Jakarta Persistence (JPA) Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used Jakarta Persistence (JPA)
Uday Vanaparthy
Last position:
Full Stack JAVA Developer & DevOps Engineer at Deutsche Börse (DBAG)
Project: SCS (Settlement / Clearing Services)
Settlement platform serving multiple trading and clearing venues — counterparty risk safeguarding, settlement volume reduction, central risk management, and post-trade anonymity.
Technologies: Java 17, Spring Boot 3, Microservices, Spring Data JPA, SonarQube, Fortify (SCST), Mockito, Jenkins, OpenShift, Maven, Podman, GitHub, JIRA, Liquibase, Swagger, AMQP, Apache Camel, Terraform, PostgreSQL, Instana, Graylog.
- Identified and remediated CVEs in third-party libraries using SCA tooling, strengthening the security posture of production components.
- Maintained 90% code coverage with SonarQube, improving code quality and reducing production defects.
- Built and customized Helm charts and values.yaml configurations across 3 environments (ACT, SIMU, PROD), increasing deployment flexibility and consistency.
- Enabled mTLS for database authentication and message broker connections, enforcing encrypted, certificate-validated communication.
- Designed and deployed microservices with asynchronous, REST-based communication between components.
- Automated build and continuous integration pipelines using Maven and Jenkins.
- Used Podman and OpenShift for container orchestration and Liquibase for database version control.
- Optimized Java code and implemented EHCache-based caching, improving application performance.
- Managed application images, JAR versions, and dependencies via DBAG Artifactory Repository Manager.
Ingo Dettling
Last position:
Analytics at BaFin - Federal Financial Supervisory Authority Frankfurt
- Introduction of methods for developing and automated deployment of cloud-native software and machine learning applications in OpenShift clusters
- Development of various programs in Python
- Technologies: Kubernetes, OpenShift, Kustomize, ArgoCD, Tekton, Docker, PodMan, Airflow, IntelliJ, PyCharm, Git, Bitbucket, Jira, Confluence, Python
Florian Fladung
Last position:
Senior Backend Developer at ING Deutschland AG
- Database design with Oracle DB, JPA and Flyway considering high performance requirements
- Analysis of multiple architecture drafts and identification of technical risks
- Design and implementation of various interfaces and integrations, especially REST APIs and Kafka topics
- Setup of Elasticsearch for monitoring and analyzing log data
- Establishment of an iterative work approach in the project team facing complex business requirements
Ralf Köster
Last position:
Senior Java Developer, Consultant at Dataport AÖR
- Maintenance and further development of the Java/Swing-based @rtus FormsEditor
- Design and development of a graphical formula editor based on Google Blockly to map a project-specific DSL, including parsing and code generation
- Implementation of pixel-perfect synchronization between editor and print preview to improve user experience
- Technologies: Java 17/21, Swing, JavaFX, JBoss/Wildfly, JUnit, Mockito, Blockly, JPedal, ICEPDF, Eclipse
Adil Sultan
Last position:
Mobile/Backend Developer at Freelance
- Built a cross-platform mobile application using React Native that interacts with IoT devices via RESTful APIs
- Implemented state management with Redux and integrated IoT-specific components for smooth data visualization and device control
- Developed RESTful APIs using Node.js and Express, utilizing MongoDB for scalable data storage
- Facilitated secure communication between the mobile app and IoT devices, enabling device onboarding, status monitoring, and control commands
- Implemented real-time data synchronization and optimized data flow to minimize latency
David Rihm
Last position:
Lead Developer/Technical Architect
- Design, extension, and implementation of interfaces (REST, GraphQL, Kafka)
- Architecture and implementation of cloud-native microservices on Azure Kubernetes Service
- Domain-Driven Design, Event-Driven Architecture with Kafka
- Development of an extensive query engine for REST endpoints based on business objects
- Design and implementation of master data classification using machine learning algorithms (Weka library, Spotify Voyager)
- Analysis and evaluation of complex load test scenarios and derivation of optimizations
- Increase in system resilience (Kafka error handling, circuit breaker, sidecar service mesh in Go)
- Integration with CIAM systems (asynchronous real-time synchronization and definition of data ownership, authorization, authentication)
- Connection to Azure ServiceBus (AMQP protocol)
- Design and implementation of complex authorization concepts (including delegated administration)
- Documentation of the results (Confluence, architecture descriptions, architecture decisions)
Rashid Ibragimov
Last position:
Java Developer at IT company
- Data transformations
- IT company with more than 100 employees
- Software production
- Data augmentation and normalization, image transformation, format conversion, merging data from multiple sources
- Toolset: Java, Helm, Kubernetes, Kafka, OpenCV, IntelliJ IDEA, Gradle, Git, Docker, Containers, Scrum
Jörg-Ulrich Hammerbacher
Last position:
Data flows for health insurance providers
- Further development and creation of data flows for health insurance providers
- Data management across various storage systems (DB2, MSSQL, PostgreSQL, S3, custom APIs, ...)
- Documentation and training
- Planning and deployment of NiFi 2.x (major upgrade)
- Integrating Grafana for visualization, monitoring, and alerting
- Extensive use of the NiFi API to continuously monitor the system and its components
Gulam Noxboundy
Last position:
Full-Stack Developer at .Attendo
Developed Skalman’s Food & Sleep Clock web app with a digital assistant that reminds users about medication intake, meals, movement breaks, and other daily routines.
Implemented personalized meal suggestions and simple recipes with support for allergies and special diets, integrating AI to generate tailored meal ideas.
Built Flight Booking App using React and Axios for the front end, Spring Boot with JPA and MySQL for the back end, and implemented user authentication, form validation, and booking logic.
