Object-Relational Mapping Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Object-Relational Mapping
Ljubomir Obrenovic
Last position:
Senior Software Test Engineer at Keil KTM GmbH
Temporary employment
- System black-box integration tests (BBIT, IVVQ): Execution of regression, release, acceptance, and compliance tests for safety-critical brake control units in the rail industry
- Software test application & integration: Runtime configuration of software components and libraries, validation of interfaces, configuration dependencies, and component interactions
- Test automation (FEAT framework): Co-development and further development of an automated test framework for test execution, reporting, and result analysis
- Functional safety (SiL4, FuSi): Ensuring compliance with safety requirements, traceability and coverage, as well as standards compliance according to EN50126/28/29
- Test automation for communication components: Configuration and validation of fieldbus (CAN) and Ethernet-based TCMS data communication interfaces (TRDP and CIP)
- Requirements analysis & shift-left (PTC Windchill ALM): Analysis of software and system artifacts to identify gaps, ambiguities, and redundancies early in the SDLC
- Test design & test case development: Derivation of test conditions, coverage strategies, and implementation of data-driven test cases (DDT), including reusable test data fixtures
- CI/CD & automation (Python, PowerShell, Jenkins, SVN): Automation of build, test, and HIL deployment processes as well as integration into CI/CD pipelines
- Test data & configuration management (XML): Maintenance and adaptation of XML test vectors and system configurations with automated integration into test environments
- Non-functional testing: Execution of performance and load tests to assess stability and system behavior
- Agile development & defect management (JIRA, Confluence): Participation in Scrum teams, test coordination, review of test artifacts, as well as defect tracking and root-cause analysis
- Error analysis & debugging (CANoe, CANalyzer): Analysis of errors and message flows across multiple system layers (application to bus)
- Model-based analysis (UML, Enterprise Architect): Specification of SUT/SOW and support for systematic test control
- Process & test documentation: Creation of integration and test documentation according to internal quality and certification requirements
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
Maziyar Khorrami
Last position:
Data Engineer at MSD Germany
- Lead Architect to design and implement the data lake and ETL Pipeline using AWS Stack
- Performance Optimization of Data Ingestion of ETL Pipeline
- Development of Data Validation using Great Expectations
- Leading of the data migration for two sources exchanges
- Data Modeling in AWS Redshift
MLOps
- Model inference implementation by mlflow and AWS SageMaker
- Feature Engineering for the running ML Models ( Recommender Engineer, Clustering )
- Implementatino of Model Registry and artifactory using mlflow
- Historization an Profiling of the Input Data Using AWS Glue Crawler and AWS Data Catalog
- Feature importance using mlflow
Tech. Stack: Python 3, AWS Glue, AWS Step Fucntion, AWS Lambda, AWS EventBridge, AWS IAM Role, AWS SageMaker, AWS EC2, AWS Glue Crawler, AWS CloudWatch, MLFlow, ETL, Data lake, GitHub Action, Terraform, Jenkins, Ansible playbooks (Infrastructure as Code), CI/CD, GitLab, SQL, PySparkSCRUM, Agile, Jira, BigData, VSCode, DBeaver, MSSQL, MySQL, grafana, Docker, Linux, Bash, MapReduce, Data Modeling (ORM), Pandas, YAML, SQL-Alchemy
Dmitry Varlamov
Last position:
Fullstack Software Developer at Mercedes-Benz Tech Innovation
- Backend development of the cloud-based microservice
- Frontend development of the microfrontend
- Migration of the cloud backend environment
- Rollout of the distributed high-availability Privacy Data Service
- Technologies: Java, Kotlin, Spring Boot, REST Services, Kubernetes, Microsoft Azure, Cloud Security, OpenAPI, Postman, JavaScript, Vue.js, AngularJS, TypeScript, Micro Frontend, Redis, Kibana, Grafana, CI/CD, GitHub Actions, Jenkins, Helm Charts, Sec-Hub, Black Duck, Docker, Maven, Git, Scrum
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
Jan Wahler
Last position:
Technical Consultant at AI Beratung (KMU)
- Evaluation of RAG for legal advisory (build or buy)
- Evaluation and POC of RAG for an ERP time tracking module
- Consulting on foundation model selection
- Setup AI development environment (eliminating shadow AI)
- AI strategy consulting
- AI-assisted code creation and context engineering make change sets larger
- Strong software engineering expertise, code reviews and safeguarding through pipelines and domain-specific automated test cases
Discover over 15,000 top freelancers
Statistics of experts using Object-Relational Mapping
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
3.7 years (Germany: 2.2 years)
Positions per freelancer
7 (Germany: 13)
Top business areas
Information Technology, Product Development, Research and Development
Top industries
Information Technology, Manufacturing, Automotive
Certification focus areas
Information Technology, Quality Assurance, Business Intelligence
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
83% (Germany: 61%)
Doctorate
17% (Germany: 19%)
Certifications per freelancer
6 (Germany: 3)
Most common languages
German, English, Czech
Speak two or more languages
100% (Germany: 98%)
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 Munich 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 Munich using Object-Relational Mapping
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
ORM basics
Object-Relational Mapping connects application objects to relational database tables. It is used to keep data access clean, reduce manual SQL in common flows, and make domain code easier to maintain. Strong specialists know when ORM helps and when direct queries are the better choice.
