Amazon EC2 Experts in Berlin
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Meet FRATCH Experts in Berlin, who have recently used Amazon EC2
Deepak Mishra
Last position:
Lead ML Platform Engineer at Billie GmbH
- Mentor team of 6 ML platform engineers through weekly 1:1s, technical design reviews, and best practices, improving team velocity by 35% through structured sprint planning and skill development programs
- Define 2025–2026 ML platform roadmap in collaboration with Data Science, Cloud Engineering, and Product teams, prioritizing automated model governance, cost attribution systems, and multi-environment deployment strategies
- Partner with Data Science, SRE, and Product stakeholders to align ML platform capabilities with business objectives, reducing data scientist deployment friction by 60% through self-service platforms
- Architect and deliver production-grade MLOps platform supporting 50+ models in production with automated promotion pipelines, versioning, and rollback capabilities, achieving 99.5% platform uptime SLA
- Design distributed ML pipeline architecture using Metaflow and Argo Workflows (Vertex Pipelines-compatible), reducing model training time by 30% and deployment cycles from 2 weeks to 3 days through full CI/CD automation
- Build containerized ML services on Kubernetes with auto-scaling policies, resource quotas, and multi-tenancy isolation, optimizing infrastructure costs by $180K annually (25% reduction)
- Implement monitoring, alerting, and performance tracking using Prometheus, Grafana, and custom instrumentation, reducing model debugging time by 50% and establishing model performance SLOs
- Lead development of RAG-based document intelligence platform using LangChain, LangGraph, and vector databases, implementing agentic AI workflows for automated financial document processing
- Implement Infrastructure-as-Code using Terraform for reproducible environment provisioning and GitOps workflows, reducing infrastructure drift incidents by 80%
- Design role-based access control for ML platform, implement model lineage tracking, and establish audit trails for regulatory compliance aligned with enterprise IAM best practices
Sunish Bharathan
Last position:
AtlasMind - Production AI assistant for Jira at Mercedes Benz Innovation Labs Gmbh
- Converts natural language into JQL using RAG and pgvector. Returns structured JSON with a query, chart spec, and plain-text answer. A two-stage router answers general questions without touching the JQL pipeline at all.
- Interchangeable LLM backends: Ollama, vLLM, Groq, Anthropic Claude, AWS Bedrock - switchable at runtime, no code changes. Self-healing JQL: on Jira validation failure, feeds error back to LLM, retries up to 4 times. OCI Vault for secrets. Deployed on Oracle Cloud A1 with GPU inference over Tailscale private network. Open source.
Hamza Khan
Last position:
Academic Research Contributor in Health Sector (Volunteer)
- Acted as technical consultant to optimize multi-layer ensemble models combining ResNet, CNN-BiGRU-Attention, and XGBoost.
- Guided implementation of a Logistic Regression meta-learner to solve class imbalance problems, achieving 92.86% accuracy and 0.9644 AUC on PTB-XL and Chapman-Shaoxing datasets.
