OpenSearch Experts in Berlin
for reliable search and observability, matched in minutes with vetted freelancersHire experts who build relevance-focused search, log analytics and observability solutions with OpenSearch, OpenSearch Dashboards and data ingestion pipelines. FRATCH matches you quickly with precise, vetted and available freelancers.
Meet FRATCH Experts in Berlin, who have recently used OpenSearch
Mathias W.
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 D.
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 P.
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 P.
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 G.
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 Y.
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 R.
Last position:
Freelance Data Engineer at Ingenieurbüro Christian Richter – Data, Cloud & Container
- Contributed to over 20 successful projects
Robert H.
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 19 Sep 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
OpenSearch experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (100%)
- Banking and Finance (63%)
- Media and Entertainment (50%)
- Education (38%)
- Professional Services (38%)
- Retail (38%)
- Advertising (25%)
- Automotive (25%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Search and analytics platform
OpenSearch is an open-source search, analytics and observability suite based on the Elasticsearch and Apache Lucene ecosystem. Companies use it to index structured and unstructured data, power application search, analyze logs and explore operational events through dashboards. It supports searchable content at scale while giving teams control over deployment and data access.
Core use cases
OpenSearch fits products and internal systems that need fast discovery, filtering and analysis:
- Product, document and site search with relevance tuning
- Log aggregation, investigation and operational monitoring
- Security analytics and event analysis
- Business dashboards over indexed application data
- Similarity search and vector-based retrieval
Ecosystem and tooling
Professionals work with OpenSearch clusters, indexes, mappings, analyzers, shard design and lifecycle policies. OpenSearch Dashboards provides visual exploration, while Data Prepper, Fluent Bit, Logstash-compatible pipelines and Beats-style shippers can move data into the platform. Integrations with Kubernetes, cloud storage, monitoring systems and identity providers are common parts of a production setup.
Delivery and operations
A reliable implementation covers ingestion, schema design, query behavior, access control, backups and upgrades. Strong specialists also address cluster sizing, replication, snapshot recovery, alerting and performance analysis. In Berlin, teams may need professionals who can combine remote delivery with on-site workshops and clear communication across German and English-speaking stakeholders.
When expertise matters
Companies often bring in freelance OpenSearch expertise when search quality is inconsistent, indexes grow without a clear structure or dashboards cannot support incident work. Specialists can also help during migrations from Elasticsearch, the Elastic Stack or Amazon OpenSearch Service, especially when compatibility, licensing and operational ownership need careful review.
- Relevance tuning and analyzer changes are difficult to validate
- Query latency rises as traffic or data volume changes
- Pipelines lose events or produce inconsistent fields
- Access rules and tenant separation need redesign
- A migration requires a controlled cutover
What strong professionals bring
The best professionals connect user search behavior with cluster mechanics. They test relevance with representative queries, document mapping decisions and measure ingestion and query performance under realistic conditions. They also explain trade-offs between OpenSearch, Elasticsearch and managed services, then leave behind repeatable runbooks, dashboards and maintainable automation.
Frequently asked questions
Quick answers to the questions that come up most around OpenSearch.
OpenSearch is used for application search, log analytics, security analysis, observability and dashboards over indexed data. It can also support vector and semantic search when paired with suitable embedding and retrieval workflows.
OpenSearch is an open-source search and analytics suite that emerged from the Elasticsearch and Kibana codebase. The two ecosystems share important concepts, but their APIs, plugins, licensing models and managed-service options can differ, so compatibility should be checked before a migration.
A strong OpenSearch specialist often understands Lucene concepts, REST APIs, JSON, Linux, containers and Kubernetes. Experience with Fluent Bit, Data Prepper, Logstash-compatible pipelines, cloud infrastructure, security controls and observability tools is also valuable.
The right level depends on the scope, data shape and operational risk. A focused dashboard or index change may need targeted expertise, while a production cluster, migration or relevance redesign calls for a professional who has handled ingestion failures, shard behavior, recovery and performance testing.
OpenSearch projects can usually be delivered remotely when access, environments and ownership are well defined. Berlin teams may still prefer on-site workshops for search discovery, incident reviews or stakeholder alignment, with German or English communication agreed at the start.
Ask for evidence of production work involving index design, analyzers, ingestion pipelines and cluster operations. A quality professional should explain how they test relevance, protect data, monitor failures and document recovery rather than relying only on a list of tools.
OpenSearch supports log exploration, metrics-oriented dashboards, alerting and security analytics workflows. Its value depends on disciplined data collection, useful field mappings, access policies and dashboards designed around the investigations users actually perform.
OpenSearch is a strong choice when search needs rich text analysis, faceting, ranking, log exploration or flexible filtering across changing data. A database search feature may be simpler for transactional lookups, so the decision should consider relevance needs, operational skills, consistency requirements and data ownership.
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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Philipp Thomaschewski
FRATCH CEO
