SAX Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used SAX
Sercan Tatar
Last position:
Co-Founder & Lead Software Architect at Pflege-Pfad
- Focus: system architecture, cloud-native platforms, microservices, API design
- Product: Pflege-Pfad is a digital matchmaking platform that connects relatives of people in need of care directly with verified care services and caregivers - without an agency and without ongoing fees.
- Business analysis & process design:
- Analysis of the German care market and identification of the key pain points of both target groups.
- Modeling of the core business processes: registration, verification, care request, application, placement, and rating.
- Definition of the business model as a freemium/premium model with optional contact unlocking.
- Creation of user stories and requirements documentation for relatives, care services, and administrators.
- Design of trust and quality assurance mechanisms with document upload, admin review process, and rating system.
- Coordination with stakeholders and validation of product decisions with potential users.
- Technical implementation:
- Design and implementation of the entire platform architecture as a solo developer.
- Design and implementation of a REST API with Spring Boot and Kotlin, including JWT-based authentication.
- Development of the frontend as a single-page application with Angular 17.
- Implementation of the AWS infrastructure with EC2, RDS PostgreSQL, S3, CloudFront, and IAM.
- Document upload with AWS S3 via presigned URLs for verification of care services.
- Email notifications via Resend API.
- AI-supported care service search via OpenAI API.
- Implementation of complete user flows such as registration, login, password reset, and placement process.
- Building an admin panel for user and care service management as well as analytics.
- CI/CD with GitHub Actions and containerized deployments with Docker.
- End-to-end tests with Playwright.
Technologies: Kotlin, Spring Boot 3, Spring Security, JWT, JPA/Hibernate, PostgreSQL, Angular 17, TypeScript, RxJS, AWS (EC2, ECS, S3, CloudFront CDN, RDS PostgreSQL, IAM), nginx, GitHub Actions, Playwright, Maven, Git, OpenAI API, Resend API, Docker, Scrum, i18n (DE/EN/TR), Kiro, feature-flag architecture.
Rainer Langbehn
Last position:
Senior IT Consultant, Senior Software Architect, Senior Software Developer, Senior DevOps Engineer at Techniker Krankenkasse
Automation of the database major / minor releases for the TKeasy project
Concept for database major / minor release automation
As-is analysis
Evaluation of Redgate Flyway functionality
Concept creation
Products: Redgate Flyway, GitHub, Quest, Erwin Data Modeller, Oracle, Atlassian Jira, Atlassian Confluence
Skills: Docker, Continuous Delivery, Continuous Integration, Redgate Flyway, Major Releases, Minor Releases
Minh Doan
Last position:
Project Manager / Business Analyst / Application Manager at Finance and Insurance
Introducing 5 different process applications for various teams
Release planning: scope and time management
Resource/capacity planning
Conducting sprint planning / retrospectives
Increment planning (multiple sprints)
Preparing steering committee meetings / reporting to the executive board
Coordinating / aligning with external suppliers / deliveries
Multi-project resource planning
Aligning with the business unit and development team
Identifying best practices with IBM BAW
Cost control and planning for the project team and external service providers
Collecting KPIs using LogScale
Analyzing application errors with LogScale / queries
Defining user stories / aligning requirements with the business unit and development team
Testing and defect tracking
UI/UX design of the application
Preparing and facilitating brown-paper workshop
Test concept, test data, test organization, test execution
Recording team velocity / metrics
Executing tests
Scripts for automated testing
Organizing tests with the business unit and IT
Recording and prioritizing defects
Setting up and operating the application
Setting up application monitoring with LogScale dashboards
Checking health endpoints with PowerShell
Post mortem analysis
Setting up incident management
Setting up problem management
Analyzing errors using LogScale queries and dashboard
Pre-processing data for AI
Conducting evaluation with AI language models (Meta Llama 3.3 LLM and deepset Haystack) and RAG
Installing runtime environments for LLMs (large language model)
Evaluating various LLMs
Installing RAG (retrieval augmented generation) and integrating with LLM
Extracting unstructured data with LLM and RAG
Project based on IBM BAW (Business Automation Workflow), WebSphere Liberty, Domea, d.3, REST, LogScale (formerly Humio), Swagger, PowerShell, JIRA, Confluence, Lucom Interaction Platform (LIP), Mattermost, Jabber
Sridhar Huple
Last position:
SAP CX Consultant at Anonymous
- Stack: SAP Commerce 2011 (B2C).