Daniel Martinez Maqueda
Last position:
Founding Database Engineer at tonbo.io
Working on the next iteration of tonbo to make it the most flexible in-process analytical database in the market that scales and is operated with strong availability
Introduced object scope cache to the remote storage layer to avoid I/O churn
Working on refactoring WAL to support remote storage
Taking care of the health of the systems as well as designing the operational story and bringing them to production
Technologies: LSM, WAL, Arrow, Parquet, Rust
Nino Sandmeier
Last position:
Freelancer in Data Science at International Companies
Proceeding what was started in 10/2023, offering data science development skills fulltime to international clients
Helping companies learn more about their existing (unstructured) data, optimize processes and technical systems, and derive solutions for their problems
Tools and technology used: Python (sklearn, pandas, numpy, Django, sqlAlchemy, pyTorch), Matlab, Docker, AWS EC2, Lambda, S3, SQL, MySQL, Hadoop & Spark, Machine Learning, DNN, AI, Jira, Confluence, Git, CI/CD, GitLab, Jenkins
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
Igor Kazarnovskiy
Last position:
Freelance Software Developer
Jeet Pattanaik
Last position:
Global SAP Program Manager at Aldi Sued
- Pioneered first enterprise AI-SAP integration at ALDI SÃœD, deploying AI-driven automation within one of retail's largest SAP S/4HANA programs, eliminating 50% of manual pre-cycle validation time and establishing replicable automation framework across 11 countries
- Led end-to-end SAP project lifecycle management for implementations across SAP S/4HANA and Manhattan Systems, supporting 7,300+ ALDI SÃœD locations globally across Europe and Australia
- Served as primary executive liaison to C-level stakeholders across 11 countries for strategic SAP transformation programs
- Orchestrated automation, performance, and volume testing for critical releases, maintaining 99.9% system SLA compliance during peak retail periods
- Managed cross-functional international teams of 15+ specialists, delivering projects 20% faster than industry benchmarks
- Standardized SAP processes across 11 countries as part of one of retail's largest SAP implementations
- Directly managed €2M budget with 98% allocation accuracy across 12 concurrent projects
- Reduced SAP S/4HANA migration costs by 18% through strategic vendor contract renegotiations and optimization
Jorge Pérez Suárez
Last position:
Software Engineer – AWS and Kubernetes Specialist at Citti
- Creation, maintenance and hardening of Kubernetes clusters employing Ansible and ArgoCD
- Keywords: Ansible, AWX, Kubernetes, NetApp, Prometheus, CI/CD ArgoCD, SSO, Fluent-bit, HAProxy, Calico, Keycloak, oauth2-proxy, SealedSecrets, kubeseal, Aqua kube-bench, CIS-Benchmarks, Aqua Trivy operator
Fady Kuzman
Last position:
Senior Software Developer / Tech Lead at Specific Objects Technologies GmbH
- Project 1: Multi-Tenant SaaS Platform: Data Integration & Pricing Management
- Objective: New development of ELT pipeline (replacement for Java 6 legacy), integration of heterogeneous source systems (CSV, Excel, Email, external DBs), event-sourcing for complete auditability, multi-tenant architecture for tenant-capable data processing
- Challenge: Processing millions of records daily, audit compliance, data isolation between different tenants
- Solution: Stakeholder workshops for requirements analysis, event-driven architecture with Axon Framework and Apache Kafka, AWS services (EC2, S3, Lambda, SQS, API Gateway) for cloud integration, PostgreSQL with tenant-specific schemas for multi-tenant data isolation, REST API design with Spring Boot for external system integrations, comprehensive testing strategy (JUnit, Spring Test, Postman, PACT, ArchUnit)
- Results: ELT performance improved from 30+ min to 1-5 min; 2-3 hours daily saved through workflow automation; 10-20 hours/week saved through event-sourcing auditability; 100% audit compliance; secure multi-tenant data isolation for 10+ tenants
- Project 2: Multi-tenant CRM System Modernization
- Objective: Migration of CRM system (20+ years PHP/MySQL) to Java microservices, Domain-Driven Design implementation, establishment of Test-Driven Development, multi-tenant-capable SaaS architecture for multiple customer tenants
- Challenge: Remodeling complex business logic, no existing test culture, scalable tenant management with data isolation
- Solution: Comprehensive testing strategy (JUnit, Spring Test, Postman, PACT, ArchUnit), multi-tenant architecture with tenant-specific databases, REST API design with Spring Boot for cross-tenant integration, Kubernetes and Docker for container orchestration
- Results: 2× performance improvement; deployment time reduced from 40+ min to 5-7 min; migration without production outages; scalable multi-tenant solution for 15+ customer tenants
- Technologies: Java, Spring Boot 3.x, Angular, Apache Kafka, AWS (EC2, S3, Lambda, SQS, API Gateway), PostgreSQL, Axon Framework, Kubernetes, Docker, GitLab CI, REST API
Sara Ali
Last position:
Research Associate and Data Scientist at National Center of Robotics and Automation - Condition Monitoring Lab
- Developed ASR and TSR-based speech processing pipelines on AWS, enabling efficient feature extraction and scalable deployment for speech and text analytics.
