Yarn Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Yarn
Alexandru G.
Last position:
Principal Cloud DevOps Architect at BP
In my role as Senior Cloud DevOps Architect for BP, an oil and gas company, I had the mission to migrate the Electric Vehicle Charging platform of the EV Division from on-premises and Azure to AWS cloud, resulting in a hybrid multi-cloud, multi-tenant SaaS solution.
Deployment with Kubernetes for the application layer meant provisioning Kubernetes clusters managed by EKS and AKS, with a focus on integrating them into a multi-tenant environment. This integration was achieved by using Kubernetes namespaces and access controls to ensure data isolation and privacy enforcement.
In the database layer, we chose an RDS instance with PostgreSQL to support the backend infrastructure of our applications. Tenants shared the same RDS instance, but each had a dedicated schema.
To ingest near real-time data from physical charge points (CPOs), as IoT devices, via the OCPI protocol, we ran into significant delays with batch processing. As a result, we built a real-time streaming data pipeline using Apache Kafka, while prioritizing an event-driven architecture.
Led collaboration across multiple internal teams, external vendors, cloud providers, and on-site partners to integrate over five systems into a unified solution.
Achievements:
- Successfully designed and implemented hybrid multi-cloud solutions, integrating multiple cloud platforms (AWS, Azure) with on-premises infrastructure, using Site-to-Site VPNs, Firewalls, and Load Balancing.
- Led the migration of on-premises infrastructure to multi-cloud, multi-tenant infrastructure, resulting in 30% faster processing times.
- Migrated workloads from VMware and Hyper-V environments to cloud-based VMs, leveraging cloud-native services to optimize performance, cost efficiency, and scalability.
- Designed a multi-tenant Kubernetes platform leveraging the Kubernetes ecosystem, using Karpenter for dynamic EC2 node provisioning, KEDA for event-driven pod autoscaling (e.g., Kafka message lag), and Rancher for centralized monitoring of multiple clusters (EKS, AKS, or on-prem K8s), replacing Microsoft-centric Azure Arc management service.
- Designed and implemented Python-based FastAPI microservices as part of the EV core-backend on AWS EKS application layer, powering data ingestion and customer analytics pipelines.
- Developed asynchronous, event-driven APIs (Python-FastAPI) for real-time integration with CPOs, supporting OCPI 2.3 and OICP protocols.
- Designed and implemented a secure, production-grade Azure Databricks platform using Terraform, ensuring scalability and cost efficiency.
- Migrated on-premises ERP to a hybrid Dynamics 365 architecture with ERP hosted locally and CRM running in Azure, integrated via Azure Arc.
- Automated CI/CD pipelines for Databricks notebooks and jobs using GitHub Actions & Databricks CLI, reducing deployment time. Reduced infrastructure provisioning time by 70% by automating cloud resource deployment with GitOps.
- Ensured compliance with internal audit and data governance standards (GDPR) through OAuth2/OIDC-based authentication and fine-grained role-based access controls.
- Developed a Zero Trust security model, enforcing least-privilege access and microsegmentation, enhancing security posture and compliance with GDPR and NIST.
- Built interactive analytics dashboards in Amazon QuickSight, integrating data from S3 and Redshift to deliver real-time business insights and visualizations with embedded access for multi-tenant users.
- Led cloud security assessments and full-lifecycle cybersecurity integration during M&A, covering AWS, Azure, IAM (Entra ID), and data protection, while aligning security posture with NIST, ISO 27001, and GDPR across hybrid and cloud-native environments.
- Reduced cloud costs by 64% for a client's dev environment by implementing automated start/stop schedules for EC2 and RDS instances via AWS CDK with EventBridge Scheduler or AWS Systems Manager.
Tech stack:
- Infrastructure as Code: Terraform, AWS CDK, Ansible.
- Containers: Kubernetes on EKS, AKS, Docker.
- Streaming Data Processing: Kafka to Confluent Cloud, after AWS MSK.
- Frontend: TypeScript, React, NextJS, Hooks, Styled Components.
- Backend: Python with FastAPI, also Node.js with NestJS.
