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TypeORM Experts in Germany

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Hire experts who design TypeScript data models, build reliable repositories and integrate TypeORM with NestJS, PostgreSQL or MySQL. Get precise access to vetted, available freelancers who match your project quickly.

Meet FRATCH Experts in Germany, who have recently used TypeORM

Verified expert

Aruldass A.

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Full-stack AI Engineer

Berlin
Aruldass A.

Last position:

Web Module Lead at Mphasis Limited

  • Led the end-to-end delivery of enterprise full-stack web applications by driving requirement analysis, solution design, frontend and backend development, database design, API integration, code reviews, team coordination, Agile execution, CI/CD deployments, production support, performance optimization, security implementation, and stakeholder collaboration to deliver scalable, high-quality software solutions.
Verified expert

Max D.

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Senior Fullstack Engineer

Hamburg
Max D.

Last position:

Senior Fullstack Engineer at Spiri.Bo GmbH

  • Assumed responsibility for backend architecture and technical strategy, planning and leading the platform's evolution in close collaboration with the CTO
  • Simultaneously drove the development of new features for the housing and tenant management platform, balancing high-level architectural design with hands-on implementation
  • Utilized AI-assisted workflows (with tools such as Claude Code, Codex, Cursor) and worked on AI-based features (with tools such as N8N, Mastra, ElevenLabs)

Technologies: Node.js, TypeScript, React.js, Next.js, PostgreSQL, Google Cloud, Docker, Kubernetes

Verified expert

Alexandru G.

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Head of Cloud Infrastructure

Munich
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.
Verified expert

Nico B.

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Freelance IT Consultant · Software Engineer

Heßheim
Nico B.

Last position:

Freelance Software Engineer & Technical Consultant at Brain Appeal GmbH

Project: Frontend relaunch Campus Events

  • Technical responsibility for the design and step-by-step implementation of the frontend relaunch of an existing event management platform, in close coordination with product and business teams.
  • As-is analysis and stakeholder interviews as the basis for the target picture and the evaluation of possible solution approaches.
  • Building a modular, extensible frontend architecture with a clear separation between theming and template structure - the basis for independent further development of individual areas.
  • Implementation in parallel with the existing frontend for a low-risk, gradual transition without interrupting operations.

Technologies: PHP, Symfony 7, Bootstrap 5, CSS, JavaScript

Verified expert

Oleg A.

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Staff Software Engineer

Berlin
Oleg A.

Last position:

Staff Software Engineer at Kpler Germany GmbH

  • Delivered a new notifications platform implementation built from scratch to replace existing and upcoming services
  • Collaborating with other teams to integrate more domains

Tech stack:

  • Data: Scala 3, Apache Kafka, Python, Airflow, Astronomer
  • BE-FE: TypeScript, NestJS, Java, Spring Boot, Vue
  • Dev-ops: AWS, PostgreSQL, Docker, GitHub Actions, Kubernetes, Helm, ArgoCD
Verified expert

Julian H.

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Working Student / Master's Thesis Student Software Development

Leipzig
Julian H.

Last position:

Working Student / Master's Thesis Student Software Development at Scale GmbH

  • Tech-Stack: Python, Qt, tensorflow.js, plotly, Angular, TypeScript, HTML, CSS, Git
Verified expert

Paul K.

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Lead Flutter Developer

Hamburg
Paul K.

Last position:

Senior Flutter Developer at Elea.health

  • Further development of a complex laboratory information system
  • Development of new features including design
  • Close collaboration with company leadership
  • Embedded in a top team with consistently high performance under time pressure
  • Agile approach, Kanban
Verified expert

Florian F.

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Fullstack Developer - freelance

Berlin
Florian F.

Last position:

Fullstack Developer - freelance at cenfood GmbH

  • Implementation of new features in backend and frontend in collaboration with the product team.
  • Stack: Typescript, Vue 3, Node/Koa, TypeORM, GraphQL/Apollo, PostgreSQL, Github Actions, Weclapp
Verified expert

Bela B.

