Amazon Aurora Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Amazon Aurora
Alexander Zhirov
Last position:
Senior Data Solutions Engineer at VMware Inc.
- Architected and deployed private cloud data platform on VMware vSphere, integrating Greenplum MPP, Apache Kafka, Kubernetes, and Apache Solr, and developed real-time ingestion pipelines with Kafka Connect and Schema Registry.
- Led Oracle Exadata to Greenplum migration, rearchitected data models, optimized storage, implemented RabbitMQ with Debezium for CDC, and deployed VectorDB for Generative AI.
- Designed and executed multi-cloud migration PoC across AWS, Azure, and GCP, defined KPIs for throughput, latency, and cost efficiency, executed bulk data transfers, validated analytics and streaming workloads, and delivered full-scale architecture recommendations.
- Assessed legacy on-premises infrastructure and designed modern cloud-native data platforms using Greenplum and containerized microservices, advising on scalability, disaster recovery, and high-availability.
Tymofii Sukhachov
Last position:
Senior Backend Developer at Medavis
- Developed backend features for Modern RIS, a web-based Radiology Information System integrated with the existing Classic RIS via WebView.
- Worked on a modular Spring Boot backend covering clinical workflows such as appointments, examinations, patients, orders, reporting, billing, and inventory.
- Contributed to event-driven architecture using domain events to decouple workflows across backend modules.
- Implemented REST/OpenAPI endpoints, service-layer business logic, DTO mapping, validation, and integration points for the React frontend.
- Worked with PostgreSQL-backed domain models, Liquibase database changes, read/write model separation, and legacy RIS database structures.
- Integrated authentication and authorization flows using Keycloak and OAuth2.
- Added and maintained unit/integration tests using JUnit, Rest Assured, Testcontainers, and project-specific test utilities.
- Supported CI/CD and local development workflows using Maven, Docker Compose, Jenkins, and generated OpenAPI clients.
Tech stack: Java 21, Spring Boot 3.5, Maven, PostgreSQL, Liquibase, Keycloak, OAuth2, REST, OpenAPI/Springdoc, MapStruct, Lombok, Docker, Testcontainers, Jenkins.
Stefan Amann
Last position:
Sole Architect and Developer at Bauernhof-Eis Stangl GbR
Design and implementation of a compact ERP, CRM, accounting, and production-planning platform for a German food manufacturer. The system replaces Rechnung11, self-built Excel sheets, and manual processes for fewer than 10 internal users.
- Designed and implemented the full platform architecture as sole architect and developer.
- Built modules for customer management, B2B order handling, invoicing, production planning, and accounting support.
- Implemented DATEV export, ZUGFeRD/XRechnung e-invoicing, FinTS bank statement synchronization, and GoBD audit trail concepts.
- Used AI-supported workflows for prototyping, test support, and implementation acceleration while retaining full architecture, review, testing strategy, and technical ownership.
Technology: Java 23, Spring Boot 3, Spring Data JPA, Spring Security, Vue 3, TypeScript, PostgreSQL, Flyway, REST, OpenAPI, JWT, TOTP, RBAC, DATEV, FinTS, ZUGFeRD, XRechnung, GoBD, JUnit, Mockito, Testcontainers, Playwright, Docker, GitLab CI/CD
Christof Hlipala
Last position:
Senior Frontend Developer at HUK24 AG
- Designing new apps as well as enhancing and running 29 Angular apps for digital claims in an Nx monorepo
- Maintaining and improving a shared component library with ~300 libraries for multiple product teams
- Migrating all apps to a new design system including its component library and systematic refactoring
- Developing and maintaining the CI/CD pipelines (Jenkins, Azure DevOps, Terraform, AWS)
- Managing releases independently including branch handling, versioning, PR coordination and production deployment
- Implementing and maintaining tracking (Adobe Analytics)
- Ensuring accessibility according to BFSG/WCAG
- Test-driven development (TDD) with Jest and Cypress
- Code reviews, mentoring and setting up best practices in the team
- Technologies: TypeScript, Angular 16-20, RxJS, NgRx, Nx (Monorepo), npm, HTML, (S)CSS, Storybook, Jest, Cypress, Cucumber, Husky, Node.js, Git, AWS, Azure DevOps (Repos & Pipelines), Jenkins, Terraform, TDD, BFSG, WCAG, Nexus, IntelliJ, Adobe Analytics
Chetan Sheshikumar
Last position:
Student Research Assistant at Hochschule Ravensburg-Weingarten (RWU)
- Built and verified Zynq-7000 (Zybo Z7-10) FPGA prototypes in Xilinx Vivado – AXI IP integration, bitstream generation, hardware bring-up, timing-closure checks and waveform-based debug to confirm expected RTL behaviour.