- Database: Aurora on PostgreSQL with TypeORM, RDS on SQL Server, Azure Databricks full setup and administration, ETL Pipelines.
- CI/CD and GitOps: GitHub Actions, Azure DevOps, ArgoCD.
- Monitoring and Observability: Prometheus and Grafana.
- Virtualization: Hyper-V, VMware Cloud on AWS, Azure Migrate.
- ERP Systems: Odoo, Microsoft Dynamics 365 Business Central on Azure, integrated with Azure Arc.
- Networking: Site-to-Site VPNs, AWS Direct Connect, Azure ExpressRoute, Firewalls (AWS Network Firewall, Azure Firewall).
- Security: IAM, NIST Framework, Zero Trust Security, AWS WAF, AWS Shield, GuardDuty.
Serge K.
Last position:
Data Scientist & MLOps (Machine Learning Operations) at REWE Digital GmbH
- It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
- GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
- Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
- CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
- Development of feature store and data synchronization between environments
- Data science: evaluation of different forecasting models, including CatBoost, Contextual Gamma and Random Forest; implementation of training pipelines using Kubeflow on Vertex AI; scaling and development of an event-driven interface using Kafka as a forecasting service; evaluation of MLFlow for model tracking and model registry
- Implementation of REST API using KeyCloak OAuth2 and OpenID (JWT)
- Monitoring: implementation of dashboards with Grafana, Prometheus, Mimir, Streamlit and Loki to monitor prediction metrics, GCP and Snowflake costs for pipelines, and system metrics
- Development of Copilot Agent Skills
Umut T.
Last position:
App Engineer at Tonies SE
Worked as an App Engineer as part of the IoT Control team in a React Native Stack.
- Implementing new Components based on the Tonies Design System.
- Improving, extending and maintaining Tonies Design System
- Adding new features like Volume and Playback Control of the Tonies
- Fixed connection issues via bluetooth and wifi
- Removing technical debt and polishing for an upcoming big software and hardware release
- Improving accessibility by optimizing screens and components for usage via screen readers.
- Wrote lots of automated tests to ensure app quality is always stellar.
- Weekly app releases in a high volume workload environment
Results & Impact:
- Improved app stability and connection reliability ahead of a major software and hardware release
- Raised overall app quality through a significantly broader automated test suite, catching regressions before they reached users
- Made the app usable with screen readers, improving accessibility for a wider audience
- Sustained a weekly release rhythm in a high-volume production environment without quality regressions
Technologies: react-native, expo, typescript, react-19, react-compiler, react-navigation, zustand, @tanstack/react-query, i18next, figma, app-store, play-store, sentry, bitrise, config-cat, poeditor
Roxana G.
Last position:
Freelance Senior Frontend Developer at RHI Magnesita
- Designed and developed a high-performance internal resource management platform using React and TypeScript, optimizing dynamic data rendering and state management.
- Built a React Native application to support mobile access to internal tools, enabling on-the-go project tracking for field teams.
- Developed custom 2D canvas-based visualizations using Pixi.js to simulate material flows and refractory layer behaviors.
- Integrated Pixi.js with React components for interactive diagrams and real-time UI updates.
- Developed interactive 3D visualizations using React.js for displaying refractory product layouts and simulations, supporting engineering and sales teams with dynamic product previews.
- Integrated Three.js within the React ecosystem to allow manipulation of 3D models in real-time via browser, enhancing user engagement and field configurability.
- Integrated a headless CMS to enable dynamic content updates by non-technical users, reducing content deployment time by 40%.
- Led AWS CloudFront optimization initiatives, improving portal load speeds by 30% globally.
- Actively collaborated with cross-functional Agile teams and product owners to deliver prioritized features with a fast feedback loop.
- Key Technologies: React.js, React Native, Three.js, TypeScript, Contentful CMS, AWS S3/Lambda/CloudFront, Cypress, Agile Scrum
Anton K.
Last position:
Head of Overall Technical Integration NSC / Hadoop Cloud Development at IABG
Head of overall technical integration NSC (National Secure Cloud, project with approx. 60 employees).
