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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

Verified expert

Thomas Pawlitzki

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Freelance Software Architect

Köln
Thomas Pawlitzki

Last position:

Freelance Software Architect at Self-employed

Verified expert

Yannick Tessa

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Cloud Architect

Bergisch Gladbach
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
Verified expert

Banjika Ngo

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Freelance | AWS Authorized Instructor

Köln
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
Verified expert

André Filip

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GenAI Product Owner

Cologne
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.
Verified expert

Jyothikrishna Satheesan

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Senior Back-end Engineer

Hürth
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
Verified expert

Pappu Prasad

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Senior Cloud Consultant (AWS Services and Consulting)

Köln
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
Verified expert

Jacqueline Haefke

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Düsseldorf
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

Verified expert

Allal Kharaz

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Java Senior Full Stack Developer

Frechen
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

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

0 1 2 3 4
<€320 €480-​640 €640-​800 €800-​960 €960-​1120 €1120+

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.

1000
750
500
250
Rate comparison chart
Daily rate avg. 792 €
Germany avg. 748 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 800 €
Germany median 720 €

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.

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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.

Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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