- Set up Cadence Virtuoso schematic/simulation flows and documented settings, results and methodology for reproducible experiments – supporting structured verification and research documentation.
- Wrote Python automation for log parsing, structured data reporting and result analysis; worked daily in version-controlled Linux/Git workflows.
Dimitri Wolinski
Last position:
Software Architect at Environmental services company (cooperation with Sitegeist Media Solutions GmbH)
Conceptual design and implementation of a modular customer portal based on Laravel.
The focus was on defining a maintainable system architecture with broad use of Domain-Driven Design principles (within the Laravel architecture), introducing automated quality assurance processes (test strategy, CI integration), and preparing an auditable operation (logging, traceability of changes) in an AWS-based infrastructure, taking IT security standards according to NIST and process requirements according to ISO 9001 into account.
Achievements:
- Analysis and structuring of business requirements in close coordination with stakeholders
- Documentation of the system architecture and infrastructure incl. change and release management
- Design and implementation of an interface for integrating SAP systems
- Planning and implementation of automated tests for quality assurance
- Implementation of security and compliance requirements, including SBOM generation, software license management, and QA processes
- Technical consulting and support for the internal IT team
- Introduction and establishment of AI-supported development processes (Spec-Driven Development), including AI-readable specifications, integration of AI instructions into the development environment, and training developers for productive use
Technologies and tools: SAP, Docker, ddev, PHP 8.4, Laravel, Filament, C4 Model, Architecture Decision Records (ADR), Mermaid, PlantUML, Spec-Driven Development, Claude, GitHub Copilot, Codex
Vitaliy Ryumshyn
Last position:
DevOps GitOps (temp) at Signal Iduna
- Responsible for Openshift/Kubernetes on-prem administration and developer support.
- Developed URP infrastructure automation with Python, Ansible, Kustomize and ArgoCD, Argo Workflow/Events stack.
- Wrote smoke and load tests for URP infrastructure utilizing Python, Kustomize and ApplicationSets.
- Helped to set up and deploy URP infrastructure in Google Cloud, GKE.
- Set up monitoring for URP and ArgoCD stack with Splunk Cloud.
- Performed system administration tasks across RedHat Linux, Kubernetes/Openshift, ArgoCD, GitLab, Bitbucket Enterprise, Kafka and MongoDB.
Christian Kappen
Last position:
Senior AWS Cloud Engineer at Sopra Financial Technology GmbH
- Setup and operation of a multi-cluster AWS EKS platform for banking workloads with a unified network and security architecture across 45 AWS accounts.
- Developed and standardized a unified AWS network and security architecture for 45 AWS accounts, enabling consistent governance, connectivity, and compliance for enterprise customer environments.
- Developed and operated a multi-cluster AWS EKS platform to support production workloads, significantly improving scalability, availability, and operational reliability.
- Implemented a GitOps deployment model using ArgoCD and Helm, enabling fully automated, auditable deployments and reducing manual release errors.
- Automated infrastructure provisioning using Terraform and Terragrunt at scale, reducing environment setup time by up to 70% and eliminating configuration drift.
- Established enterprise-grade backup and disaster recovery strategies using Velero and AWS Backup, ensuring reliable multi-cluster recovery and business continuity.
- Introduced Rancher as a self-service Kubernetes platform, accelerating developer onboarding while maintaining centralized security and governance.
- Designed and implemented detailed AWS IAM concepts (roles, policies, trust relationships) to enforce the principle of least privilege for access to accounts, workloads, and CI/CD pipelines.
- Developed AWS Lambda-based pre-provisioning workflows for databases, automating initialization, configuration, and access setup to support secure and consistent application integration.
- Delivered consistent, high-quality results as part of a 5-person AWS Solutions Architecture team, resulting in three consecutive contract renewals.
