OpenSearch Experts in Berlin
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Meet FRATCH Experts in Berlin, who have recently used OpenSearch
Mathias Wilhelm
Last position:
Implementation of an on-premise OCR solution with information extraction at Mindhopper GmbH
- Insurance service provider*
Challenge: Business-critical documents were processed through external OCR providers, with ongoing costs, dependency, and data privacy risks for sensitive insurance data.
Implementation:
- Architecture and production implementation of an on-premise OCR solution with full data ownership
- Methods for recognizing document structures as the basis for automated further processing
- ML-, NLP-, and LLM/VLM-based information extraction, especially from invoices and quotations
Success: Replaced external providers: full data ownership, GDPR-compliant processing, and 75% lower recurring OCR costs per year
Used technologies: Python, Docker, Microservices, FastAPI, PyTorch, Torchvision, MongoDB, MySQL
Vili Dhamo
Last position:
Technical Lead, Data Engineer at Mercedes-Benz Consulting
- Optimized the data architecture (medallion) to better decouple processing stages and improve transparency and reproducibility
- Ensured technical quality of data processing in Databricks by introducing schema enforcement, data quality checks and a structured data architecture
- Orchestrated pipelines with Azure Data Factory
- Professionalized and automated the development and deployment process by integrating Git and GitHub Actions
- Led the Data Engineering team (3 members) in a functional role
- Conducted workshops to optimize and stabilize the data platform and the development process
- Collected and prioritized new requests, maintained the product backlog
- Technologies: Microsoft Azure (Data Lake, Data Factory), Databricks, Apache Spark (PySpark), Python, SQL, Git, Confluence, Power BI, Power Apps, Dataverse, MS SharePoint, Mural
Hans-Christian Pahlig
Last position:
Senior Full Stack and AI Engineer at simpleshow
- Developed a Generative AI-based image recommendation engine for an AI video production system
- Implemented automatic image analysis with GPT-4o
- Built semantic vector search using OpenAI embeddings, MongoDB, and OpenSearch
- Tagged and indexed 4 million customer assets
- Redeveloped recommendation engine with a hybrid, balanced keyword and vector search plus filters
Kalpesh Patil
Last position:
Intern Java Developer at Unzer GmbH
- Developed a Proof of Concept for distributed tracing using OpenTelemetry within a microservices architecture, enhancing system observability and reducing mean-time-to-resolution for issues.
- Built and maintained backend services using Java and Spring Boot, ensuring high reliability and performance for payment transaction workflows.
- Implemented comprehensive automated testing with JUnit and Mockito, achieving 95% test coverage to ensure code quality and maintainability.
- Gained insight into payment transaction workflows, validating end-to-end system reliability and gaining domain knowledge in financial processes.
- Tech used: Java, Spring Boot, Microservices, REST API, Kafka, Grafana, Datadog, Docker, MongoDB
Meisam Ghafarlangroudi
Last position:
Senior AI Engineer / Data Scientist at Geeks Ltd (WordUp)
Geeks Ltd is a UK-based technology company; WordUp is its AI-driven language-learning product focused on personalized vocabulary learning and intelligent educational experiences.
- Coordinate AI product delivery across Product, Engineering, Data, Operations, and leadership, translating user needs into scoped initiatives, sequencing work, surfacing blockers, facilitating hand-offs, and communicating progress.
- Own search, recommendation, retrieval, and content-enrichment features end to end, from requirements and architecture through Python/FastAPI implementation, testing, deployment, monitoring, and rapid iteration.
- Developed low-latency retrieval, ranking, and personalization services using AWS, OpenSearch, DynamoDB, embeddings, and reusable APIs, achieving <1s latency, 22% higher engagement, and 12% higher premium conversion.
- Use AI coding assistants for codebase analysis, scaffolding, refactoring, tests, debugging, and documentation while reviewing every output for correctness, architectural fit, security, maintainability, and user value.
- Represent technical work in planning and stakeholder discussions, gather requirements first-hand, challenge priorities constructively, explain delivery trade-offs, and help teammates make outcome-focused decisions.
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.
