Amazon DynamoDB Experts in Cologne
in minutes with vetted specialists and precise AI matching.Hire experts who design DynamoDB tables, tune access patterns, and fix throughput or latency issues in AWS-backed systems. From serverless apps to event-driven services and data models, you get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Cologne, who have recently used Amazon DynamoDB
Halil Oeztoprak
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.
Thomas Pawlitzki
Last position:
Freelance Software Architect at Self-employed
Yannick Tessa
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 Ngo
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 Filip
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 Satheesan
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 Prasad
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 Haefke
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
Allal Kharaz
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
Jacqueline Krech
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
15 years (Germany: 17 years)
Position duration
2 years (Germany: 2.1 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: 91%)
Master's degree or higher
71% (Germany: 53%)
Doctorate
14% (Germany: 9%)
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 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Cologne 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What DynamoDB is
Amazon DynamoDB is AWS’s managed NoSQL database for applications that need predictable low-latency reads and writes at scale. It stores items in tables and is built around access patterns, not joins or ad hoc queries.
It is a strong fit for product data, session data, event logs, and backend state in cloud-native systems.
Where it fits
- Serverless APIs and microservices
- User profiles, carts, and sessions
- Event-driven workflows and queues
- IoT, game, and telemetry data
- Multi-region applications with global access needs
Teams choose DynamoDB when they need simple operations, tight AWS integration, and tables that stay responsive under changing load.
Skills that matter
Strong professionals understand partition keys, sort keys, secondary indexes, and item design. They also know how to model data for the query first, instead of treating DynamoDB like a relational store.
They often work with IAM, Lambda, API Gateway, CloudWatch, Streams, and Infrastructure as Code tools such as CloudFormation or Terraform.
When to bring in help
Companies call in freelance specialists when a table design is slowing down requests, when a migration from MongoDB, PostgreSQL, or a legacy cache is involved, or when costs and access patterns no longer line up. They also help during launches, refactors, and production incidents.
In Cologne, this often fits teams that work with AWS across commerce, logistics, media, and internal platforms, whether the collaboration is remote or partly on-site.
What strong experts deliver
A good DynamoDB specialist can:
- Design tables around real query needs
- Improve hot partitions and throughput limits
- Build safe migrations and backfills
- Add Streams-based event processing
- Review security, monitoring, and resilience
The best experts leave behind clear models, simple runbooks, and systems the team can maintain without guesswork.
Common search terms
People search for Amazon DynamoDB under several names, especially DynamoDB and AWS DynamoDB. The best specialists can explain the tradeoffs against other NoSQL options and against relational databases when a project needs a clear fit.
They should also be able to discuss Global Tables, on-demand and provisioned capacity, and how to keep a schema flexible without losing control over performance.
Frequently asked questions
What clients ask us most about Amazon DynamoDB — answered in short.
Amazon DynamoDB is used for workloads that need fast, predictable key-value and document access on AWS. Common uses include user state, shopping carts, session storage, metadata, event tracking, and backend data for serverless services. It is especially useful when the access pattern is known in advance.
DynamoDB is not a direct replacement for PostgreSQL or MySQL. It is a better fit when you want simple queries, low operational overhead, and horizontal scaling without managing a database server. A relational database is still stronger when you need joins, complex reporting, or flexible ad hoc queries.
Bring in Amazon DynamoDB expertise when table design is unclear, latency is inconsistent, or a production system needs to scale cleanly. Specialists are also useful for migrations, cost control, data model reviews, and incident recovery. The earlier they join, the easier it is to avoid a design that works in tests but fails under real traffic.
A strong DynamoDB expert usually knows Lambda, API Gateway, IAM, CloudWatch, Streams, and Infrastructure as Code. Many also work with event-driven designs, CI/CD pipelines, and security reviews across AWS services. If the system is serverless, that broader AWS context matters as much as the table design itself.
Look for concrete table models, not just general AWS talk. A solid Amazon DynamoDB specialist can explain partition keys, sort keys, secondary indexes, hot partitions, and how they would map real queries to the table shape. Ask for examples of migrations, troubleshooting, and how they handled write or read pressure.
Yes. DynamoDB work is usually well suited to remote collaboration because the real work happens in data models, code reviews, and AWS configuration. For Cologne teams, on-site time is only needed when close work with product, operations, or local stakeholders adds value.
Amazon DynamoDB is managed by AWS and is built for durable application data with predictable access patterns. MongoDB is often chosen for more flexible document modeling, while Redis is stronger as a cache or in-memory store. The best choice depends on whether you need persistence, query flexibility, cache speed, or AWS-native operations.
A small proof of concept may only need a general AWS specialist, but a production DynamoDB system needs someone who has handled real data modeling and performance issues. The more important the workload, the more you want proven experience with capacity planning, indexing, and live incident handling. Simple table setup is easy; good design is not.
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 792 € 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 15 years of professional experience, with a single engagement typically lasting around 2 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.
Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!

Berlin
Hamburg
Munich
Frankfurt