OpenSearch Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used OpenSearch
Nemanja Milenković
Last position:
AI Engineer / Senior Backend Engineer at Intelycx
Manufacturing intelligence platform with enterprise workflows, RAG, real-time AI assistant features, and multi-repository backend architecture.
- Built and extended production AI/backend services with Django, DRF, FastAPI, GraphQL, Celery, PostgreSQL, MySQL, Redis, and WebSockets across a modular multi-repository platform.
- Contributed to ARIS V2, a real-time manufacturing AI assistant using LangChain, LangGraph, MCP tool orchestration, planning/execution flows, OpenAI, AWS Bedrock, Qdrant, and Elasticsearch/OpenSearch-backed retrieval.
- Supported rollout expansion from ARIS V1 in 4 of 17 client production plants to ARIS V2 currently active in 13 of 17 plants, increasing real-world deployment coverage to more than 50% of the client footprint.
- Worked on document-grounded RAG functionality including ingestion, OCR, chunking, embeddings, indexing, retrieval, reranking, and grounded answer generation for industrial workflows.
Stack: Python, Django, DRF, FastAPI, LangChain, LangGraph, GraphQL, Celery, WebSockets, OpenAI, AWS Bedrock, Qdrant, Elasticsearch/OpenSearch, PostgreSQL, MySQL, Redis, Docker.
Matthias Weiss
Last position:
DevOps Engineer at Interhyp AG
- Infrastructure management with Puppet and Terraform for consistent environments
- Maintenance and adaptation of Terraform scripts for Azure cloud deployment
- Migration of database systems and services to the Azure cloud
- Introduction of GitOps with ArgoCD for fully automated deployments
- Adaptation and development of GitHub pipelines for CI/CD workflows
- Creation of Helm Charts for standardized deployments
- Migration of repositories from Bitbucket to GitHub
- Operation and performance optimization of an Oracle 19c grid cluster (RAC, Dataguard)
- Setup and management of MongoDB instances (on-premise and Azure Kubernetes)
- Setup of PostgreSQL clusters in on-premise and Azure Kubernetes environments
- Migration of services, master data, and stored procedures from Oracle to PostgreSQL
- Troubleshooting and performance tuning of complex data infrastructures
- Installation, configuration, and upgrade of Tableau in the productive BI environment
- Development of sanity checks to monitor business processes and application logic
- Adaptation of the backup and recovery strategy to new requirements
- Carrying out disaster recovery and point-in-time recovery
- Technologies used: Oracle 19c RAC Grid Dataguard, PostgreSQL 16, MongoDB, MySQL Cluster, Kubernetes (Azure), Tableau, Puppet, Terraform, ArgoCD, GitHub/Bitbucket, CheckMK, Prometheus, Grafana, Icinga2, Ubuntu/RHEL
Thomas Pätzold
Last position:
Unix/Linux Administrator at BDAV Verwaltungs GmbH
- Consulting and project management to build an AI-based automation platform for market data analysis
- Automated testing of financial data
- Market data automation with Python and N8N
- AI data integration and AI learning
- Use of Ollama and Qwen
- Data organization and database management
Olaf Radicke
Last position:
DevOps Architect / Consultant at Authority with increased security requirements
- Identification of requirements (legal, organizational, and technical)
- Design of solution architectures
- Evaluation of concepts and technologies
- Preparation of decision templates
- Architectural Decision Records (ADR)
- Coordination of implementation
- Review of implementations
- Documentation
Tan Pham
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Alexander Schulze
Last position:
AI Consultant for AI Voice Bot System at Rudolf Hörmann GmbH & Co.KG
- Consultant for system architecture, AI agents & integration, coach for data & process logic, Graph-RAG approaches, security and data protection.
- On-premise AI solutions with high compliance and performance requirements.
- Architecture decisions, operational setup, strategic prioritization & deployment.
- Technologies: LiveKit JS SDK, LiveKit Agents, Web Audio API, JS, AudioWorklet, Loki, vLLM, Zscaler, Docker, Neo4j, MySQL, Python.
- Models: GPT-OSS 20B, Whisper large v3 turbo, Qwen3-TTS.
Michael Ulrich
Last position:
Senior Scrum Master/Agile Coach for Automated Driving at the Plant at BMW
- Analyzing and evaluating established corporate tools (Jira, Confluence, MS Teams, MS Planner, MS Project)
- Process redesign, transition support for external backend service providers
- Developing target agreements for the production plants involved worldwide
- Coordinating cross-functional requirements from plant teams and creating timelines with dedicated milestones (Gantt charts, etc.)