Christian Richter
Last position:
Freelance Data Engineer at Ingenieurbüro Christian Richter – Data, Cloud & Container
- Contributed to over 20 successful projects
Robert Hänsel
Last position:
Senior Software Engineer at Zalando SE
Discover over 15,000 top freelancers
Statistics of experts using OpenSearch
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
2.1 years
Positions per freelancer
11
Top business areas
Information Technology, Product Development, Project Management
Top industries
Information Technology, Banking and Finance, Media and Entertainment
Bachelor's degree or higher
83%
Master's degree or higher
67%
Doctorate
33%
Certifications per freelancer
1
Most common languages
German, English, Persian
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 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 OpenSearch
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
Search engine core
OpenSearch is an open source search and analytics engine for teams that need fast text search, log exploration, and filtered discovery. It is used for product search, observability, security events, and internal knowledge search. Many companies choose it when they want control over their search stack and deployment model.
Common use cases
- Site and product search with relevance tuning
- Log and event analytics for operations teams
- Security and audit data exploration
- Search across documents, catalogs, and support content
Stack and tooling
Strong specialists work across the full OpenSearch stack, not just the index layer. That often includes OpenSearch Dashboards, ingestion pipelines, analyzers, mappings, shard design, and alerting. In Berlin, teams also look for professionals who can collaborate cleanly with product, data, and platform groups in English.
When to bring in help
Companies usually bring in freelance OpenSearch expertise when search quality drops, indexing grows messy, or clusters become hard to operate. The same applies during migrations from Elasticsearch, especially after license changes or when existing plugins and dashboards need replacement. Good experts shorten the path from trial setup to stable production use.
What strong experts do
- Design mappings, analyzers, and relevance rules
- Diagnose slow queries and cluster pressure
- Set up ingestion, retention, and lifecycle patterns
- Guide migration and compatibility decisions
What good work looks like
A strong OpenSearch professional writes clear index designs, checks query behavior with real data, and keeps operations predictable. They understand replicas, shards, refresh behavior, and how dashboards, alerts, and pipelines fit together. They also document tradeoffs so teams can maintain the system after delivery.
Frequently asked questions
Quick answers to the questions that come up most around OpenSearch.
OpenSearch is used for search and analytics where fast retrieval and flexible filtering matter. Teams use it for website search, log analysis, observability, security review, and content discovery. It fits well when a company needs both search quality and operational insight in one stack.
OpenSearch is often compared with Elasticsearch because many teams use it for similar search and log workloads. The big difference is ecosystem and governance, especially after the fork from the older Elastic stack. A freelancer should understand mappings, queries, and migration paths between the two.
A strong OpenSearch specialist usually knows JSON APIs, data modeling, Linux operations, and basic cloud infrastructure. Knowledge of OpenSearch Dashboards, ingestion tools, and observability workflows is also useful. For search-heavy products, relevance tuning and content structure matter just as much as cluster setup.
OpenSearch work can start small, but production search or analytics needs someone who has handled real indexing and query load. If the project involves migration, alerting, or cluster tuning, look for someone who has done that end to end. Simple trials may need less depth, but production use does not.
Yes, OpenSearch work is often done remotely because most tasks happen through dashboards, APIs, and infrastructure access. For Berlin teams, remote collaboration works well if there is clear access to logs, test data, and deployment pipelines. On-site sessions help when teams need workshop-style relevance tuning or migration planning.
A good OpenSearch freelancer explains index structure, query logic, and operational tradeoffs in plain language. Look for evidence of clean migrations, stable clusters, and search behavior that matches business goals. Strong specialists also document decisions so your team can run the system later.
Yes, OpenSearch is often a strong fit for logs, traces, alerts, and event search when teams want flexible exploration. It can support dashboards, retention rules, and searchable operational history in one place. The key is proper ingestion design and careful index lifecycle planning.
Before you hire a OpenSearch expert, gather sample queries, index mappings, data volumes, and any current cluster issues. If you are migrating from Elasticsearch or another search stack, include plugin lists, dashboard setups, and compatibility concerns. Clear examples help the specialist diagnose problems faster and propose the right design.
The average hourly rate of freelancers in Berlin, Germany who have used OpenSearch in their recent projects is 78 €, which corresponds to a daily rate of about 626 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used OpenSearch in their recent projects, 83% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 33% hold a doctorate.
On average, freelancers in Berlin, Germany who have used OpenSearch in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Berlin, Germany who have used OpenSearch in their recent projects are German (100%), English (100%), and Persian (13%).
The most common industries among freelancers in Berlin, Germany who have used OpenSearch in their recent projects are Information Technology (100%), Banking and Finance (63%), and Media and Entertainment (50%).
The most common business areas among freelancers in Berlin, Germany who have used OpenSearch in their recent projects are Information Technology (100%), Product Development (100%), and Project Management (63%).
Main locations of FRATCH Experts, who have recently used OpenSearch
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.
Countries:
Berlin 
Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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