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Elastic Stack Experts in Frankfurt

in minutes with vetted, available specialists and the power of AI.

Hire experts who build search, log analytics, and observability setups with Elasticsearch, Kibana, Logstash, and Beats. They help you tune indexing, dashboards, alerts, and data pipelines while FRATCH matches you fast and precisely with vetted, available freelancers.

Meet FRATCH Experts in Frankfurt, who have recently used Elastic Stack

Verified expert

Tan Pham

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DevOps & Fullstack Engineer

Hanau
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.
Verified expert

Basil Sattler

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Senior Developer / Data Engineer

Frankfurt am Main
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.
Verified expert

Kurt Rosenberg

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CTO / Project Lead & Product Co-Owner

Eschborn
Kurt Rosenberg

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.
Verified expert

Oluwasegun Adebayo

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Observability Specialist

Eschborn
Oluwasegun Adebayo

Last position:

Observability Specialist at ING GmbH

  • Requirements analysis for the enterprise-wide observability platform.
  • Creation of playbooks and pipelines for rolling out Envoy, OpenTelemetry Collectors, and OpenTelemetry Agents.
  • Conducting load tests for capacity planning of metrics for the observability platform.
  • Documentation and implementation of compliance standards for production readiness.
  • Creation and design of RED metrics, spanmetrics, JBoss, and Tomcat dashboards for mission-critical applications.
  • Setting up alerts for critical applications for proactive incident response.
  • Integration of OpenShift applications into the enterprise-wide observability stack.
Verified expert

Delly Fofie

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Dad of 2 daughters

Dreieich
Delly Fofie

Last position:

Dad of 2 daughters at Family

Verified expert

Rashid Ibragimov

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Java Developer

Schwalbach am Taunus
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 Elastic Stack

Aggregated from the professional profiles of matched freelancers.

Experience

18 years

Position duration

1.4 years (Germany: 2.1 years)

Positions per freelancer

16 (Germany: 12)

Top business areas

Information Technology, Operations, Product Development

Top industries

Information Technology, Automotive, Banking and Finance

Certification focus areas

Information Technology, Product Development, Business Intelligence

Bachelor's degree or higher

100% (Germany: 88%)

Master's degree or higher

57% (Germany: 52%)

Doctorate

14% (Germany: 10%)

Certifications per freelancer

7 (Germany: 4)

Most common languages

German, English, Spanish

Speak two or more languages

100% (Germany: 96%)

Based on our profile pool as of 30 Aug 2026.

Daily rate distribution

0 1 2 3 4
<€720 €720-​800 €800-​880 €960-​1040 €1120+

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 Elastic Stack

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 784 €
Germany avg. 792 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 760 €
Germany median 800 €

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 and logs

Elastic Stack is used to search large data sets, centralize logs, and monitor systems in one place. Teams use it to make application events, infrastructure logs, and security signals easier to query and review.

Core tools

  • Elasticsearch for indexing and fast search
  • Kibana for dashboards, exploration, and alerts
  • Logstash for parsing and routing data
  • Beats and Elastic Agent for shipping data

Where it fits

Companies bring in Elastic Stack specialists when they need reliable observability, better troubleshooting, or a cleaner search layer for products and internal tools. In Frankfurt, this often matters for finance, SaaS, logistics, and operations teams that handle high-volume data and need clear visibility.

What strong experts do

Good professionals understand mappings, analyzers, shard design, query structure, and index lifecycle management. They also know how to keep clusters stable, control storage growth, and avoid slow searches caused by poor data modeling.

Typical work

  • Design a search experience for web apps or portals
  • Build log pipelines and dashboards for operations
  • Set up alerting for incidents and service health
  • Improve index performance and retention policies

Hiring signals

Bring in freelance help when your current team can run Elastic Stack but not tune it well enough, or when a rollout touches multiple systems and data sources. The best specialists leave behind clear dashboards, stable pipelines, and documentation your team can maintain.

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Frequently asked questions

Not sure where to start with Elastic Stack? These answers cover the essentials.

Elastic Stack is used to search data, centralize logs, and build observability views across apps and infrastructure. Companies also use it for security analysis, audit trails, and product search where fast filtering matters.

Elastic Stack is the broader name for the ecosystem that many teams still call ELK. ELK usually refers to Elasticsearch, Logstash, and Kibana, while Elastic Stack also includes tools such as Beats and Elastic Agent.

A Elastic Stack specialist is useful when search is slow, dashboards are messy, or log data is hard to trust. Freelance help also makes sense for migrations, cluster tuning, and building a clean observability setup without pulling core staff off other work.

A strong Elastic Stack professional should understand Elasticsearch mappings, analyzers, aggregations, and index design. Useful adjacent skills include Linux, JSON, data pipelines, incident troubleshooting, and basic security monitoring.

Elastic Stack is often chosen for flexible search and observability with deep control over data modeling. Splunk is frequently used for turnkey log analytics, while OpenSearch is a common alternative when teams want an open-source path with similar search features.

Elastic Stack projects that involve only dashboards or simple log shipping can be handled by a generalist with solid guidance. Cluster sizing, performance tuning, and production search design need a specialist who has worked with real traffic and real data shape problems.

Yes, many Elastic Stack specialists can work remotely because most tasks are configuration, analysis, and review based. Frankfurt teams often only need on-site time for workshops, access planning, or meetings with security and operations stakeholders.

A good Elastic Stack freelancer explains trade-offs clearly, asks about data volume and query patterns, and avoids one-size-fits-all setups. Look for practical deliverables such as clean mappings, useful dashboards, stable pipelines, and a plan for retention and cluster health.

The average hourly rate of freelancers in Frankfurt, Germany who have used Elastic Stack in their recent projects is 98 €, which corresponds to a daily rate of about 784 € 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, 57% hold at least a Master's degree, and 14% hold a doctorate.

On average, freelancers in Frankfurt, Germany who have used Elastic Stack in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.4 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 Spanish (14%).

The most common industries among freelancers in Frankfurt, Germany who have used Elastic Stack in their recent projects are Information Technology (100%), Automotive (71%), and Banking and Finance (71%).

The most common business areas among freelancers in Frankfurt, Germany who have used Elastic Stack in their recent projects are Information Technology (100%), Operations (86%), and Product Development (86%).

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 Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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Philipp Thomaschewski

FRATCH CEO

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