- Redesigning the project scope in Jira/Confluence and training in agile methods
- Carrying out requirements analyses and detailed development according to the V-model (project management)
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
Patrick Waldschmitt
Last position:
AI Software Engineer at IppenMedia
- Analysis
- Consulting
- Software design
- Development
- Automation
- Testing
- Deployment
- Architecture, development and deployment of various proof-of-concept applications around the integration of current AI interfaces including conversational, realtime voice, images and videos
- Developed best practices for working with agentic systems and AI in practice
- Created code templates
Michael Fecher
Last position:
Freelancer, Solution Architect at Schufa AG
- Helped to design the AWS infrastructure, integrated services and backend architecture for use cases of an on-premise solution and partial migrations to AWS with fast response times
- Implemented automated AWS integration test suites
- Implemented mission-critical components and delivered them before the deadline in a production-ready state with operation and monitoring concepts
- This 2-month subproject was about building a data-intense pipeline (5 TB) to be enriched continuously with data
- Designed and implemented reusable AWS CDK constructs to be used across the company’s teams to enable faster onboarding with AWS
- Coached on AWS topics, distributed software patterns, security, domain-driven design, agile collaboration and documentation to improve performance and collaboration
- Technologies: AWS, GitHub Actions, ETL, monitoring, operations, TypeScript, Python, AWS CDK, CloudFormation, Java, Docker, AWS ECS, AWS Lambda, serverless, Jenkins, DevOps principles
Patrik Garten
Last position:
Technical Lead Conversational AI at CANCOM
- Technical lead of a team developing agentic chatbot solutions (React, TypeScript, Python, FastAPI)
- Architecture design for multi-LLM dialog systems - focus on maintainability, UX, and autonomous execution
- Stakeholder alignment, CI/CD processes, and AI integration at enterprise level
Niels Majer
Last position:
Senior Software Developer / Cloud Architect at Biesterfeld SE
- Architected ETL services for event-driven data exchange between enterprise systems on a Kafka streaming backbone.
- Optimized CI/CD pipelines for Azure AKS deployments and improved OpenSearch monitoring and alerting for proactive incident detection.
Tech: Java / Kotlin, Quarkus, Kafka / Avro, Azure / AKS, Azure Storage Container, ArgoCD, GitLab CI, OpenSearch, Terraform
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
Patrick Eichler
Last position:
Honorary Lecturer at SRH University Berlin
- Cloud Computing Fundamentals & Architecture: Expertise in core cloud concepts, including the three main Service Models (IaaS, PaaS, SaaS) and diverse Deployment Models (Public, Private, Hybrid, Multi-cloud).
- Modern Application Deployment Strategies (GCP Focus): Instruction on the GCP Application Hosting Spectrum, covering Virtual Machines, Containers (Kubernetes and Cloud Run), Platform as a Service (App Engine), and Serverless Computing (Functions as a Service - FaaS).
- Data Management & Big Data Analytics: Comprehensive coverage of Cloud Storage options (Object, Block, File) and Database solutions, including Relational (Cloud SQL), NoSQL (Firestore, BigTable, Memorystore), and serverless enterprise data warehousing (BigQuery).
- DevOps and Infrastructure Automation: Skills in DevOps principles, including Continuous Integration (CI), Continuous Delivery (CD), Infrastructure as Code (IaC) using tools like Terraform, and implementing effective Monitoring and Logging for system observability.
- Emerging Technologies & Responsible Cloud Use: Focus on crucial topics like Cloud and IoT Security, Identity and Access Management (IAM), data privacy, and the ethical considerations of cloud and massive data collection.
Hichem Blagui
Last position:
IT Security Consultant & Data Engineer / Freelancer at datadefend GmbH
- Analysis and further development of the security architecture.
- Design and development of Splunk apps and technical add-ons (TAs).
- Development and implementation of security use cases in the Splunk SIEM.
- Creation and maintenance of incident response playbooks in Cortex XSOAR.
- Support of technical proof-of-concepts to assess new detection technologies.
- Lifecycle management and operational support for Splunk and Cribl systems.
- Deployment and scaling of Splunk indexers in hybrid data center environments.
- Maintenance, update planning, and optimization of Cribl Stream & Edge for log ingestion and data routing.
- Creation of dashboards and reports to visualize security posture and system availability.
- Technical analysis to assess network topologies and data flows.
- Integration of new data sources via Cribl Stream/Edge and heavy forwarders in cloud and on-prem environments.
- Integration of external security components such as Cortex XSOAR (SOAR) and user behavior analytics (UBA).
- Implementation of complex correlation rules in Splunk Enterprise Security (ES).
- Connection of external ticketing systems via mail gateways and REST APIs.
- Automated deployment of use cases, dashboards, and detection rules via Git and Ansible.