Designed and built a chatbot that accepts natural language queries and generates intelligent responses using OpenAI’s language model.
Developed MarketPlace_AP with React and Axios on the front end, Spring Boot with JPA and MySQL on the back end, enabling users to discover services or products, with authentication and form validation.
Created a Meeting Calendar page allowing users to schedule, view, and manage meetings using React, Axios, Spring Boot, JPA, MySQL, and authentication with validation.
Created a Todo List Manager: built a REST API with Node.js, Express, and MongoDB; developed a React front end featuring status toggling and filtering; deployed on Heroku and integrated with GitHub for CI/CD.
Discover over 15,000 top freelancers
Statistics of experts using Jakarta Persistence (JPA)
Aggregated from the professional profiles of matched freelancers.
Experience
20 years
Position duration
1.9 years (Germany: 2.1 years)
Positions per freelancer
15 (Germany: 14)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
67% (Germany: 53%)
Doctorate
17% (Germany: 11%)
Certifications per freelancer
1 (Germany: 3)
Most common languages
German, English, Russian
Speak two or more languages
100% (Germany: 95%)
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 Frankfurt 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 Frankfurt using Jakarta Persistence (JPA)
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
Core use
Jakarta Persistence, often called JPA, is the standard for mapping Java objects to relational data. It is used to build repository layers, entity models, and transaction-safe data access in enterprise systems, often alongside Spring Data JPA or Jakarta EE.
What specialists do
- Design entity and relationship mappings
- Write JPQL and Criteria queries
- Set fetch strategies, cascades, and locking rules
- Review performance around lazy loading and N+1 issues
Strong specialists keep the object model simple and the SQL efficient. They know when a JPA abstraction helps and when a query needs a sharper edge.
Ecosystem fit
JPA usually appears with Hibernate, EclipseLink, Spring Boot, and Jakarta EE. The work also touches database schemas, migrations, and test tooling, so solid experts understand both the Java side and the relational side.
When to bring in help
Companies often bring in freelance expertise when a persistence layer is hard to maintain, slow, or inconsistent across services. In Frankfurt, this is common in finance, insurance, logistics, and other systems where data integrity matters and teams need clear remote collaboration in English or German.
Signs you need JPA expertise
- Queries are hard to read or slow
- Entity graphs and joins are behaving unpredictably
- Schema changes keep breaking application code
- Different services handle the same data differently
A good specialist can trace the full path from domain model to database result and spot weak mapping choices early.
Good delivery
Look for professionals who explain trade-offs clearly, keep tests close to the data layer, and understand how JPA behaves in production. The best work leaves you with stable mappings, maintainable queries, and a persistence layer your team can extend without guesswork.
Frequently asked questions
Curious about Jakarta Persistence (JPA)? Here are the answers that come up again and again.
Jakarta Persistence (JPA) is used to map Java objects to relational tables and keep data access consistent across an application. It is common in business systems that need transactions, repositories, and clean domain models. Teams use it when they want a standard way to work with data instead of hand-written SQL everywhere.
JPA is a specification, while Hibernate is a popular implementation of that specification. In practice, many teams say JPA when they mean the JPA API plus Hibernate under the hood. A strong specialist knows both the standard and the behavior of the chosen provider.
A company should hire a Jakarta Persistence specialist when mappings are complex, queries are slow, or the data model needs careful refactoring. This is especially useful when the team must protect existing business logic while changing the persistence layer. If the project uses Spring Boot, legacy Java EE, or Jakarta EE, focused help saves time.
A strong JPA expert usually also knows SQL, database indexing, transaction handling, and one major provider such as Hibernate or EclipseLink. Spring Data JPA is another common companion skill in modern Java projects. The best specialists can move between object mapping, query design, and schema concerns without losing clarity.
A good Jakarta Persistence freelancer can start with a code review, sample entities, and a few key use cases. They still need clear domain rules, the database structure, and the main performance pain points. The more complex the inheritance, locking, or multi-service data flow, the more context they need up front.
Yes, JPA work is often done remotely because most tasks are code, query, and schema focused. For Frankfurt teams, remote collaboration is common as long as the specialist can align with the local team on language, review process, and release timing. On-site sessions help when the data model is tangled or the system is under active refactoring.
A strong Jakarta Persistence (JPA) specialist writes mappings that match the domain, keeps queries readable, and avoids common pitfalls like uncontrolled lazy loading. They should explain why a join, fetch plan, or cascade choice was made. Good signs include clean tests, clear migration handling, and practical advice on performance.
Many older projects still refer to JPA as Java Persistence API, which was the earlier name most teams used for the same core idea. In older codebases you may also see Hibernate-specific patterns mixed in with standard JPA annotations. A skilled freelancer can work comfortably across both older and newer Jakarta-based setups.
The average hourly rate of freelancers in Frankfurt, Germany who have used Jakarta Persistence (JPA) in their recent projects is 91 €, which corresponds to a daily rate of about 725 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Jakarta Persistence (JPA) in their recent projects, 100% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Jakarta Persistence (JPA) in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Frankfurt, Germany who have used Jakarta Persistence (JPA) in their recent projects are German (100%), English (100%), and Russian (22%).
The most common industries among freelancers in Frankfurt, Germany who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (100%), Banking and Finance (78%), and Automotive (56%).
The most common business areas among freelancers in Frankfurt, Germany who have used Jakarta Persistence (JPA) in their recent projects are Information Technology (100%), Product Development (89%), and Quality Assurance (67%).
Main locations of FRATCH Experts, who have recently used Jakarta Persistence (JPA)
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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