
Datadog Experts in Berlin
matched in minutes with vetted, available freelancersHire experts who monitor cloud infrastructure, connect logs with traces, and build actionable dashboards with Datadog. Work with specialists experienced in AWS, Kubernetes, OpenTelemetry, incident response and observability strategy, matched quickly and precisely from vetted, available freelancers.
Meet FRATCH Experts in Berlin, who have recently used Datadog
Julius H.
Last position:
Freelancer at Freelancer — Pharma Industry
- Led migration to GCP using Terraform, GKE, and GitOps, improving deployment consistency and scalability
- Implemented Datadog observability stack via Terraform and datadog-operator
- Established automated end-to-end tests and on-call processes, improving incident response and service reliability
- Migrated from NGINX Ingress Controller to Kubernetes Gateway API (NGINX Gateway Fabric)
- Migrated stateful services (PostgreSQL and Redis) to GCP, improving scalability and operational reliability
Rüdiger S.
Last position:
Full-Stack Software Engineer / Consultant for Digitalization at ARTEVENT
Designed, built, and launched an internal event planning web application used by over 100 department leads for a large event, despite having no dedicated testing phase.
Ensured smooth, failure-free operation during first production use, leading to the tool being adopted for future events.
Automated catering calculations and related workflows, significantly reducing email communication and manual computation effort for meal planning.
Managed deployment and hosting on a Linux server using Coolify, including application setup and runtime operations.
Hired and guided a communication designer on UX while independently owning all technical decisions and implementation.
Benjamin F.
Last position:
Freelance Product Manager, Product Owner, Scrum Master & Agile Coach at Freelance
Freelance product owner, scrum master and agile coach in various projects spanning from local agencies to multinational corporations in diverse industries.
Last projects:
Adevinta: Technical Project Manager responsible for coordination of several sub-workstreams building the world’s largest classifieds multi-tenant platform.
Aroundhome (a ProSiebenSat.1 company): Product Manager implementing and verifying on the business side a concept for digital qualification of user requests for matching service providers.
Peek & Cloppenburg Düsseldorf: Product Manager Mobile advising on and guiding the rebuild of Android and iOS apps.
Visual Meta GmbH (an Axel Springer company), Berlin: Director Product co-leading the Product & Engineering department together with the Director Engineering.
Responsibilities at Visual Meta GmbH:
Define and deliver a 3–5 year horizon product strategy including a product vision & mission connecting to existing company strategy and strategies from adjacent departments.
Refine an existing OKR process together with OKR master and directors of other departments to increase focus and outcome.
Support the Director Engineering in creating a platform transformation strategy to transform a monolithic on-premise tech stack into a service-oriented, cloud-based architecture and establish a domain-based organizational setup.
Accountability for a motivated and talented team of 5 head-level colleagues and 17 operational team members from product management, data and UX/UI design.
Key achievements at Visual Meta GmbH:
Defined and delivered a 3–5 year horizon product strategy including a product vision & mission.
Increased focus within OKR process by moving from 10 company-level objectives to 2 and from several hundred team-level key results to a few dozen.
Created a career path framework for the product team defining roles and responsibilities from junior to head level positions.
Santhosh K.
Last position:
Freelance Software Engineer at Zalando SE
- Drive migration of enterprise authorization platform from Styra DAS to open-source OPA via Skipper (Zalando's Golang-based ingress proxy) integration
- Optimise k8s resources and integrate native Prometheus metrics with OPA
- Migrate from internal monitoring solution to Prometheus CRs + Dash0
Tech Stack: Java/Kotlin, Golang, Python, Spring Boot, AWS, Kubernetes, Docker, OpenTofu, Prometheus, Grafana
Sejal V.
Last position:
Data & ML Engineering at Consulting
- Fractional leadership; consulting growth-stage startups and scale-ups on data strategy, ML products, and platform foundations
- Building decisioning systems for growth, personalization, & product experimentation, across e-Commerce, Digital Health, Energy, and Logistics
- Exploring Agentic AI & LLM-based tooling for production readiness patterns
Abhiroop B.
Last position:
Software Engineer III at Foundry Digital
- Developed and deployed microservices in Kotlin and Spring Boot, integrated AWS Secrets Manager to secure credentials and decreased network calls using Spring cache.
- Refactored Kafka consumer using Spring Kafka with semaphore-based backpressure to cap records and keep heap memory stable under spikes; switched to batch upserts to cut down on database invocations; added Testcontainers integration tests for Kafka and database to pave the way for future changes.
- Automated the financial reconciliation workflow in Spring Boot (Kotlin) using Spring Scheduler, transactional boundaries, JPA/Hibernate on MySQL, and Flyway migrations, saving the accounts team 16+ hours per week.
