Elasticsearch Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used Elasticsearch
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.
Jan Mundo
Last position:
Founder, Senior Solution Architect, Team Lead, Senior DevOps Engineer at CreArt IT GmbH
- Hands-on solution architect
- Digital product development - SaaS
- Strategic consulting on software architecture, cloud migration, and DevOps processes
- Coaching SE developers and IT architects
Basil Sattler
Last position:
Senior Developer / Data Engineer at Large energy-sector company
- Co-founded the Real-Time Data team, which grew to 10 members over time.
- Developed and delivered core data products.
- Optimized real-time application performance and implemented monitoring, alerting and logging solutions to ensure system stability.
- Created and maintained deployment pipelines.
- Collaborated with teammates, architects and experts in an agile Scrum environment.
- Operated applications, analyzed, tested and troubleshot software solutions.
Johannes Euteneier
Last position:
Freelance Software Consultant at S|R Software GmbH & Co. KG
- Provided consulting for modernizing legacy applications
- Delivered critical features under tight deadlines for backend and frontend
- Technologies: C#, .NET, WPF, WCF, REST, Angular, MS SQL Server
Markus Kollers
Last position:
Founder & Managing Director at Qrafto UG (haftungsbeschränkt)
- Founding and overall responsibility: Built a B2B SaaS platform for craft and construction businesses from the first line of code to the live launch with the first paying customer; solo founding including full establishment of the company and all business processes.
- Product and technology responsibility: Designed and developed the entire product.
- Infrastructure & DevOps: Managed a Kubernetes/Helm environment including CI/CD, monitoring, and security architecture; GDPR-compliant platform decisions and evaluation of EU-hosted LLM providers.
- Agentic coding as a productivity multiplier: Set up a productive multi-agent environment with Claude Code: up to eight parallel agents in isolated Git worktrees, Telegram-based remote control and monitoring, MCP integrations (e.g., Context7, Playwright for E2E tests), and a builder-critic pattern with custom slash commands (/research, /plan) and compressed project contexts. Result: development throughput on par with a small team while working solo.
- Go-to-market: Independently developed positioning, SEO and direct mail playbook, as well as target group analysis.
- Regulation & finance: Implemented e-invoicing requirements (ZUGFeRD/XRechnung), set up accounting and payment infrastructure, and managed funding and financing options.
Svyetoslav Pidgornyy
Last position:
CTO at Skar Audio
- Main developer in an online retail company
- Built an online shop using the Next.JS React framework
- Integrated the site with dozens of third-party apps using REST and GraphQL APIs
- Built a backend for order management, warehouse management (with iPhone app), and supply management
- Automated invoicing and finances with QuickBooks
Florian Fladung
Last position:
Senior Backend Developer at ING Deutschland AG
- Database design with Oracle DB, JPA and Flyway considering high performance requirements
- Analysis of multiple architecture drafts and identification of technical risks
- Design and implementation of various interfaces and integrations, especially REST APIs and Kafka topics
- Setup of Elasticsearch for monitoring and analyzing log data
- Establishment of an iterative work approach in the project team facing complex business requirements
Werner Keil
Last position:
Test Coordinator, Designer and Engineer at IBM
- Testing the SekIDP and related components
- Test design, execution and automation, microservices, GitHub Enterprise, Eclipse, Katalon Test Platform, API Testing, Confluence 8, JIRA/Xray, Draw.io, Swagger/OpenAPI, Postman, Docker, Kubernetes, Podman, PuTTY, E-Health, Telematik, Gematik standards, EPA, E-Rezept, sektoraler IDP, encryption, XaDES, PaDES, DICOM, HL7, FHIR, IHE, ICD, SSO, SAML/Shibboleth, OAuth, smartcards, JWT, two factor authentication Android and iOS, Wireshark, BrowserStack, Cypress, gRPC, REST, SOAP, WS-Security, Linux Shell, PowerShell, SSH/SSL, Java, Kotlin, Cordova, Gradle, Groovy, Python, TypeScript
Martin Gross
Last position:
Product Management for Medical Portal at MedTech Startup
- Product strategy and roadmap development for digital health portal
- Requirements engineering and feature prioritization
- User story definition and backlog management
- Prototype development
- Implementation of continuous delivery
- Search engine optimization
- Technological environment: Claude Code, Claude Sonnet 4.5, Agentic Coding, TypeScript, React, AstroJS, PostgreSQL, JetBrains IntelliJ, Netlify, Supabase, GitHub Actions, Git, DevOps, continuous delivery
Puya Dogouri
Last position:
Quality Assurance Consultant at Federal Employment Agency
- Consulting and implementation of functional test requirements
- Responsibility for and validation of test automation solutions in an agile team
- Support for QA topics during weekly release tests
- Creating test cases using Gherkin
- Developing automated tests with Cucumber and Playwright
- Specifying and maintaining automated and manual tests
Technologies used:
- Confluence
- Jira
- Cucumber
- Playwright
- Typescript
- Java
- Git
Delly Fofie
Last position:
Dad of 2 daughters at Family
Rohith Radhakrishnan
Last position:
Senior Software Engineer at Clark GmbH
- Upgraded Ruby from 2.7 to 3.1, boosting application performance by 30% and reducing technical debt.
- Integrated Zendesk Messenger into the customer support platform, streamlining communication workflows and increasing support efficiency by approximately 25% through faster response times and improved issue resolution.
- Orchestrated the migration of 65,000+ Schutzklick customer records to a new cloud platform, achieving zero downtime and accelerating data access speeds by 40% for internal teams.
- Implemented JumpCloud SSO for 500+ admin users, strengthening platform security and access control.