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Full Stack Lead Developer, Backend Architect

München
Bela B.

Last position:

Full Stack Lead Developer, Backend Architect at Telefonica (O2)

  • The software supports the complete planning and approval of antennas for mobile telephony.

  • The system was implemented using an event-driven microservice architecture for cloud-native deployment with Quarkus on the backend, Kafka for communication, and Angular for the frontend. Services run on Kubernetes in Google Cloud. A special challenge was synchronizing with the legacy system still used by some users.

Verified expert

Mojtaba G.

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Full-Stack Software Developer

Frankfurt
Mojtaba G.

Last position:

Full-Stack Software Developer at Energy Sector

  • Led and coordinated consumption and price calculations for gas and electricity forecasts to ensure accurate and reliable pricing
  • Implemented modern microservices and Web APIs based on .NET 7 in an Azure environment using Azure App Service, Azure Storage, and Azure Service Bus
  • Built and managed infrastructure in Azure using Terraform, including resource deployment and automation of deployment processes
  • Developed and maintained Azure DevOps pipelines to optimize build, test, and release workflows
  • Optimized data management with SQL Server and ensured seamless integration across all services
  • Developed the front end with Angular 16, TypeScript, CSS, HTML, and Kendo UI to deliver an intuitive and engaging user interface

Discover over 15,000 top freelancers

Statistics of experts using TypeORM

Aggregated from the professional profiles of matched freelancers.

Experience

18 years

TypeORM experts in Germany have 18 years of professional experience on average.

Position duration

2 years

TypeORM experts in Germany stay in a single position for 2 years on average.

Positions per freelancer

10

TypeORM experts in Germany have completed 10 positions on average over the course of their careers.

Top business areas

Information Technology, Product Development, Project Management

TypeORM experts in Germany have gathered most of their hands-on project experience in Information Technology, Product Development, and Project Management.

Top industries

Information Technology, Retail, Banking and Finance

TypeORM experts in Germany are most in demand in Information Technology, Retail, and Banking and Finance.

Certification focus areas

Information Technology, Project Management, Product Development

TypeORM experts in Germany earn their certifications most often in Information Technology, Project Management, and Product Development.

Bachelor's degree or higher

100%

100% of TypeORM experts in Germany hold at least a Bachelor's degree.

Master's degree or higher

20%

20% of TypeORM experts in Germany hold at least a Master's degree.

Doctorate

10%

10% of TypeORM experts in Germany have a doctorate (PhD).

Certifications per freelancer

1

TypeORM experts in Germany hold 1 professional certification on average.

Most common languages

German, English, Russian

TypeORM experts in Germany most often speak German, English, and Russian.

Speak two or more languages

100%

100% of TypeORM experts in Germany speak two or more languages.

Based on our profile pool as of 19 Sep 2026.

Daily rate distribution

0 2 4 6 8
One of the TypeORM experts in Germany charges less than €320 per day.
6 of the TypeORM experts in Germany charge between €640 and €800 per day.
3 of the TypeORM experts in Germany charge between €800 and €960 per day.
One of the TypeORM experts in Germany charges €960 or more per day.
<€320 €640-​800 €800-​960 €960+

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 TypeORM

Rates are based on recent contracts and do not include FRATCH margin.

800
600
400
200
Rate comparison chart
Daily rate avg. 742 €

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

800
600
400
200
Rate comparison chart
Median rate 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

TypeORM 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 (64%)
  • Banking and Finance (55%)
  • Automotive (36%)
  • Healthcare (36%)
  • Transportation (36%)
  • Media and Entertainment (27%)
  • Professional Services (27%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

TypeScript data access

TypeORM is an object-relational mapper for TypeScript and JavaScript applications. It connects application objects with relational databases through entities, repositories, relations and migrations. Teams use it to structure persistence logic without scattering SQL across a codebase.

What it builds

TypeORM supports APIs, backend services, business applications and modular platforms that need dependable database access. Experts use it to create schemas, manage transactions and expose data through REST or GraphQL services.