Oliver Langer
Last position:
Developer, Architect at libri GmbH
- Role: Developer, Architect
- Technologies: java, typescript, golang, spring (boot, web, security, data), Angular, AWS (OpenSearch, Aurora, SNS/SQS, CloudWatch, EC2, IAM), Kubernetes, Terraform, Helm, OAuth, Keycloak, CI/CD, gradlew, Liquibase, Test Driven Development, shell scripting
Alexandru Gunescu
Last position:
Head of Cloud Infrastructure at BP
- Migrated the Electric Vehicle Charging SaaS App of the EV Division from on-premises and Azure to AWS Cloud, resulting in a hybrid multi-cloud multi-tenant solution
- Developed a streaming data pipeline using AWS MSK for Apache Kafka and implemented an event-driven architecture to ingest and process near real-time data from OCPI-protocol IoT devices
- Implemented multi-tenant strategies including database schema isolation, bridge model for resource sharing, and tenant-based RBAC controls
- Provisioned Kubernetes clusters on AWS EKS with namespaces and RBAC for tenant isolation
- Led migration from on-premises and Azure to AWS using AWS DataSync, Snowball, and Database Migration Service
- Orchestrated collaboration across 5+ systems, vendors, service providers, and on-site teams
- Supported development and maintenance of IT strategy aligned with business requirements
- Managed €40 million infrastructure budget with AWS & Azure cost optimization, achieving 15% savings
- Led 50+ developers to implement advanced database procedures, increasing productivity by 20%
- Spearheaded multi-cloud, multi-tenant infrastructure migration for 30% faster processing times
- Negotiated vendor pricing to reduce payroll/benefits administration costs by 20%
- Developed a two-year infrastructure technology roadmap yielding 25% cost savings
- Tech stack: Kubernetes on AWS EKS, Docker, Kafka/AWS MSK, Terraform, AWS CDK, TypeScript, React, NextJS, Node.js, NestJS, Python, Aurora Serverless, RDS (MySQL, SQL Server), GitHub Actions, Azure DevOps, ArgoCD, AWS Lambda, API Gateway, AWS Security Hub, AWS Database Migration Service, AWS DataSync, AWS Organizations, AWS Control Tower, Odoo, Microsoft Navision, MS Dynamics
Benito Exner
Last position:
Cloud DevOps Engineer at E.ON Se (Syna GmbH)
Developed and implemented an operating concept
Created and executed a migration plan
Automated administrative tasks in on-premises environments
Provided 3rd-level support
Created documentation (Confluence) and managed tasks (Jira) using agile Scrum methods
Implemented and monitored disaster recovery plans and backup strategy in Azure
Planned and carried out software and system upgrades
Advised on selecting and implementing new technologies and tools
Trained employees on new technologies and processes
Conducted code reviews to ensure quality and adherence to best practices
Advised the Product Owner and other stakeholders on developing and refining solution approaches and concepts
Responsible for the stable operation of a hybrid on-premises/Azure environment in a highly regulated setting (critical infrastructure)
Worked closely with business units, IT security, and external service providers to align operational and migration concepts
Designed and executed the migration of central on-premises systems to a hybrid Azure environment (including landing zone, network segmentation, backup, and disaster recovery strategy), establishing the technical foundation for future cloud governance in the KRITIS sector
Introduced Ansible & AWX to fully automate formerly manual operational documentation
Result: Replaced over 100 operation manuals, reduced operational effort by 80%, and created a sustainable foundation for scalable operational processes
Florian Fittkau
Last position:
Solution Architect with Developer Focus at SymFinIT Solutions GmbH
- Further development of a finance layer for subscription and one-time purchase billing and accounting.
- Technologies: Kotlin, AWS (SQS, S3, ElastiCache, Aurora), React, TypeScript, Coroutines, IntelliJ IDEA, Spring (Boot, Data, WebFlux), JUnit, Testcontainers, Cucumber, Liquibase, PostgreSQL, Webservices (REST), R2DBC, OpenAPI 3, Gradle, GIT, Docker, Netty, GitHub Actions, Jira/Confluence, arc42
Mark Plaatsman
Last position:
Full-Stack Software Developer, Product Data Import at Otto (GmbH & Co KG)
- Manage and operate the product data import services for the Otto merchant
- Enhance and maintain the backend systems
- Optimize and maintain AWS infrastructure
- Build a new product data import API
- Design and plan stories and features
- Conduct code reviews to ensure code quality and best practices
- Analyze and fix bugs
- Technologies: Java, Spring Boot, Kafka, AWS, Fargate, Terraform, MongoDB, Mongo Atlas, OpenAPI, GitHub, GitHub Actions, GitHub Copilot, Akhq, Debezium, JUnit, Test Containers, Hexagonal Architecture
Christian Hartmann
Last position:
Software Developer / Lead Developer at dpa (Deutsche Presse Agentur GmbH)
- Contributed to the development of the Rubix editorial system
- Implemented various microservices based on Java, AWS S3, AWS SQS, AWS SNS, and Spring Boot, deployed to AWS ECS and AWS Fargate
- Designed and developed AWS Lambdas using TypeScript
- Used PostgreSQL in an AWS RDS Aurora cluster and AWS DynamoDB
- Implemented continuous deployment with GitLab pipelines
- Built an Infrastructure as Code environment with AWS CDK
- Set up and maintained a monitoring platform using AWS CloudWatch
- Developed various frontend components with Vue.js
- Designed the microservice architecture applying Domain Driven Design and GraphQL interfaces
Jiri Sostok
Last position:
Quality Manager/Test Management at Noriba GmbH
- Creation of test concepts
- Development of test processes
- Coordination of test case development: stress tests, functional tests, performance tests, high data rate tests, integration tests, etc.