- Built a Multimodal Speech Emotion Recognition system combining NLP and deep learning (audio + text), achieving 98% accuracy and supporting real-time, cloud-based inference.
- Designed and optimized end-to-end model training and evaluation workflows using AWS services (S3, EC2, Lambda) to ensure performance, reliability, and reproducibility.
- Created and deployed interactive, user-friendly dashboards for data visualization and insight generation, supporting research teams and management in data-driven decision-making.
Peter Kortmann
Last position:
Hardware and Software Developer / Project Manager at Anonymer Kunde
- Development of control units for the automotive industry incl. embedded software
- CAN bus, Vector Tools, CANoe
- Support of the development process according to ISO 26262
- Ensuring cyber security standards:
- Key exchange (PKI) between vehicle and control units
- Hardware Security Module (HSM)
- Communication with external service providers (international)
- Development (PCB) of measuring adapters, statistical analysis of sensors
- IoT and embedded software development, backend administration
Gyan Prakash
Last position:
Senior DevOps and Cloud Architect at Bosch
- Architected and operated cloud-based data and ML platforms for autonomous driving and parking systems, supporting large-scale (multi PB scale) simulation and vehicle data ingestion.
- Implemented security, compliance, and governance standards across Azure subscriptions and cloud resources.
- Managed GitHub organizations and CI/CD pipelines to improve deployment reliability and developer productivity.
- Contributed to hiring and technical interviews as part of the recruitment panel.
Sandeep Girase
Last position:
Software Engineer at ACL Digital
- Developed high-performance APIs for SDK backend on JavaEE Web, iOS, and Android, improving application performance and scalability by 30%.
- Led system design, tech stack planning, and development, ensuring 98% uptime with strong code quality and automated tests.
- Implemented CI/CD pipelines with Jenkins and GitHub Actions, reducing release cycle time by 40%.
- Deployed cloud-native applications on AWS EC2 instances, ensuring 99% uptime and optimized performance.
- Delivered clean code with full unit, component, and integration test coverage, reducing defects by 25%.
- Collaborated across engineering, QA, and product teams to deliver secure, reliable solutions.
- Mentored team members, increased development efficiency by 20%, automated routine tasks, and contributed to hiring, growing team capacity by 15%.
Daniel Boesswetter
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 Federal Environment Agency 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
Discover over 15,000 top freelancers
Statistics of experts using Amazon EC2
Aggregated from the professional profiles of matched freelancers.
Experience
17 years (Germany: 16 years)
Position duration
2.1 years (Germany: 2 years)
Positions per freelancer
9 (Germany: 10)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Automotive, Professional Services
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
88% (Germany: 91%)
Master's degree or higher
50% (Germany: 57%)
Doctorate
12% (Germany: 9%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
English, German, Spanish
Speak two or more languages
97% (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 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 Amazon EC2
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
EC2 in practice
Amazon EC2 is the core AWS service for running servers in the cloud. Companies use it for web applications, APIs, batch jobs, internal tools, and workloads that need control over compute, storage, and networking.
What specialists deliver
- Instance selection and sizing for the workload
- Auto Scaling and load balancing setup
- AMIs, launch templates, and image baking
- Security groups, IAM roles, and key handling
- Monitoring, logging, and recovery workflows
Ecosystem around it
Strong EC2 professionals work across AWS services such as VPC, EBS, ELB, IAM, CloudWatch, and S3. They also understand Linux, Windows Server, scripting, infrastructure as code, and how EC2 fits into container and hybrid setups.
