Ensuring code quality through Test Driven Development (TDD), static code analysis, and Clean Code
Discover over 15,000 top freelancers
Statistics of experts using Amazon DynamoDB
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 17 years)

Position duration
2.1 years (Germany: 2.3 years)

Positions per freelancer
10 (Germany: 11)

Top business areas
Information Technology, Product Development, Operations

Top industries
Information Technology, Insurance, Education

Certification focus areas
Information Technology, Business Intelligence, Operations
Bachelor's degree or higher
86% (Germany: 92%)
Master's degree or higher
71% (Germany: 54%)
Doctorate
14% (Germany: 10%)

Certifications per freelancer
7 (Germany: 2)

Most common languages
German, English, French

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 Cologne 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 Cologne using Amazon DynamoDB
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 DynamoDB 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 (90%)
- Insurance (70%)
- Education (50%)
- Professional Services (50%)
- Banking and Finance (40%)
- Government and Administration (40%)
- Automotive (30%)
- Transportation (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Purpose and scope
Amazon DynamoDB is a fully managed NoSQL database service in Amazon Web Services. It stores key-value and document data with low-latency access, automatic scaling and built-in availability. Companies use it for user profiles, product catalogs, session data, orders, IoT records and high-traffic APIs where predictable access matters.
Data modeling
DynamoDB requires a different approach from relational databases. Specialists define partition keys, sort keys, access patterns and secondary indexes before shaping tables. They also plan item collections, sparse indexes, single-table designs and capacity settings to support real workloads without creating hot partitions or inefficient scans.
AWS ecosystem
Professionals working with DynamoDB commonly connect it to the wider AWS stack:
- AWS Lambda and Amazon API Gateway for serverless applications
- Amazon EventBridge, SNS and SQS for event-driven workflows
- DynamoDB Streams for change capture and downstream processing
- AWS CloudFormation, CDK or Terraform for repeatable infrastructure
- CloudWatch, X-Ray and IAM for monitoring, tracing and access control
Typical projects
Companies bring in freelance expertise when a new service needs a resilient data layer, when an existing database must handle changing traffic, or when a migration from SQL or another NoSQL system is underway. Typical deliverables include table and index designs, Lambda integrations, migration scripts, backup policies, performance reviews and production-ready infrastructure. In Cologne, remote collaboration often works well for AWS delivery, while on-site workshops can support architecture decisions and German-language stakeholder work.
Delivery skills
Strong specialists combine DynamoDB knowledge with distributed-systems thinking. They understand consistency choices, conditional writes, transactions, pagination, batch operations, time-to-live settings and encryption. They also test failure modes, control permissions with IAM, automate deployments and document access patterns so the database remains understandable as the product grows.
Choosing expertise
Look for professionals who can explain why DynamoDB fits the workload rather than treating it as a universal replacement for SQL. Ask for examples of partition-key decisions, migration planning, observability and cost-aware capacity design. A careful specialist validates assumptions with traffic patterns, load tests and production safeguards, then leaves behind clear runbooks and maintainable AWS resources.
Frequently asked questions
What clients ask us most about Amazon DynamoDB — answered in short.
Amazon DynamoDB is used for low-latency applications that need flexible key-value or document storage at scale. Common examples include APIs, shopping carts, user sessions, IoT data, gaming state and event-driven services.
DynamoDB is designed around known access patterns and horizontal scaling, while relational databases center on tables, joins and flexible queries. It can simplify high-volume workloads, but it is a poor fit when a project depends heavily on complex joins or ad hoc reporting.
A strong DynamoDB specialist often works with AWS Lambda, API Gateway, IAM, CloudWatch and infrastructure-as-code tools such as AWS CDK or Terraform. Experience with SQS, EventBridge, Streams and data migration is valuable for event-driven systems.
The right level depends on the scope. A simple table and API integration may need focused database expertise, while migrations, multi-region designs or performance-sensitive systems require a professional who has handled partitioning, failure recovery and production operations with DynamoDB.
Yes. Amazon DynamoDB work is well suited to remote collaboration because designs, infrastructure and tests can be reviewed through shared repositories and cloud environments. On-site sessions in Cologne can still help when teams need architecture workshops or German-language coordination.
DynamoDB is often the stronger choice when a workload fits AWS-native operations, predictable key-based access and managed scaling. MongoDB may be preferable when teams need a broader document-query model or more flexible exploration of nested data.
Quality work starts with documented access patterns and a tested partition-key strategy. It should also cover indexes, consistency, retries, observability, backups, permissions, deployment automation and protection against hot partitions; a strong DynamoDB professional explains these trade-offs clearly.
Freelancers may design new tables, migrate data, connect DynamoDB to serverless APIs or improve an existing production setup. They can also review capacity behavior, tune queries, implement Streams-based processing and create infrastructure that other specialists can operate safely.
The average hourly rate of freelancers in Cologne, Germany who have used Amazon DynamoDB in their recent projects is 99 €, which corresponds to a daily rate of about 790 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used Amazon DynamoDB in their recent projects, 86% hold at least a Bachelor's degree, 71% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Cologne, Germany who have used Amazon DynamoDB in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Cologne, Germany who have used Amazon DynamoDB in their recent projects are German (100%), English (100%), and French (20%).
The most common industries among freelancers in Cologne, Germany who have used Amazon DynamoDB in their recent projects are Information Technology (90%), Insurance (70%), and Education (50%).
The most common business areas among freelancers in Cologne, Germany who have used Amazon DynamoDB in their recent projects are Information Technology (100%), Product Development (70%), and Operations (50%).
Main locations of FRATCH Experts, who have recently used Amazon DynamoDB
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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