- Hardware testing: FPGA, RF
- Test automation and regression testing
- Ensuring 24/7 operation of the test system
- Analysis & reporting
- Regular coordination of the test team, meetings with other stakeholders
- Communication and coordination with stakeholders and project managers
Discover over 15,000 top freelancers
Statistics of experts using Amazon Aurora
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
2.4 years
Positions per freelancer
14
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Retail
Certification focus areas
Information Technology, Project Management, Quality Assurance
Bachelor's degree or higher
91%
Master's degree or higher
43%
Doctorate
4%
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
93%
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 Germany 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 Germany using Amazon Aurora
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
Aurora basics
Amazon Aurora is AWS’s managed relational database service for teams that need MySQL or PostgreSQL compatibility with less operational work. It is used for application backends, reporting workloads, and systems that need high availability across AWS regions and availability zones.
Common projects
- Aurora MySQL or Aurora PostgreSQL setup
- Migration from self-managed MySQL or PostgreSQL
- Failover, replica, and backup design
- Performance tuning for slow queries and connection load
- Review of schema, storage, and parameter settings
Tools and skills
Strong specialists know AWS networking, IAM, parameter groups, and monitoring in CloudWatch. They also work with query plans, connection pooling, read replicas, and storage behavior so the database fits the application, not the other way around.
When to bring in help
Companies usually hire freelance experts when a migration is risky, an Aurora cluster is underperforming, or a release needs safe database changes. In Germany, this is common for product teams, SaaS providers, and enterprise systems that need remote support with clear handover to local staff.
What good work looks like
A strong professional documents the setup, tests failover, and explains trade-offs between Aurora and alternatives like RDS or self-managed PostgreSQL. Good work leaves behind safe defaults, monitoring that makes sense, and a recovery path the team can actually use.
Why it fits AWS teams
Aurora is often chosen when teams already run on AWS and want managed scaling, automation, and close integration with surrounding services. Experts should understand deployment patterns, security boundaries, and how Aurora behaves under read-heavy or write-heavy load so the system stays stable.
Frequently asked questions
Need clarity? These are the questions we hear most often about Amazon Aurora.
Amazon Aurora is used for transactional applications that need a managed relational database on AWS. Teams choose it for web backends, SaaS products, internal business systems, and workloads that need replicas, backups, and controlled failover without running everything by hand.
Aurora is often compared with Amazon RDS and self-managed PostgreSQL or MySQL because it keeps compatibility while adding AWS-managed clustering features. It usually makes sense when the team wants less database administration and tighter AWS integration, while self-managed databases give more direct control.
The right choice depends on your stack. A strong Amazon Aurora freelancer should know the flavor you run today and understand the differences between Aurora MySQL and Aurora PostgreSQL, especially around extensions, query behavior, and migration steps.
Amazon Aurora work rarely happens in isolation. Useful adjacent skills include AWS networking, IAM, Terraform or CloudFormation, backup design, monitoring, and application-level performance tuning so the database fits the rest of the system.
For a small proof of concept, one strong specialist may be enough. For production cutovers, scaling work, or migration from an older database, you want someone who has handled failover testing, rollback planning, and data consistency checks on Aurora before.
Most Amazon Aurora work can be done remotely because the tasks live in AWS and in the application code or infrastructure templates. On-site time in Germany is mainly useful for workshops, stakeholder alignment, or sensitive migration windows with strict coordination.
Look for clear explanations, not just tool names. A good Aurora specialist can describe the schema choices, indexing decisions, monitoring signals, and failover plan in plain language, and should be able to show how they reduced risk during a change.
You likely need Amazon Aurora help if queries are slowing down, replica behavior is unclear, migrations are stuck, or backup and restore steps have not been tested. Another sign is when the team is using Aurora as if it were a simple database instead of a managed cluster with its own operating model.
The average hourly rate of freelancers in Germany who have used Amazon Aurora in their recent projects is 103 €, which corresponds to a daily rate of about 821 € based on an 8-hour working day.
Of the freelancers in Germany who have used Amazon Aurora in their recent projects, 91% hold at least a Bachelor's degree, 43% hold at least a Master's degree, and 4% hold a doctorate.
On average, freelancers in Germany who have used Amazon Aurora in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Germany who have used Amazon Aurora in their recent projects are German (100%), English (93%), and Spanish (20%).
The most common industries among freelancers in Germany who have used Amazon Aurora in their recent projects are Information Technology (90%), Banking and Finance (53%), and Retail (50%).
The most common business areas among freelancers in Germany who have used Amazon Aurora in their recent projects are Information Technology (90%), Product Development (87%), and Project Management (57%).
Main locations of FRATCH Experts, who have recently used Amazon Aurora
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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