Technical integration of all subprojects into one product, definition of interfaces and basic components of a cloud including hardware, technical architecture of the IABG platform.
Development of a Cloud Management Platform (CMP) capable of creating private/mixed clouds of any complexity based on a textual description with one click or interactively.
CMP also includes the complete hardware management lifecycle.
Kubernetes, OpenStack and Hadoop are used as the foundation.
The management layer includes Harbor, Gitea, Longhorn, Keycloak, Rancher and Jenkins, which are configured automatically.
Private cloud can run any customer workloads, including a full Hadoop layer with HDFS, Spark, MapReduce, Mesos, HBase and around 20 additional ML/DL technologies.
Hadoop worker clusters can also be installed automatically without Kubernetes on bare metal or commodity hardware.
OpenStack with Nova, Neutron, Ironic, Swift, Cinder, Ceph.
Development of a Java application Rudi: SOAP, REST, containers, DB.
Technologies: Kubernetes (K3s, Rke2, Minikube, Harbor, Gitea, Jenkins, Longhorn, Keycloak, Rancher), OpenStack (Nova, Neutron, Keystone, Swift, Ceph, Cinder, Sahara, Magnum, Kayobe, Kolla, Bigrost, Ironic), Hadoop (HDFS, Ambari, Solr, Livy, Ranger, YARN, Tez, HBase, Kafka, Hive, Zookeeper, MapReduce, Spark, Oozie, Flink), virtualization (Kubernetes (K3S), VMware, Oracle), scripting (Ansible, Puppet, Juju, Shell, Groovy, Gradle, Maven).
Stephan S.
Last position:
Senior Data/ML Consultant & Technical Lead at Jolin.io
Role: Software Engineer & Applied Mathematician (Mathematical optimization for scheduling; duration: 1 months; team setting: Team of 2, remote; technologies: JuMP, Julia, Pluto, Svelte, JavaScript, TypeScript, JetBrains Space, Terraform, Nomad)
Role: Software & Cloud & Web Engineer (Building scalable data science compute cluster from scratch; duration: 11 months; team setting: Team of 1, on-site; technologies: Terraform, Kubernetes, k8s ingress, k8s services, k8s RBAC, k8s networking, k3s, etcd, S3, DNS, certificates, Julia, Pluto, JavaScript, Tailwind, Astro, npm, Parcel, Preact, MUI, JWT, AWS SQS, AWS RDS, Python, GitLab, GitHub)
Role: AI & Web Engineer (Custom ChatGPT service; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Poetry, LangChain, Tailwind, ChatGPT API, Flask, FastAPI)
Role: Architect & Data Engineer (Central datalake setup and ingestion; duration: 9 months; team setting: Team of 5, remote; technologies: Infrastructure-as-code, AWS CDK, Python, Boto3, PySpark, AWS Glue, IAM, S3, ECS, Fargate, Lambda, Apache Hudi, DeltaLake, Databricks, GitHub, Jira, Miro)
Role: Software Engineer (PoC Julia migration of scikit-decide; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Julia, GitHub)
Discover over 15,000 top freelancers
Statistics of experts using Yarn
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
2 years
Positions per freelancer
14
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Retail, Automotive
Bachelor's degree or higher
100%
Master's degree or higher
50%
Doctorate
17%
Certifications per freelancer
1
Most common languages
German, English, Spanish
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 Munich 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 Munich using Yarn
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.
Yarn 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 (100%)
- Retail (83%)
- Automotive (50%)
- Education (50%)
- Insurance (50%)
- Manufacturing (50%)
- Energy (33%)
- Banking and Finance (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Modern JavaScript Dependency Management
Yarn is a deterministic package manager for the Node.js and JavaScript ecosystem. Developed initially to solve consistency and performance issues at scale, it provides reliable package installation across local development machines and automated deployment pipelines. Modern versions support advanced dependency isolation and efficient file system structures.
