Elastic Stack Experts in Frankfurt
matched in minutes from over 15,000 CVs with the power of AIHire experts who build searchable observability systems, resilient log pipelines and Kibana dashboards with Elasticsearch, Logstash and Beats. FRATCH matches you quickly and precisely with vetted, available freelancers for your Elastic Stack project.
Meet FRATCH Experts in Frankfurt, who have recently used Elastic Stack
Prasad T.
Last position:
Solution Architect / Senior Manager – DTC E-Commerce Platform at BRITA
- Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
- Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
- Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
- Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
- Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
- Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
- Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka
Basil S.
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.
Kurt R.
Last position:
Lead Solution Architect (AI HealthTech) / interim CTO & Product Co-Owner at Physio-Agil Frankfurt
- General CTO responsibilities (architectural design, operational setup, external runtime product evaluation, investor buy-in, regulatory compliance).
- Software development oversight (implementation on deep-dive-in) plus workflow design.
- Product co-ownership.
- Tech/tools/frameworks: proprietary software (Java, JavaScript), Kubernetes, Postgres, MiniIO, Ollama (internal), several xAI API (external), OpenTofu (Terraform), Keycloak, Kafka, Prometheus, ELK Stack, GitHub, GitHub Workflows, Argo CD, ISO 27001, BSI-ISM, EU AI Act.
Tan P.
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.
Roman K.
Last position:
Senior Data Engineer / Cloud Architect at DB Systel
- Development of a central billing app for cloud costs at DB
- AWS
- Python
- AWS CDK
- RDS
- Spark (PySpark)
- Glue
- Lambda
- CI/CD (GitLab)
- React/Typescript
- data optimization
- Scrum
Delly F.
Last position:
Dad of 2 daughters at Family
Rashid I.
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 Elastic Stack
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Germany: 18 years)
Position duration
1.5 years (Germany: 2.2 years)
Positions per freelancer
17 (Germany: 13)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Healthcare, Retail
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100% (Germany: 90%)
Master's degree or higher
50% (Germany: 52%)
Doctorate
17% (Germany: 8%)
Certifications per freelancer
6 (Germany: 4)
Most common languages
German, English, Russian
Speak two or more languages
100% (Germany: 96%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Frankfurt are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.
Discover detailed Elastic Stack rate benchmarks:
Explore rate insightsAverage rates of experts in Frankfurt using Elastic Stack
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Elastic Stack 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%)
- Healthcare (71%)
- Retail (71%)
- Automotive (57%)
- Banking and Finance (57%)
- Transportation (57%)
- Pharmaceutical (57%)
- Insurance (43%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Search and observability
The Elastic Stack combines Elasticsearch, Kibana, Logstash and Beats to collect, search and visualize machine data. Companies use it for centralized log management, application performance monitoring, security analytics and operational dashboards. Elastic is also commonly called the ELK Stack, although the modern stack includes more than its original three components.
Core components
Elasticsearch stores and searches structured and unstructured data through a distributed search engine. Logstash transforms and routes events, while Beats and Elastic Agent collect data from hosts, applications and services. Kibana provides dashboards, visual exploration, alerting and workflow tools across the data.
Typical delivery
- Design index mappings, data streams and lifecycle policies
- Build ingestion pipelines for logs, metrics, traces and events
- Create Kibana dashboards, visualizations and alerts
- Connect cloud, container and application data sources
- Tune search, storage and ingestion for reliable operations
Strong professionals understand both the data path and the operational context. They can turn noisy event streams into useful signals without creating fragile pipelines or excessive storage overhead.
When expertise matters
Companies bring in freelance Elastic Stack expertise when log sources are expanding, searches are slow or teams cannot trust their dashboards. Specialists can modernize an older ELK Stack setup, migrate data, introduce observability or establish security analytics. In Frankfurt, they may support local teams on site while coordinating with remote product, cloud and security groups.
Skills around Elastic
Useful adjacent knowledge includes Linux, networking, APIs, cloud infrastructure, containers and infrastructure as code. Depending on the project, professionals also work with Kubernetes, OpenTelemetry, message queues, SIEM workflows and access controls. Familiarity with Java, Python or ingest scripting helps when integrations need custom logic.
Judging professional quality
Look for clear decisions about mappings, shard strategy, retention, access and failure handling rather than dashboard screenshots alone. A strong specialist explains how data is collected, enriched, indexed, queried and removed over time. Ask for examples of troubleshooting ingestion gaps, controlling costs and making results understandable to operations or security teams.
Frequently asked questions
Not sure where to start with Elastic Stack? These answers cover the essentials.
The Elastic Stack is used to collect, index, search and visualize logs, metrics, traces, security events and other operational data. Companies use it for observability, application troubleshooting, security monitoring, business search and centralized reporting.
The ELK Stack originally referred to Elasticsearch, Logstash and Kibana. The Elastic Stack is the broader product family and also includes tools such as Beats, Elastic Agent, APM and security capabilities.
Elasticsearch is suited to fast full-text search, flexible filtering, relevance ranking and analysis across large event or document collections. A relational database remains the better system of record for transactions, strict relationships and complex consistency requirements.
A strong Elastic Stack specialist usually understands Linux, networking, APIs, cloud infrastructure and data pipelines. Kubernetes, OpenTelemetry, message queues, security operations and infrastructure as code are valuable additions for broader observability or security projects.
The right level depends on the scope, data volume, reliability needs and existing architecture. A focused dashboard or ingestion task may need a narrow specialist, while cluster design, migration, security and production operations call for someone who has handled the full Elasticsearch lifecycle.
The Elastic Stack is well suited to remote collaboration because configuration, dashboards and pipeline changes can be reviewed through shared repositories and environments. On-site work in Frankfurt can still help with workshops, access constraints or close coordination with German-speaking operations and security teams.
Ask how the specialist would approach mappings, shard allocation, retention, access control, ingestion failures and query performance. A quality Elastic Stack professional connects technical choices to measurable operational needs and explains trade-offs clearly.
The Elastic Stack spans data collection, transformation, indexing, visualization and operations, so project boundaries should be clarified early. Professionals should confirm data sources, ownership, retention, environments, security requirements and who will maintain the solution after delivery.
The average hourly rate of freelancers in Frankfurt, Germany who have used Elastic Stack in their recent projects is 91 €, which corresponds to a daily rate of about 730 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Elastic Stack in their recent projects, 100% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Elastic Stack in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Frankfurt, Germany who have used Elastic Stack in their recent projects are German (100%), English (100%), and Russian (29%).
The most common industries among freelancers in Frankfurt, Germany who have used Elastic Stack in their recent projects are Information Technology (100%), Healthcare (71%), and Retail (71%).
The most common business areas among freelancers in Frankfurt, Germany who have used Elastic Stack in their recent projects are Information Technology (100%), Product Development (100%), and Business Intelligence (71%).
Main locations of FRATCH Experts, who have recently used Elastic Stack
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
