
Amazon S3 Experts in Austria
matched in minutes from over 15,000 CVsHire experts who design durable object storage, secure data lakes and automated backup workflows with Amazon S3, AWS IAM and event-driven integrations. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts in Austria, who have recently used Amazon S3
Daniel S.
Last position:
AI Automation in E-Commerce at Looops
- AI automation roadmap for a D2C/B2B e-commerce company.
- Customer service bot with RAG over support tickets and product data, OCR pipeline for incoming invoices with writeback to Business Central, lead gen and posting automation.
- Deterministic n8n workflows with EU-hosted models.
- n8n, RAG / Mistral, Qwen/BGE embeddings / Business Central API, HubSpot, Shopify / Scaleway, S3 / Claude Code, OpenCode.
Stefania D.
Last position:
Data Engineer at Storebox
Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI
Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine
- Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
- Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
- Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
- Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
- Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
- Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
- Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).
Marcel S.
Last position:
Senior AI Engineer - Python at Insurance Company
Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock
Achievements:
- Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
- Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
- Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
- Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.
Emre H.
Last position:
DevOps Engineer at SIWA Online GmbH
- Planning and implementation of IT infrastructures for clients
- Automating deployments with AWS CloudFormation and AWS CDK
- Monitoring and optimizing cloud environments and the entire IT infrastructure
- Providing technical support and troubleshooting infrastructure issues
- Collaborating with development teams on CI/CD processes
Joseph W.
Last position:
Freelancer Cloud / Solution Architect (AWS) at A1 Bank
- I am responsible for providing solution architecture and technical assistance for a migration initiative aimed at transitioning to a new core banking system.
- The project involves replacing in-house development with a commercially available off-the-shelf core banking system operated as SaaS on AWS.
- Duties encompass solution design, technical coordination, supporting development teams, and providing IT support and troubleshooting.
- Managing over 10 global vendors and partners is crucial to project success.
- Technologies: VMWare ESXi, AWS, EKS Kubernetes, Mastercard Payment Transaction Service, Avaloq, A1 Telekom Austria infrastructure, CheckPoint FW, F5, Site-to-Site VPNs, PingID, Futurae SDK, Airlock, UC4/Automic, Firebase, iOS/Android lifecycle management, AWS IAM, AWS AppStream, AWS S3, AWS Transfer Family, QlikView, OpenAPI.
Tobias F.
Last position:
CTO & Founder at bitminds
Selected projects:
Kiosk platform – hospitality
- Led a 3-person team while hands-on architecting an edge computing infrastructure for over 15 self-service kiosks in Alpine hotels with unstable connectivity
- Designed a Nomad-based cluster with a WireGuard mesh network for fully automated OTA updates, even during local network outages and offline operation
- Integrated physical peripherals (hotel key card readers, thermal printers) into a containerized deployment pipeline
- Reduced on-site maintenance visits by ~40% through a resilient offline-first architecture and Prometheus-based hardware monitoring
- Tech: Nomad, Consul, WireGuard, NestJS, NextJS, Prometheus, Custom Hardware Provisioning
Multi-tenant SaaS platform – insurance claims processing
- Built and operated the Kubernetes infrastructure for a market-leading claims processing platform (acquired by an S&P 500 company) – with strict compliance and availability requirements
- Designed a multi-tenant EKS cluster with tenant isolation, enabling cost-effective single-instance hosting for multiple customers
- Implemented dynamic spot instance node pools, reducing infrastructure costs by ~20%
- Set up fully automated deployment pipelines (Terraform + GitHub Actions) for uninterrupted releases during business hours
- Tech: EKS, Terraform, GitHub Actions, Prometheus/Grafana/Loki, PHP, GraphQL
Legacy ERP integration – construction photo documentation
- Led a 2-person team in designing and implementing a real-time sync bridge between a legacy Microsoft Access ERP (without an API) and a modern mobile photo app for quality control on construction sites
- Developed a PostgreSQL pipeline with real-time listeners that extract data from 1990s Access databases – without disrupting existing workflows
- Built a resilient upload architecture with a circuit breaker pattern for unstable site connections (S3, NFS, Synology NAS)
- Saved each project manager 2–4 hours per week through automated photo sync instead of manual USB/SD card transfers
- Tech: NestJS, PostgreSQL, React Native (Expo), S3, Synology API, offline-first architecture
Maximilian G.
Last position:
