Neo4j Experts in Berlin
in minutes from over 15,000 CVs with the power of AIHire experts who design graph models, write Cypher queries, and tune Neo4j for fast relationship-heavy search, recommendations, and fraud checks. FRATCH matches vetted, available specialists precisely and fast.
Meet FRATCH Experts in Berlin, who have recently used Neo4j
Deepak Mishra
Last position:
Lead ML Platform Engineer at Billie GmbH
- Mentor team of 6 ML platform engineers through weekly 1:1s, technical design reviews, and best practices, improving team velocity by 35% through structured sprint planning and skill development programs
- Define 2025–2026 ML platform roadmap in collaboration with Data Science, Cloud Engineering, and Product teams, prioritizing automated model governance, cost attribution systems, and multi-environment deployment strategies
- Partner with Data Science, SRE, and Product stakeholders to align ML platform capabilities with business objectives, reducing data scientist deployment friction by 60% through self-service platforms
- Architect and deliver production-grade MLOps platform supporting 50+ models in production with automated promotion pipelines, versioning, and rollback capabilities, achieving 99.5% platform uptime SLA
- Design distributed ML pipeline architecture using Metaflow and Argo Workflows (Vertex Pipelines-compatible), reducing model training time by 30% and deployment cycles from 2 weeks to 3 days through full CI/CD automation
- Build containerized ML services on Kubernetes with auto-scaling policies, resource quotas, and multi-tenancy isolation, optimizing infrastructure costs by $180K annually (25% reduction)
- Implement monitoring, alerting, and performance tracking using Prometheus, Grafana, and custom instrumentation, reducing model debugging time by 50% and establishing model performance SLOs
- Lead development of RAG-based document intelligence platform using LangChain, LangGraph, and vector databases, implementing agentic AI workflows for automated financial document processing
- Implement Infrastructure-as-Code using Terraform for reproducible environment provisioning and GitOps workflows, reducing infrastructure drift incidents by 80%
- Design role-based access control for ML platform, implement model lineage tracking, and establish audit trails for regulatory compliance aligned with enterprise IAM best practices
Ibrahim Hilali
Last position:
Senior Full Stack / AI Engineer at Punktum Digital GmbH
- Context: Healthcare and laboratory teams required faster document analysis, treatment-planning support, and reliable AI workflows for MR/VR-assisted operations.
- Contribution: Built the AI healthcare platform, model/agent workflows, VR-glasses deployment platform, REST APIs, Next.js/React interfaces, and CI/CD pipelines.
- Impact: Delivered a production-ready AI product foundation that improved clinical document review, supported laboratory automation, and made VR fleet deployment manageable across environments.
Tech: TypeScript, Next.js, Node.js, React, Java, Spring Boot, Python, PyTorch, TensorFlow, Docker, PostgreSQL, OpenAPI, GitLab, GitHub Actions.
Louis Guitton
Last position:
Freelance Solutions Architect and Machine Learning Engineer at Self-employed
- Develop and demonstrate solutions using GenAI software like langchain, vercel ai sdk, copilotkit
- Work with customers to understand their challenges and provide the best solutions based on open-source data products
- Build RAG and GraphRAG solutions using Neo4j, lancedb, and Postgres
- Deploy a LLMOps platform using kubernetes, terraform, helmfile, Arize phoenix, mlflow
- Architect and build data pipelines using dbt, Trino, Spark, Iceberg, Airflow, ArgoCD, terraform, kubernetes
- Delivered user-centred technical strategy for Agriculture 4.0 and precision livestock farming, helping my client secure funding from Bpifrance
- Delivered a prospecting tool for a leading French solar carport installer, using geospatial computing (GIS), speeding up the sales process
- Built digital twin architecture for solar carports and EV chargers, making real-time monitoring and smart charging possible
Sebastian Striebig
Last position:
Group Product Manager – Digital Platform Discovery at SPREAD.AI
- Developed and implemented organization-wide discovery framework based on Ulwick’s Outcome-Driven Innovation; enabled 7 Product Owners to systematically identify and quantify unrealized value through shared outcome language and opportunity scoring methodology
- Transformed Product Owner role from backlog clerks to strategic experimenters; established dedicated time budget for autonomous hypothesis testing and discovery activities
- Rebuilt customer journey maps to start at actual user need (tool selection phase) instead of platform entry point; eliminated manual data aggregation work previously done by project teams
- Implemented OKR framework across 4 product teams; defined quarterly objectives with measurable key results (e.g., 40% reduction in manual integration effort, self-service adoption increase)
- Unified 3 separate platform roadmaps through cross-team dependency mapping and shared service agreements
- Supported enterprise sales cycle with ROI modeling and technical due diligence for automotive and defense customers
Kenan Šabić
Last position:
Enterprise Architecture at Swiss Krono
- Established the Enterprise Architecture department. Prepared the convergence of IT/OT.