- Migrating the data from Stibo system to SAP Commerce Cloud.
- Mapping the data from Stibo system to SAP Commerce Cloud.
- Integrating hot folders to support multiple countries and languages.
- Integrating validation tools for migrated data and generating validation reports.
Michael Dassisti
Last position:
Consultant Software Architect at Railway Systems Company
- Model based UML software design for safety critical level SIL-4 interlocking rail traffic system, according to CENELEC 50128 and IEC 62279 standards.
- Skills: CENELEC 50128, IEC 62279, UML Rhapsody code generation, IBM Engineering Workflow Management (EWM), DNG RM requirements tool, Design Patterns, software functional safety, Risk Control Measures, SCRUM.
Bernhard Höhn
Last position:
Conversion of external Excel and CSV delivery point lists for internal database interface, architecture at Stadtwerke Heilbronn
- Conversion of external Excel and CSV delivery point lists for internal database interface.
- The utility company receives delivery point lists from external service providers as Excel or CSV files. These lists are not interface-compliant and must be converted before importing into the database. Using Excel, the relevant data from the service providers for electricity and/or gas are prepared.
- Extension of the program with new features.
- Excel programming with VBA.
- Operating system: Windows 2010.
- Software: Excel, VBA.
Ioan Dobre
Last position:
Senior Software Developer at ING
- Tribe Home, Product Area 4 - Customer in Life, Squad Cybertron.
- Analysis, design, development, and testing of new requirements for Optimmo, mortgage financing software.
- Analysis, design, development, and testing of the JEE application MWS kredit-baufi.
- Analysis, design, development, and testing of the Wicket Optimmo application.
- Analysis, design, development, and testing of kredit-baufi batch programs.
- Migration of kredit-baufi batches to RHEL9.
- CiL SCS consumer pacts with Finagle.
- CiL SCS touch point architecture integration.
- Team size: 10.
- Tools / Frameworks: OpenJDK Java 17, Kotlin 1.6.0, Azure, Jenkins, Stash, JEE, GitLab, JIRA, Confluence, git, Spring 6.0, Spring Cloud, Spring Data, Hibernate, JPA, JMS, Kafka, Oracle, PL/SQL, Red Hat Enterprise Linux (RHEL), Maven, REST, JBoss, IntelliJ IDEA, Wicket 9 and 10, Istio.
Allal Kharaz
Last position:
Java Senior Full Stack Developer at Insurance ÖRAG
- Further development of a policy administration system (contract/claims) for the legal expenses insurer ÖRAG.
- My role: Senior Software Developer.
- The team consists of 12 developers.
- Technologies used: Java 8/21, Java EE, Quarkus, WebLogic, JPA, RabbitMQ, JTA, CI, CD, Jenkins, DB2, Maven, Jenkins, GIT (bitbucket) later GitLab, Junit, Elasticsearch, Mockito, Jira, SonarQube, Scrum, React, Workflow
- Migration and modernization of legacy systems: rewrote C and C++ code in Java to improve maintainability, scalability, and performance. Refactored Python into Java, including optimization and integration into modern architectures.
- Study on the use of AI (Codex) for implementing a Java feature. The goal is to compare the time spent and productivity of AI-supported development with a classic implementation by a developer. The results should show how strongly the use of AI affects development time and efficiency.
- Development of the following tariff calculators for the years 2024/2026: private, companies, doctors, farmers, owner-occupied G + H, landlords, traffic, club, top managers, sales representatives, special criminal law, savings bank, municipal, BayGT, doctors, Dehoga
Discover over 15,000 top freelancers
Statistics of experts using SAX
Aggregated from the professional profiles of matched freelancers.
Experience
27 years
Position duration
1.4 years
Positions per freelancer
30
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Transportation, Automotive
Bachelor's degree or higher
100%
Master's degree or higher
57%
Certifications per freelancer
1
Most common languages
German, English, Arabic
Speak two or more languages
100%
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 SAX
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
SAX basics
SAX is an event-driven way to read XML. Instead of loading a full document into memory, it fires callbacks as elements open, close, and deliver text. That makes it a good fit for large XML files, streaming input, and systems that need fast, low-memory parsing.
Where it fits
SAX is common in integration layers and data pipelines where XML still moves between systems.