- Conducted k6 load testing, enabling the platform to support 10,000+ concurrent users without degradation.
Jens Daube
Last position:
Product Owner & Senior Data Scientist at Legal Tech
- Led an international team of six developers in a Scrum environment
- Defined strategic goals for the project in coordination with stakeholders and the development team
- Prompt engineering for language models to improve the accuracy and relevance of generated responses
- Implemented LangChain components for a RAG chatbot to answer legal questions
- Technologies: GPT-4, LangChain, Python (Pandas, sklearn, streamlit), Docker, GitLab, ChromaDB
Krisztián Korcz
Last position:
IT-Soc/Vulnerability at ITZBund
- Vulnerability management (Greenbone, Tenable SC, Rapid7)
- Automation of vulnerability scans
- OpenTofu (Terraform)/Ansible/Vault/Podman/Docker
- Compliance audit
- SOC (ElasticSearch, Graylog)
- Python/Rust/Bash/Shell/PowerShell
- Git collaboration
- Report standardization and automation
- POC for several vulnerability scanning systems
- Setup of vulnerability scanning system
Rashid Ibragimov
Last position:
Java Developer at IT company
- Data transformations
- IT company with more than 100 employees
- Software production
- Data augmentation and normalization, image transformation, format conversion, merging data from multiple sources
- Toolset: Java, Helm, Kubernetes, Kafka, OpenCV, IntelliJ IDEA, Gradle, Git, Docker, Containers, Scrum
Discover over 15,000 top freelancers
Statistics of experts using Elasticsearch
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 18 years)
Position duration
2.1 years (Germany: 2 years)
Positions per freelancer
13
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Automotive
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
94% (Germany: 93%)
Master's degree or higher
44% (Germany: 48%)
Doctorate
6%
Certifications per freelancer
3 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 99%)
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 Frankfurt 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 Frankfurt using Elasticsearch
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
Elasticsearch stores data in distributed indices and returns results with low latency, even when queries are complex. Companies use it for site search, product discovery, log analysis, monitoring, and operational analytics.
What experts deliver
- Index design and mappings
- Query tuning and relevance work
- Aggregations and filters for analytics
- Ingest pipelines and data enrichment
- Kibana dashboards and inspection
Ecosystem fit
Strong specialists know the Elastic Stack, including Kibana, Beats, Logstash, and Elastic Agent. They also work with document models, analyzers, shard settings, snapshots, and security features that keep search reliable in production.
When to bring help
Bring in freelance expertise when search feels slow, results look off, or a cluster needs cleanup after growth. Teams in Frankfurt often need support for regulated data, internal search, observability, and hybrid setups where remote work is fine but occasional on-site sessions help with stakeholders.
What strong professionals do
Good professionals think beyond simple keyword search. They shape mappings, improve relevance, monitor heap and shard behavior, and reduce noisy queries before they hurt user experience.
Common project signs
- Search returns inconsistent results
- Logs are hard to query or retain
- Indexes are too large or poorly structured
- Kibana views do not support the team
- Security or access control needs review
Frequently asked questions
Questions about Elasticsearch? Start with the answers below.
Elasticsearch is used for fast text search, filtering, ranking, and analytics across large document sets. Teams also rely on it for log search, observability, product discovery, and any workflow where users need to find relevant data quickly.
Elasticsearch is often chosen when teams need distributed search, flexible querying, and strong analytics in the same system. Compared with database full-text search, it usually gives more control over relevance, scoring, and large-scale indexing; compared with Solr, the choice often comes down to operational fit and team experience.
A strong Elasticsearch specialist usually understands JSON APIs, data modeling, query design, and Linux-based operations. Useful adjacent skills include Kibana, Logstash, Beats or Elastic Agent, plus scripting and application integration for the systems that feed search.
Elasticsearch projects vary from simple search setup to complex relevance and cluster work. For a production system, you want someone who has handled mappings, sharding, ingestion, and performance issues, not just basic indexing. The more critical the search experience, the more important real production work becomes.
Yes. Elasticsearch work is often done remotely because much of the task set is design, query review, and cluster tuning. For teams in Frankfurt, remote collaboration works well, while on-site sessions can help when search requirements must be aligned with product, data, or security stakeholders.
Elasticsearch help is usually needed when searches are slow, relevance is poor, indexes are growing without control, or dashboards do not answer the business question. Missing snapshots, weak security setup, and unstable ingest pipelines are also common signals.
Look for someone who can explain mappings, analyzers, query DSL, and shard behavior in plain words. A good Elasticsearch expert can show how they improved relevance, reduced load, or simplified ingestion, and they ask detailed questions about data shape and search goals before changing anything.
Elasticsearch is used for both. It powers keyword and semantic-style search experiences, but it also handles aggregations, dashboards, and operational analysis when teams need fast answers from large event or document streams.
The average hourly rate of freelancers in Frankfurt, Germany who have used Elasticsearch in their recent projects is 102 €, which corresponds to a daily rate of about 816 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Elasticsearch in their recent projects, 94% hold at least a Bachelor's degree, 44% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Elasticsearch in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Frankfurt, Germany who have used Elasticsearch in their recent projects are German (100%), English (100%), and French (19%).
The most common industries among freelancers in Frankfurt, Germany who have used Elasticsearch in their recent projects are Information Technology (94%), Banking and Finance (63%), and Automotive (56%).
The most common business areas among freelancers in Frankfurt, Germany who have used Elasticsearch in their recent projects are Information Technology (100%), Product Development (88%), and Quality Assurance (75%).
Main locations of FRATCH Experts, who have recently used Elasticsearch
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 
Leipzig Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