- Designed and dockerized payments end-to-end test framework in Robot (Python) with reusable keyword libraries and profiles; integrated with GitLab CI (JaCoCo XML and HTML reports) to accelerate releases and lift code coverage to 80%.
- Implemented end-to-end observability on Datadog by instrumenting services with Datadog APM, correlating metrics and logs, provisioning dashboards, and creating monitors with burn-rate alerts and anomalies to harden reliability and give stakeholders clear visibility.
Daniel B.
Last position:
Senior Cloud Consultant and Developer at SDIA/Leitmotiv
- Consulting an NGO in the field of data center sustainability in publicly funded projects (BMUKN with NADIKI and Umweltbundesamt with SIEC)
- Development of Python APIs and web applications, deployment on AWS/ECS with Terraform
- Collecting power consumption metrics for servers, CPUs, GPUs running AI workloads
- Technologies used: AWS, EC2, ECS, Fargate, CloudMap, VPC, Route53, Lambda, EventBridge, CodeBuild/CodePipeline/CodeDeploy, Terraform, Docker, Linux, Bash scripting, Python, Flask, SQLAlchemy, SQL, MariaDB, InfluxDB, Telegraf, Prometheus, Zabbix, Kubernetes, Letsencrypt, certificate management
Mario J.
Last position:
Architect / Developer at handyhase
- Overhaul of the entire design and implementation of new UI/UX aspects using React
- Planning of the software architecture and structuring of the project for long-term scalability using Git for version control
Qaiser A.
Last position:
Freelance Lead DevOps Engineer at Schwarz Gruppe Produktion
Bootstrapping a CloudOps team and building a multi-cloud provider backend for a low-code Internal Developer Platform (IDP) with env zero
Introducing user story mapping, ADRs, milestones, and backlog management
Designing and developing core APIs, setting up CI/CD pipelines, OpenTofu/Terraform scripts
Representing and communicating the team with third-party stakeholders (e.g. env zero)
(Cross-)team coaching on DevOps, software design, Terraform, Golang, and agile practices
Viktor S.
Last position:
AI Engineer (Freelance) at Empion
Enterprise AI content categorization and AI-powered web research.
- Built multi-LLM evaluation framework with annotated data
- Iterated LLM error rates based on annotated datasets
- Implemented AI-powered web research pipeline Stack: LLM, evals, OpenRouter, Python, Node.js, TypeScript, React
Sabaina A.
Last position:
Product Manager at Samwise GmbH
- Led stakeholder management, reported to the CPO, and partnered with engineering to ship CMS improvements, including user support, bug resolution, user interviews, market research, and competitor analysis.
- Drove Agile/Scrum ceremonies and roadmap planning, contributing to product vision, discovery, and strategic decision-making; created feature documentation, collaborated with developers, and led CMS QA, functional testing, automated testing, and UAT.
- Owned roadmap and prioritization using funnel analysis and commercial impact assessments; executed hypothesis-driven experiment loops to improve conversion and CTR.
- Managed product development of the couponing CMS, supporting issue resolution and assisting users with shop, coupon, campaign, gift card, and affiliate network deeplink setup; integrated AI technologies.
- Created scalable processes, SOPs, and workflows to standardize CMS usage across markets, reducing support tickets; spearheaded the Autopilot project to fetch deals and coupons via automation and AI.
- Drove CX improvements across coupon and gift card features for Condé Nast (WIRED, CN Traveller, Glamour), LA Times, and GQ; achieved a 10% increase in clickout conversion rate, a 19% increase in CTR, and a 16% reduction in drop-off at the coupon copy step.
Fikret A.
Last position:
Senior Product Manager at Enocta
- Executing the roadmap for LMS/LXP platform with 550+ enterprise clients and 4+ million users
- Led the 0-to-1 development of a conversational AI role-play product with the AI team
- Led GTM for the AI Roleplay, creating a new ARR stream, acquiring 15+ enterprise customers in Q1
- Led the development & GTM of a conversational AI Mentor product
- Serving on the strategic leadership team, contributing to long-term product and business strategy
Paulo A.
Last position:
Founder and Product Lead at Muvuca Solutions
- Lead a climate tech consultancy end to end, coordinating cross-functional teams, owning client strategy and project management, and delivering ESG strategies and AI-first products.
- Stay hands-on across discovery, analytics, roadmapping, architecture, and QA to safeguard execution quality.
- Designed, developed, and launched Jody, an AI travel planner (demo credentials provided).
Christopher M.
Last position:
Mobile & Full-Stack Engineer at Propstack GmbH
- Refactored the mobile app by reimplementing stores, models, API client, screens and components using Typescript
- Added performant on-device storage for stores as preparation for offline mode
- Integrated RNUILib to achieve a minimal and modern UI design quickly
- Implemented native packages to provide additional features such as displaying of caller IDs
- Planned feature development and UX improvements following initial refactoring and redesign
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
Discover over 15,000 top freelancers
Statistics of experts using Datadog
Aggregated from the professional profiles of matched freelancers.
Experience
17 years