- Parse feeds and message payloads
- Read configuration and metadata files
- Process large export or import jobs
- Extract data from XML streams
Ecosystem
Teams often use SAX with Java XML libraries, XML namespaces, XPath for later lookup, and validation against XSD. In Java, people may compare SAX with DOM or StAX when choosing how to handle XML. Strong specialists know when a simple handler is enough and when a different approach is easier to maintain.
Why bring in freelancers
Companies usually need outside help when XML processing is fragile, hard to debug, or tied to old systems. A good specialist can trace parser events, fix namespace issues, and keep throughput stable under real data loads. This is useful for migration work, legacy support, and urgent integration fixes in Germany where mixed vendor stacks are common.
What strong specialists do
Strong SAX professionals write careful handlers, manage state explicitly, and handle errors without breaking the full import. They understand character encodings, namespaces, validation, and streaming constraints. They also keep logic small, because SAX code becomes hard to read when callbacks do too much.
Signs you need SAX help
If XML parsing is slow, memory-heavy, or difficult to test, SAX expertise can help.
- XML files are too large for DOM
- Parsing breaks on namespaces or encoding
- Event handling is duplicated across services
- Import jobs need cleaner error handling
- Legacy Java code still depends on SAX
Frequently asked questions
Quick answers to the questions that come up most around SAX.
SAX is used to read XML as a stream of parsing events. Companies rely on it for imports, exports, feeds, configuration files, and other XML documents that are too large or too repetitive for a full in-memory model. It is a practical choice when memory use and parsing speed matter more than random access to the document.
SAX is event-driven, so it uses less memory than DOM and suits large XML inputs. DOM loads the full tree and is easier to navigate after parsing, while StAX gives more control because the code pulls events forward instead of receiving callbacks. Many teams choose SAX for simple streaming reads and move to DOM or StAX when the logic needs easier state handling.
A strong SAX specialist helps when XML handling is part of a critical integration, especially if the code is old, fragile, or difficult to change safely. They are also useful during platform migrations, parser bugs, and performance fixes in import or export jobs. If a team knows XML but not event-driven parsing well, outside help saves time.
A SAX expert should also know XML namespaces, character encodings, validation with XSD, and the surrounding language runtime, often Java. XPath, logging, and clean error handling are useful too, especially when SAX is only one step in a larger data flow. In many systems, knowledge of integration formats and legacy middleware matters as much as the parser itself.
SAX is still a good choice when the input is large, the structure is predictable, and the code only needs to extract or transform data while reading. It is less attractive when the team needs easy document navigation or complex tree edits, because callback-based logic can become hard to maintain. For many new systems, it is used in a focused part of the pipeline rather than as the main XML model.
A simple SAX task may only need someone who has shipped XML parsing before and understands event callbacks. A harder project, such as a legacy migration or a high-volume import, needs a specialist who can reason about state, namespaces, and failure modes. The more business-critical the XML flow is, the more important deep practical experience becomes.
Yes. SAX work is often done remotely because most tasks involve code review, parser logic, test fixtures, and sample XML files rather than on-site setup. For teams in Germany, remote collaboration works well if requirements, sample data, and error cases are shared clearly; on-site sessions can still help when the XML flow is tied to older internal systems.
Look for a SAX professional who can explain event flow clearly, show how they handle namespaces and encoding, and demonstrate clean tests with real XML samples. Good signs are small handlers, clear error reporting, and code that is easy to extend without breaking parsing state. If they can compare SAX with DOM or StAX and explain why they chose one approach, that is a strong signal.
The average hourly rate of freelancers in Germany who have used SAX in their recent projects is 89 €, which corresponds to a daily rate of about 709 € based on an 8-hour working day.
Of the freelancers in Germany who have used SAX in their recent projects, 100% hold at least a Bachelor's degree and 57% hold at least a Master's degree.
On average, freelancers in Germany who have used SAX in their recent projects have 27 years of professional experience, with a single engagement typically lasting around 1.4 years.
The most common languages among freelancers in Germany who have used SAX in their recent projects are German (100%), English (100%), and Arabic (13%).
The most common industries among freelancers in Germany who have used SAX in their recent projects are Information Technology (100%), Transportation (100%), and Automotive (88%).
The most common business areas among freelancers in Germany who have used SAX in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (88%).
Main locations of FRATCH Experts, who have recently used SAX
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.
Request a free demo
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