Common stacks
ORM work often sits inside ecosystems such as JPA and Hibernate in Java, or Entity Framework in .NET. Experts shape mappings, lazy loading, transactions, and repository layers so the persistence model fits the domain. They also spot problems caused by proxy behavior, N+1 queries, and leaky abstractions.
What companies need
- New application data models and entity mappings
- Refactoring raw SQL access into structured persistence layers
- Fixing slow queries caused by ORM-generated SQL
- Updating legacy code to modern ORM patterns
- Review of transaction boundaries and cascade rules
Companies bring in freelance specialists when the data layer becomes hard to change or hard to trust. In Munich, this is common in enterprise software, insurance, mobility, and platform teams that need reliable integration with existing databases.
Signs of trouble
- Queries are slow or hard to predict
- Entities and tables no longer match the domain
- Developers avoid the persistence layer because it feels fragile
- Migrations and schema changes keep breaking features
- Different services use inconsistent mapping rules
A good expert can trace the issue from object model to generated SQL and back. They should explain the trade-offs clearly, not hide them behind framework defaults.
What strong experts do
Strong professionals think in both models at once: object design and relational structure. They know how to balance convenience, performance, and correctness, and they write mappings that other specialists can keep working with. In remote or on-site work, clear communication matters as much as framework depth.
Deliverables
Typical deliverables include mapping reviews, persistence refactors, query tuning, and guidance for team standards. In Munich projects, specialists may also support mixed-language teams that need clean documentation and practical patterns for long-lived business systems. The goal is stable data access that fits the product, not framework complexity for its own sake.
Frequently asked questions
Curious about Object-Relational Mapping? Here are the answers that come up again and again.
Object-Relational Mapping is used to connect application objects to relational tables without writing every data operation by hand. It is common in business systems that need clear domain code, repeatable persistence rules, and maintainable data access. Teams still use SQL where it matters, but ORM handles a large part of the routine mapping work.
A strong ORM setup reduces repetition and keeps common data access close to the domain model. Direct SQL is often better for very specific reporting, heavy aggregation, or highly tuned queries. Most mature systems use both, and the best specialist knows where the boundary should be.
It depends on your stack, but Hibernate and JPA are the most common search terms in Java projects, while Entity Framework is the usual match in .NET environments. What matters most is whether the expert understands mappings, transactions, fetch strategies, and generated SQL. Framework names matter less than the ability to keep persistence predictable.
A good Object-Relational Mapping specialist also understands SQL, database design, indexing, and transaction handling. In Java or .NET projects, they should know the surrounding framework well enough to work with repositories, migrations, and testing. Clear debugging of query behavior is part of the job too.
For a small feature change, a focused ORM expert can be enough if the model is already stable. For legacy refactoring, performance issues, or a shared data layer, you want someone who has seen several persistence patterns before. The harder the schema and the more services touch it, the more valuable deep experience becomes.
Yes, most Object-Relational Mapping work can be done remotely because the core tasks are code review, mapping changes, query analysis, and tests. On-site time can help during architecture discussions or when many stakeholders depend on the same data model. Munich teams often mix both, especially in larger enterprise environments.
Look for an expert who can explain why a mapping exists, what SQL it produces, and where performance or consistency risks are hiding. A strong ORM professional will not just add annotations or configuration; they will question fetch strategy, cascade behavior, and transaction scope. Good deliverables are readable, tested, and easy for other specialists to maintain.
When the application spends too much time fighting the persistence layer, Object-Relational Mapping may be the issue. Common signs are unexpected queries, slow page loads, fragile entity graphs, and repeated workarounds in service code. At that point, a specialist should review the model, the generated SQL, and the database design together.
The average hourly rate of freelancers in Munich, Germany who have used Object-Relational Mapping in their recent projects is 115 €, which corresponds to a daily rate of about 920 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Object-Relational Mapping in their recent projects, 100% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Munich, Germany who have used Object-Relational Mapping in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 3.7 years.
The most common languages among freelancers in Munich, Germany who have used Object-Relational Mapping in their recent projects are German (100%), English (100%), and Czech (17%).
The most common industries among freelancers in Munich, Germany who have used Object-Relational Mapping in their recent projects are Information Technology (100%), Manufacturing (67%), and Automotive (50%).
The most common business areas among freelancers in Munich, Germany who have used Object-Relational Mapping in their recent projects are Information Technology (100%), Product Development (100%), and Research and Development (67%).
Main locations of FRATCH Experts, who have recently used Object-Relational Mapping
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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