When to bring in help
Companies usually need freelance EC2 expertise when systems are moving to AWS, costs are unclear, or performance needs tuning. It also helps when teams need safer deployments, better network design, or support for legacy apps that cannot be rewritten quickly.
What strong experts know
Good specialists do more than start instances. They design for availability, backups, patching, access control, and clean handover. They can explain trade-offs between on-demand, reserved, and spot capacity, and they keep the setup understandable for the rest of the team.
Berlin delivery
In Berlin, EC2 work often sits close to SaaS, ecommerce, media, and startup teams that need flexible cloud capacity. Many projects run remotely, but on-site workshops can help when architecture, security, or migration plans need quick decisions across a local team.
Frequently asked questions
What clients ask us most about Amazon EC2 — answered in short.
Amazon EC2 is used to run virtual servers for applications that need direct control over the operating system, network, and storage. Teams use it for public websites, APIs, internal business systems, scheduled jobs, and test environments. It is a common choice when an application needs more flexibility than a managed service offers.
EC2 gives the most hands-on control because you manage the machine, the software stack, and the runtime behavior. Containers and serverless services reduce that operational work, but they also limit some customization. Many companies still choose EC2 for legacy workloads, special networking needs, or software that depends on a full server environment.
A strong Amazon EC2 specialist usually knows VPC networking, IAM, EBS, load balancing, CloudWatch, and Linux or Windows server administration. Infrastructure as code is also important, especially with CloudFormation, Terraform, or similar tools. For production work, backup strategy and incident response matter too.
Amazon EC2 help is worth bringing in when a team is migrating to AWS, tuning performance, reducing cloud waste, or fixing a fragile setup. It is also useful when internal experts are busy and the project needs quick, focused delivery. Freelancers can step in for architecture reviews, deployment work, or cleanup after a rushed migration.
Amazon EC2 projects vary a lot. A simple lift-and-shift or test environment may need only practical platform experience, while a large production estate needs someone who understands networking, security, and operating costs. The right level depends on how much downtime, compliance risk, and architectural change is involved.
Yes, most Amazon EC2 work can be done remotely from Berlin or anywhere else because the main tasks happen in AWS consoles, terminals, and code repositories. On-site time can still help for workshops, stakeholder alignment, or critical migration planning. Many teams mix remote delivery with a few focused in-person sessions.
Look for clear decisions, not just server setup. A strong EC2 professional explains why a certain instance family, network layout, backup plan, or scaling model fits the workload, and they leave behind readable infrastructure and operational notes. Good work should be easy to maintain after the project ends.
Amazon EC2 is still a good choice when the application needs control, custom software, or a stable server-based architecture. For simpler workloads, managed AWS services may be a better fit, but EC2 remains important for many production systems. A good specialist helps decide whether EC2 should be the main platform or just one part of the stack.
The average hourly rate of freelancers in Berlin, Germany who have used Amazon EC2 in their recent projects is 87 €, which corresponds to a daily rate of about 699 € based on an 8-hour working day.
Of the freelancers in Berlin, Germany who have used Amazon EC2 in their recent projects, 88% hold at least a Bachelor's degree, 50% hold at least a Master's degree, and 12% hold a doctorate.
On average, freelancers in Berlin, Germany who have used Amazon EC2 in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Berlin, Germany who have used Amazon EC2 in their recent projects are English (97%), German (94%), and Spanish (16%).
The most common industries among freelancers in Berlin, Germany who have used Amazon EC2 in their recent projects are Information Technology (94%), Automotive (45%), and Professional Services (35%).
The most common business areas among freelancers in Berlin, Germany who have used Amazon EC2 in their recent projects are Information Technology (97%), Product Development (90%), and Quality Assurance (52%).
Main locations of FRATCH Experts, who have recently used Amazon EC2
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.
Hamburg 
Munich 
Frankfurt 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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Philipp Thomaschewski
FRATCH CEO