Solo Developer / Founder at InvAPI
- Privacy-first, stateless e-invoice API providing AI-powered extraction, bidirectional format conversion (UBL/CII/ZUGFeRD), batch processing, and validation for German/Austrian e-invoice compliance
- Technologies: Nuxt 4, Vue 3, Nitro, TypeScript, Cloudflare (D1, R2), Stripe, OAuth, AI/LLM integration
David L.
Last position:
Senior Full Stack Engineer at Fractual
- Built and maintained a full-featured React Native mobile app and companion web portal supporting multi-role access and real-time collaboration for service teams.
- Developed a robust NestJS backend using TypeScript, adhering to scalable microservices patterns to support a dynamic task management system.
- Designed and optimized PostgreSQL schemas, using advanced indexing and normalized data models to support patient tracking, tasks, and outcome reporting.
- Integrated Socket.IO to support real-time team communication, task status updates, and instant notifications across mobile and web platforms.
- Developed secure authentication workflows using AWS Cognito, including multi-role login, token refresh, and session timeout handling.
- Leveraged AWS S3 for secure document uploads (patient records, resource materials) with signed URLs and access control policies.
- Connected AWS SNS and SES to automate notifications for escalations, missed follow-ups, and appointment reminders.
- Engineered an admin analytics dashboard using React + Zustand for tracking user activity, case completion rates, and compliance metrics.
- Designed and implemented AI-driven features for task prioritization and patient risk classification using external API integrations.
- Established a robust CI/CD pipeline using GitHub Actions and Docker, achieving automated testing, linting, and environment-based deployments.
- Followed Agile ceremonies (daily standups, sprint planning, retros) while collaborating with QA, BAs, and PMs to deliver high-velocity features.
- Led data protection efforts ensuring full GDPR compliance, including encrypted storage, session control, and user-consent management.
- Delivered a fully responsive UI using DaisyUI-style components for mobile and tablet-first designs, achieving high Lighthouse scores.
- Reduced support tickets by 40% by implementing detailed audit logging and a self-service helpdesk system in the admin interface.
Martin H.
Last position:
Software Development & IT-Consulting at Self-Employed
Tech stack: Flutter/Dart, Unity3D, React, NextJS, JavaScript, TypeScript, HTML, CSS, SASS, SCSS, Tailwind, Bootstrap, Ollama, llama.cpp, LangChain, MCP, RAG, n8n, Node-Red, PlatformIO, Arduino, ESP, C, C++, Python/Django, NodeJS, C#, .NET, PostgreSQL, MySQL, MS-SQL, MongoDB, AWS, Azure, GCP, GitHub Actions, GitLab CI, Azure Pipelines, Ansible, Terraform, Docker, Postman, REST, WebSocket, Figma, Penpot, Adobe Illustrator, Adobe InDesign, VS Code, Android Studio, Visual Studio, Unity3D, Jira, Confluence, Traefik, Rclone, Authentik, pfSense, Cloudflare, Proxmox, MQTT
Previous projects:
n8n automation that reads incoming emails from an Office mailbox and routes them to stakeholders
FastMCP 2 server exposing internal services via REST API to an LLM
Terraform migration of cloud infrastructure with Azure VMs, network, blob, storage and cloud-init
Azure Pipelines for automated testing, deployment, and artifact management
Terraform, Ansible, Cloudflare Tunnel integration with Docker container provisioning and backups
GitHub Actions CI/CD for Flutter app builds, testing, automated screenshots, and App Store deployment
Flutter app with SSO, local database, backend integration, BLE synchronization
GCP setup with Cloud DNS, App Engine, Cloud SQL
AWS environment with EC2, S3, Route 53, ECS
Workshops delivered on Docker, Git, Terraform, Ansible, Cloudflare, DevOps, modern software development practices
Backend development with Python Django REST Framework, PostgreSQL, MQTT
SSO identity provider with OIDC, OAuth, LDAP, Cloudflare Tunnels, Authentik
Roland M.
Last position:
Oracle DBA (Remote) at Werkstoff-Kunstoffindustrie, Germany
- Supported migration of Oracle databases to AWS
- Performed performance tuning both on-premises and in AWS
- Advised on sizing of new databases
- Analyzed Oracle edition switch scenarios
- Designed backup and restore concepts for AWS Oracle RDS
- Configured RDS instances using CloudFormation CLI
- Implemented load balancer and HAProxy solutions
- Migrated data on-premises to AWS S3 using Oracle Data Pump
- Utilized Oracle 19c, Visual Code, Git, and SQL Developer
Lulzim B.
Last position:
Centralized monitoring
- Setup and maintain Prometheus and Grafana via Docker for more than 2.000 services.
- Setup CI/CD with Ansible to provision and maintain Prometheus and Grafana.
- Metrics visualization and segregation in multiple dynamic dashboards.
- Setup of real time alerting for critical services.
Arnim S.
Last position:
Co-Founder & Managing Director at Offer-Ready GmbH
- Sales & Investor Relations
- Contact Workflow and Document Automation
- XML, Content Transformation
Discover over 15,000 top freelancers
Statistics of experts using Amazon S3
Aggregated from the professional profiles of matched freelancers.
Experience
15 years