Workspaces and Monorepo Architecture
- Multi-package repository management with Yarn Workspaces
- Plug'n'Play zero-install architectures eliminating node_modules
- Selective version resolutions to enforce secure dependency versions
- Custom workflow plugins tailored for continuous integration pipelines
Tooling and Ecosystem Integration
Yarn functions at the core of the Node.js development stack, integrating seamlessly with build systems like Turborepo, Nx, Webpack, and Vite. Specialists configure yarn.lock integrity checks, manage private registry authentication via Verdaccio or Artifactory, and align package lifecycles with TypeScript compilation targets.
Enterprise Requirements in Munich
Technology hubs and enterprise engineering teams across Munich depend on predictable build systems to coordinate large-scale web applications. Whether standardizing shared UI component libraries in automotive software or securing fintech pipelines, local organizations mandate reproducible builds that strictly avoid unvetted third-party runtime modifications.
Why Organizations Engage External Specialists
Teams bring in freelance expertise when migrations between package manager versions stall or when monorepos suffer from slow CI runtimes. External professionals resolve complex phantom dependency leaks, fix hoisting collisions, and design clean dependency boundaries that keep cross-functional development teams unblocked.
Hallmarks of Seasoned Professionals
Senior talent demonstrates deep mastery of modern Yarn Berry architectures, constraints engines, and custom plugin development. They optimize cache hit ratios in automated build infrastructure, maintain strict audit compliance against vulnerable packages, and balance strict dependency isolation with frictionless developer experience.
Frequently asked questions
Curious about Yarn? Here are the answers that come up again and again.
Yarn is an advanced package manager designed to install, resolve, and publish JavaScript dependencies. Teams use it to maintain reproducible software builds across distributed environments, manage multi-project monorepos via workspaces, and streamline build speeds in continuous integration systems.
Yarn Berry introduces a completely overhauled architecture centered around Plug'n'Play (PnP) rather than traditional node_modules directories. It offers faster cold installs, stricter module boundaries to eliminate phantom dependencies, and an extensible plugin system that modernizes enterprise workflows.
While npm is the default Node.js client, Yarn often leads in enterprise monorepo ergonomics through fine-grained workspace controls and constraints management. Compared to pnpm's content-addressable hard links, Yarn supports both traditional symlinking structures and virtual file systems tailored for zero-install configurations.
A proficient Yarn specialist typically brings extensive knowledge of Node.js runtimes, TypeScript configuration, and monorepo orchestration tools like Turborepo or Nx. They also possess strong backgrounds in Docker containerization, CI/CD pipeline tuning, and package registry management using tools like JFrog Artifactory.
Migrating an enterprise codebase to Yarn Berry with Plug'n'Play requires senior expertise to resolve third-party packages that make unsafe file access assumptions. Projects standardizing existing workspaces or updating lockfiles generally require mid-level proficiency with dependency graphs.
Yes, dependency management and build pipeline configuration can be executed entirely remotely. However, for organizations in Munich operating under strict compliance or hybrid schedules, having specialists within the Central European Time zone simplifies sprint alignment and code review turnarounds.
While software architecture and codebase documentation are conducted in English across tech teams in Munich, fluency in German is often an asset for coordinating with internal corporate IT and compliance departments. Most Yarn specialists operate comfortably in international, English-speaking environments.
High-quality work with Yarn is reflected in reduced CI pipeline duration, deterministic builds across development environments, and the absence of undeclared transitive dependencies. Strong professionals also establish automated constraints that prevent invalid package imports and manage lockfile hygiene systematically.
The average hourly rate of freelancers in Munich, Germany who have used Yarn in their recent projects is 108 €, which corresponds to a daily rate of about 862 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Yarn in their recent projects, 100% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Munich, Germany who have used Yarn in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Munich, Germany who have used Yarn in their recent projects are German (100%), English (100%), and Spanish (33%).
The most common industries among freelancers in Munich, Germany who have used Yarn in their recent projects are Information Technology (100%), Retail (83%), and Automotive (50%).
The most common business areas among freelancers in Munich, Germany who have used Yarn in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (67%).
Main locations of FRATCH Experts, who have recently used Yarn
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.
Countries:
Berlin Hamburg 
Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