Discover over 15,000 top freelancers
Statistics of experts using OpenSearch
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
1.7 years
Positions per freelancer
13
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Retail, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
76%
Master's degree or higher
56%
Doctorate
15%
Certifications per freelancer
3
Most common languages
German, English, Spanish
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 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 core
OpenSearch is the search and analytics engine teams use for fast text search, log exploration, and operational dashboards. It is often chosen for product search, observability, security event review, and any system that needs flexible queries over large document sets.
Common builds
- Product and site search for catalogs, portals, and knowledge bases
- Log and metric exploration for operations and support teams
- Dashboards for business, security, and application data
- Relevance tuning with analyzers, filters, and scoring rules
- Data pipelines that index from apps, queues, or databases
Tooling stack
Strong specialists work with clusters, shards, replicas, mappings, and index lifecycle settings. They also know OpenSearch Dashboards, alerting, security plugins, ingest pipelines, and how to connect the engine to application services, streaming tools, and data sources.
When to bring help
Companies bring in freelance expertise when search becomes slow, relevance feels wrong, or mappings have grown messy. It also helps when a team is moving from Elasticsearch or Amazon OpenSearch Service, adding observability features, or cleaning up an unstable cluster in Germany that needs hands-on support and clear communication.
What good experts do
Good professionals think in documents, queries, and operational safety. They can explain trade-offs, reduce costly index changes, and keep search behavior predictable as data grows.
- Design mappings and analyzers that fit the data model
- Improve relevance with query structure and scoring rules
- Keep indexing, retention, and shard layout healthy
- Diagnose cluster issues and performance bottlenecks
Signs of quality
A strong OpenSearch specialist writes clear queries, understands how data is indexed, and can trace issues from the application layer to the cluster. They should know when to use OpenSearch Dashboards, when to adjust ingest pipelines, and when a schema change is safer than a quick fix.
Frequently asked questions
Not sure where to start with OpenSearch? These answers cover the essentials.
OpenSearch is used for search, logs, analytics, and dashboards. Companies rely on it for product search, internal knowledge search, observability, and security event review. It fits projects where fast filtering and flexible queries matter more than a simple database lookup.
OpenSearch is often compared with Elasticsearch because both serve similar search and analytics needs. In practice, teams look at licensing, plugin support, operational fit, and how much of the existing stack they want to keep. A good specialist can explain the migration impact before work starts.
Bring in OpenSearch expertise when relevance is off, indexing is unstable, or cluster maintenance is taking too much team time. It is also useful during migrations, security hardening, or when dashboards and alerts need a cleaner setup. Freelancers help most when the task needs focused search knowledge, not general application work.
A strong OpenSearch specialist usually knows data modeling, JSON query design, log pipelines, and Linux-based operations. Experience with OpenSearch Dashboards, ingest pipelines, and cloud infrastructure is also valuable. For observability projects, understanding application logs and metrics helps a lot.
Most OpenSearch work can be done remotely because cluster settings, queries, and dashboards are usually accessible from anywhere. On-site time can help for workshops, sensitive environments, or handover sessions with local teams in Germany. The best setup depends on access rules and how much collaboration the project needs.
A small search tune-up may need only one OpenSearch specialist, while a migration or a large cluster cleanup often needs deeper operational experience. The key is not a fixed title but proven work with mappings, shard design, performance, and failure recovery. If search is business-critical, choose someone who has handled production incidents.
Look for evidence that the OpenSearch professional has worked on the kind of search or analytics problem you have. Ask for examples of mapping changes, query tuning, retention policies, or migration steps they have handled. Clear explanations matter: strong experts can describe the trade-offs without hiding behind jargon.
Yes, OpenSearch is a strong fit when teams need to search logs, trace issues, and build security views from event data. It supports the kind of filters, aggregations, and dashboards that operations and security teams use every day. A specialist should also be able to shape retention and indexing so the system stays manageable.
The average hourly rate of freelancers in Germany who have used OpenSearch in their recent projects is 92 €, which corresponds to a daily rate of about 736 € based on an 8-hour working day.
Of the freelancers in Germany who have used OpenSearch in their recent projects, 76% hold at least a Bachelor's degree, 56% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Germany who have used OpenSearch in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Germany who have used OpenSearch in their recent projects are German (100%), English (100%), and Spanish (11%).
The most common industries among freelancers in Germany who have used OpenSearch in their recent projects are Information Technology (98%), Retail (49%), and Banking and Finance (47%).
The most common business areas among freelancers in Germany who have used OpenSearch in their recent projects are Information Technology (100%), Product Development (91%), and Quality Assurance (64%).
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.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg 
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FRATCH CEO