Position duration
1.6 years (Germany: 1.9 years)

Positions per freelancer
10 (Germany: 11)

Top business areas
Information Technology, Product Development, Project Management

Top industries
Information Technology, Banking and Finance, Media and Entertainment

Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
95% (Germany: 93%)
Master's degree or higher
60% (Germany: 66%)

Certifications per freelancer
1 (Germany: 2)

Most common languages
English, German, Spanish

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 Datadog
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.
Datadog 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 (52%)
- Media and Entertainment (48%)
- Retail (48%)
- Education (35%)
- Automotive (30%)
- Healthcare (30%)
- Tourism (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Observability platform
Datadog is a cloud-based observability platform for understanding applications, infrastructure, logs, user activity and security signals in one place. Teams use it to detect failures, investigate slow services and connect technical events across distributed systems. Its dashboards and alerts turn operational data into actions for engineering, operations and security teams.
Core capabilities
Datadog specialists configure metrics, logs, traces, monitors and service maps for complex environments. They work with the Agent, integrations, tags, facets and query languages to create a consistent view of services and dependencies. Strong delivery also covers alert routing, dashboards, synthetic tests, real user monitoring and access controls.
Ecosystem and tooling
Datadog connects with cloud services, containers, orchestration systems, databases, message brokers and collaboration tools. Experts often combine it with AWS, Azure, Google Cloud, Kubernetes, Terraform, OpenTelemetry, Prometheus and CI/CD pipelines. They may also use APM, Network Performance Monitoring, Cloud Security, Incident Management and Workflow Automation within the wider product suite.
Typical projects
- Instrument services and standardize telemetry across environments
- Design dashboards for platform, product and business teams
- Tune monitors, escalation paths and on-call workflows
- Migrate from fragmented monitoring tools to a shared observability model
- Investigate latency, errors, deployment regressions and capacity risks
When expertise matters
Companies bring in freelance Datadog expertise when monitoring has grown uneven, alerts create noise or teams cannot trace an incident across services. Specialists can establish naming and tagging standards, review costs and permissions, and improve signal quality without disrupting production. In Berlin, they may support local teams on site or collaborate remotely across international engineering and operations groups.
What strong professionals bring
The best professionals understand more than the Datadog interface. They link telemetry design to service ownership, reliability goals, deployment practices and incident response. Look for clear reasoning about alert thresholds, useful dashboards, secure data handling and measurable operational outcomes, plus the ability to explain findings to both technical and non-technical stakeholders.
Frequently asked questions
Key details about Datadog, drawn from the questions we get asked most.
Datadog is used to monitor infrastructure, applications, logs, traces, networks, user experience and security events through a shared observability platform. Companies use it to detect incidents, investigate root causes, track service health and coordinate operational response.
Datadog provides a broad managed platform with data collection, storage, dashboards, alerting and integrations in one product. Prometheus and Grafana can offer more control and flexibility for metric-focused stacks, while New Relic is another integrated observability option; the right choice depends on existing tooling, governance and operational needs.
A strong Datadog specialist usually understands cloud infrastructure, Kubernetes, application performance, logging pipelines and incident response. Experience with Terraform, OpenTelemetry, CI/CD, service ownership and security controls helps turn monitoring data into a maintainable operating model.
The required depth depends on the project scope. Datadog dashboard setup may need focused product knowledge, while multi-account cloud observability, instrumentation standards, alert redesign or migration work calls for proven experience with distributed systems and production operations.
Datadog work is often well suited to remote collaboration because configuration, dashboards and telemetry reviews can be handled through shared repositories and cloud environments. On-site sessions in Berlin can still help with discovery, incident workshops or coordination across teams, especially when German and English communication needs to be balanced.
Ask how the professional approaches instrumentation, alert quality, tagging, permissions and ownership of monitors. A credible Datadog expert should show clear examples of reducing noise, improving incident investigation and documenting decisions rather than focusing only on attractive dashboards.
Datadog can consolidate parts of a fragmented monitoring stack, but replacement should follow a careful review of data sources, retention, integrations, workflows and team habits. A specialist should define a migration path, preserve essential signals and validate alerts before legacy tools are retired.
A Datadog freelancer may deliver Agent and integration configuration, telemetry instrumentation, dashboards, monitors, service maps, runbooks and incident workflows. Depending on the engagement, they may also provide an observability assessment, Terraform modules, migration documentation or training for internal teams.
The average hourly rate of freelancers in Berlin, Germany who have used Datadog in their recent projects is 88 €, which corresponds to a daily rate of about 702 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Datadog in their recent projects, 95% hold at least a Bachelor's degree and 60% hold at least a Master's degree.
On average, freelancers in Berlin, Germany who have used Datadog in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 1.6 years.
The most common languages among freelancers in Berlin, Germany who have used Datadog in their recent projects are English (100%), German (96%), and Spanish (9%).
The most common industries among freelancers in Berlin, Germany who have used Datadog in their recent projects are Information Technology (100%), Banking and Finance (52%), and Media and Entertainment (48%).
The most common business areas among freelancers in Berlin, Germany who have used Datadog in their recent projects are Information Technology (100%), Product Development (91%), and Project Management (61%).
Main locations of FRATCH Experts, who have recently used Datadog
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.
Request a free demo
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