- Mapped the global business application landscape (6 countries).
- Designed a graph model of the application landscape. Stored the results in the open-source graph database Neo4j. Created various reports in the database query language CYPHER and using the visualization component Bloom. Automated generation of IT architecture diagrams.
- Developed an application taxonomy to identify redundant applications.
- Applied Gartner's Software Portfolio Management TIME model (Tolerate, Invest, Migrate, and Eliminate) for portfolio management.
- Enterprise Architecture governance: established architecture guidelines to document measures and decisions.
- Process modeling according to Porter (Value Chain).
- Various architecture approvals of initiative requests and documentation in Architecture Decision Records (ADR).
- Contributed to a RACI matrix for various processes.
- Worked on business capabilities in preparation for a LeanIX rollout.
- Participated in designing IT/OT convergence.
- Established architecture guidelines in a pragmatic company culture. Knowledge about applications and responsibilities was scattered globally.
Tejasvi Yogeshappa
Last position:
Backend Engineer at N26
- Developed and maintained Kotlin-based microservices with Kafka event streaming, applying Hexagonal Architecture and Domain-Driven Design in production environments.
- Contributed to the Bring-Your-Salary feature, enabling seamless onboarding of new salary accounts and improving customer experience.
- Built and integrated services for the FPAD VOP platform, supporting secure and scalable partner integrations.
- Investigated and resolved production incidents through root cause analysis (RCA), implementing fixes that improved service stability and reliability.
Kaan Dönmez
Last position:
IT Consultant at Tensora GmbH
Kalyani Kumar
Last position:
Assistant Vice President at Deutsche Bank
- Technologies: Java, React, Python, Scala, Spring Boot, JPA, microservices, Kubernetes, Docker, OpenShift, Eureka, Prometheus, Grafana, Zookeeper
- Led the design and development of enterprise wide data warehouse platform for efficient and secure data sharing using stateless, event-driven microservices architecture
- Served as component guardian and Scrum master for three microservices, ensuring seamless integration and maintaining high data integrity
- Optimized performance through Prometheus and Grafana, achieving measurable system resilience
Kenneth Foster Amponsah
Last position:
Assistant Vice President- Portfolio Risk at Deutsche Bank
- Conducting counterparty credit risk (CCR) stress testing across a wide range of asset classes, including Listed Derivatives and Securities Financing Transactions (SFTs), ensuring alignment with regulatory requirements.
- Supporting the execution of regulatory stress testing frameworks such as CCAR (Federal Reserve), ECB (Europe), and MAS (Singapore) — including scenario design, results analysis, and full end-to-end coordination.
- Plays a key role in the governance and documentation process for CCAR submissions to the Federal Reserve, ensuring timely delivery, internal signoffs, control evidence, and clear audit trails in line with regulatory expectations.
- Maintains comprehensive, audit-ready documentation for CCAR model assumptions, methodologies, and results interpretation, serving as a point of contact for internal and external audits as well as regulatory reviews.
- Acting as a key liaison during internal and external audits and regulatory reviews, preparing evidence packages, responding to queries, and addressing findings related to CCR stress testing.
- Presenting final stress testing results and key risk drivers to senior management and risk committees to secure executive approval and sign-off prior to regulatory submission.
- Analyzing credit exposure under stress across derivatives and SFT portfolios, identifying and explaining significant drivers.
- Participating in the review and enhancement of CCR methodologies, working closely with Risk Models, Front Office, Regulatory Reporting, and Technology teams.
- Development, implementation and automation of risk reporting infrastructure, improving transparency and controls across the CCR stress testing process.
Robert Hänsel
Last position:
Senior Software Engineer at Zalando SE
Konstantin Kurshunzhi
Last position:
.NET Senior Full-stack Software Developer at DINA Elektronik GmbH
- Tech-Stack: C#, XAML, WPF, MongoDB, Azure Cloud, Azure DevOps, Resharper, Rider, OAuth2.0, REST, XUnit, NSubstitute, FluentAssertions
- Designed and implemented the IO architecture for improved data flow and efficiency.
- Developed a new desktop application from scratch, improving user experience and functionality.
- Led the implementation of daily stand-ups, software refinements, retrospectives, and project planning.