  • Model entities and relationships
  • Build repositories and query services
  • Create migrations for controlled schema changes
  • Tune queries and transaction handling

Ecosystem and tooling

TypeORM works with PostgreSQL, MySQL, MariaDB, SQLite, Microsoft SQL Server and other supported relational systems. Strong specialists also work with NestJS, Express, Node.js, TypeScript, class-transformer, validation libraries and migration workflows. They understand when the QueryBuilder or carefully written SQL is safer than a simple repository call.

When companies need help

Companies often bring in freelance TypeORM expertise when a new service needs a sound persistence layer, an existing schema must be mapped, or database behavior has become difficult to maintain. External support is also useful during a migration from another ORM, a NestJS expansion or a performance review.

  • Legacy database integration
  • Entity and migration redesign
  • Production query troubleshooting
  • Test data and repository strategy

What strong experts deliver

A capable professional separates domain logic from persistence concerns and treats migrations as deployable software. They choose relations deliberately, understand eager and lazy loading, and protect transactions from partial updates. They also test generated queries, handle concurrency and document database assumptions clearly.

Collaboration in Germany

TypeORM work can be delivered remotely or alongside an in-house team in Germany. Clear written communication matters when specialists review schemas, coordinate migrations and align with product or infrastructure teams. German or English collaboration can be agreed according to the project and stakeholders.

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Frequently asked questions

Everything clients usually want to know about TypeORM, in one place.

TypeORM is used to connect TypeScript or JavaScript applications with relational databases through entities, repositories, relations and migrations. It is common in Node.js backends, NestJS services, APIs and business systems that need structured data access.

TypeORM uses entity classes and a repository-oriented approach, while Prisma centers on a generated client and schema file. Sequelize is a mature JavaScript ORM with a different model and association style. The right choice depends on the existing codebase, database workflow, team preferences and need for generated types.

A strong TypeORM specialist should also understand TypeScript, Node.js, SQL and at least one production database such as PostgreSQL or MySQL. NestJS, REST or GraphQL design, automated testing, Docker and deployment workflows are useful when the work covers a complete backend service.

The required depth depends on the project. A small CRUD service may need solid TypeScript and repository skills, while a legacy schema, high-traffic API or migration plan calls for a professional who understands query plans, transactions, locking, indexing and safe deployment practices.

TypeORM work is well suited to remote collaboration because schemas, migrations, tests and pull requests can be reviewed asynchronously. Teams in Germany should define working hours, documentation standards, access controls and whether communication takes place in German, English or both.

Ask the specialist to explain a migration strategy, relation design and transaction boundaries for a realistic scenario. Review how they test repositories, inspect generated SQL, handle failures and separate database concerns from business logic. A clear technical review is more useful than a list of tools alone.

TypeORM can map entities to an existing relational database, but legacy schemas may require explicit table names, column mappings, custom relation handling and careful migration boundaries. A specialist should inspect constraints, indexes and data quality before changing the model.

A capable TypeORM freelancer uses repositories for straightforward operations and QueryBuilder for more involved filtering, joins or aggregation. Raw SQL can be appropriate when a database-specific feature or a performance-critical query cannot be expressed clearly, provided it remains tested and documented.

The average hourly rate of freelancers in Germany who have used TypeORM in their recent projects is 93 €, which corresponds to a daily rate of about 742 € based on an 8-hour working day.

Of the freelancers in Germany who have used TypeORM in their recent projects, 100% hold at least a Bachelor's degree, 20% hold at least a Master's degree, and 10% hold a doctorate.

On average, freelancers in Germany who have used TypeORM in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2 years.

The most common languages among freelancers in Germany who have used TypeORM in their recent projects are German (100%), English (91%), and Russian (18%).

The most common industries among freelancers in Germany who have used TypeORM in their recent projects are Information Technology (100%), Retail (64%), and Banking and Finance (55%).

The most common business areas among freelancers in Germany who have used TypeORM in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (55%).

Main locations of FRATCH Experts, who have recently used TypeORM

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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