- Wrote unit and integration tests to ensure code quality and stability.
- Conducted code reviews and mentored junior developers.
- Played a key role in the company's digitalization efforts.
- Managed a team of 4 software developers, providing leadership and direction.
Mario Ellebrecht
Last position:
Developer and Consultant at Freelancer
Discover over 15,000 top freelancers
Statistics of experts using Neo4j
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 17 years)
Position duration
2.5 years (Germany: 2.2 years)
Positions per freelancer
7 (Germany: 10)
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Product Development, Business Intelligence
Bachelor's degree or higher
100% (Germany: 94%)
Master's degree or higher
67% (Germany: 70%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
English, German, Arabic
Speak two or more languages
92% (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 Berlin 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 Berlin using Neo4j
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
What Neo4j does
Neo4j is a graph database for data shaped by relationships. It is a strong fit for recommendation engines, identity graphs, network analysis, fraud detection, and knowledge graphs where joins become expensive in relational systems.
Core skills
A strong specialist works with Cypher, graph data modeling, indexing, and performance tuning. They also understand import pipelines, access control, clustering, and how to map business questions to paths, nodes, and relationships.
Typical work
- Design property graph models
- Build Cypher queries and procedures
- Migrate data from SQL or APIs
- Tune read-heavy graph workloads
- Support Neo4j Aura or self-managed setups
Why companies bring in help
Teams often need outside support when a graph model is unclear, queries are slow, or a pilot must move into production. Freelance specialists help with clean schema design, query reviews, integration work, and rollout planning.
Berlin teams
In Berlin, Neo4j is often used in fintech, logistics, media, and product analytics teams. Many projects work well remote, but on-site sessions can help with domain mapping, stakeholder workshops, and early model decisions.
What strong specialists deliver
The best professionals keep the model simple, queryable, and easy to maintain. They know when Neo4j is the right choice, when a relational store is better, and how to build graph solutions that stay stable as data grows.
Frequently asked questions
Key details about Neo4j, drawn from the questions we get asked most.
Neo4j is used for data where relationships matter more than flat rows. Companies use it for recommendations, fraud rings, network tracing, access graphs, and knowledge graphs. It helps when you need to follow paths, not just filter records.
Neo4j is different from a relational database because it stores and queries relationships directly. That makes traversals and connected-data queries easier to express and often easier to keep fast. For simple transactional tables, SQL can still be the better fit.
Neo4j is often chosen for its mature tooling, Cypher query language, and strong ecosystem around modeling and operations. Teams usually compare it with other graph databases when they need flexible relationship queries and a clear path to production. The right choice depends on data shape, query patterns, and deployment needs.
A strong Neo4j specialist should know Cypher, property graph design, indexing, and import patterns. Good specialists also understand application integration, security, and how to read query plans. If the project is production-bound, operations knowledge matters too.
A small proof of concept may only need one focused Neo4j expert. Production work usually needs someone who can model data correctly, validate query performance, and handle deployment details. If the graph becomes central to the product, experience with scaling and maintenance becomes important.
Yes, Neo4j work is often a good fit for remote collaboration because modeling and query review happen well in shared documents and code. In Berlin, on-site time can still help at the start of a project, especially for workshops with product and domain teams. After that, many tasks can move remote.
A good Neo4j expert can explain the graph model in plain language and show why it fits the use case. Look for clear Cypher, sensible indexes, and evidence that they care about data shape and maintainability. Weak work often looks clever but becomes hard to evolve.
Neo4j projects often touch Cypher, APOC procedures, data import pipelines, and API layers in Java, Python, or JavaScript. Some projects also need cloud setup, clustering, or integration with search and analytics tools. The best specialists connect the graph to the rest of the stack without adding unnecessary complexity.
The average hourly rate of freelancers in Berlin, Germany who have used Neo4j in their recent projects is 90 €, which corresponds to a daily rate of about 716 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Neo4j in their recent projects, 100% hold at least a Bachelor's degree and 67% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Neo4j in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 2.5 years.
The most common languages among freelancers in Berlin, Germany who have used Neo4j in their recent projects are English (100%), German (92%), and Arabic (17%).
The most common industries among freelancers in Berlin, Germany who have used Neo4j in their recent projects are Information Technology (92%), Banking and Finance (67%), and Automotive (50%).
The most common business areas among freelancers in Berlin, Germany who have used Neo4j in their recent projects are Information Technology (100%), Product Development (92%), and Project Management (67%).
Main locations of FRATCH Experts, who have recently used Neo4j
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 
Munich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