Position duration
3.2 years

Positions per freelancer
12

Top business areas
Information Technology, Operations, Product Development

Top industries
Information Technology, Banking and Finance, Insurance

Certification focus areas
Information Technology, Project Management, Customer Service
Bachelor's degree or higher
67%
Master's degree or higher
44%

Certifications per freelancer
2

Most common languages
German, English, French

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 Austria 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 Austria using Amazon S3
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.
Amazon S3 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 (83%)
- Banking and Finance (58%)
- Insurance (50%)
- Transportation (42%)
- Automotive (33%)
- Media and Entertainment (33%)
- Professional Services (33%)
- Telecommunication (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Object storage
Amazon S3 is AWS object storage for files, datasets, backups, application assets and archives. It stores data as objects in buckets and exposes them through APIs, the AWS console, command-line tools and SDKs. Its durability, access controls and lifecycle features support both everyday applications and large data estates.
Core capabilities
Strong Amazon S3 specialists design bucket structures, object keys and storage classes around access patterns and retention needs. They configure versioning, encryption, replication, lifecycle rules and access logging while keeping permissions clear. They also connect S3 to applications through REST APIs, presigned URLs, event notifications and AWS SDKs.
Ecosystem and tooling
S3 rarely works alone. Professionals commonly combine it with IAM, AWS KMS, CloudFront, Lambda, EventBridge, Glue, Athena, Lake Formation and CloudTrail. Infrastructure as code with Terraform or AWS CloudFormation makes bucket policies and environments repeatable. CI/CD pipelines, monitoring and cost controls complete a maintainable setup.
Common delivery work
- Migrate file shares, archives or backup repositories to S3
- Create secure media, document and static-asset storage for applications
- Build data lakes for analytics, reporting and machine learning
- Automate retention, tiering, replication and disaster recovery
- Expose controlled uploads and downloads through presigned URLs
When to bring in expertise
Companies usually seek freelance support when an S3 estate is growing, a migration needs a safe plan or permissions have become difficult to review. Specialists can assess public access risks, redesign bucket policies, reduce unnecessary transfers and document operational ownership. In Austria, they may collaborate remotely with distributed teams or join on-site workshops when architecture and compliance discussions require it.
What quality looks like
A capable professional starts with data classification, threat modelling and recovery objectives rather than creating buckets immediately. They separate identities, workloads and environments, apply least-privilege access and test restore paths. Good delivery includes clear diagrams, infrastructure definitions, logging, alerts and practical handover documentation. Familiarity with Austrian business language can also help when stakeholders need local workshops, while S3 itself remains an English-language AWS service.
Frequently asked questions
Need clarity? These are the questions we hear most often about Amazon S3.
Amazon S3 is used to store and retrieve objects such as documents, images, video, logs, backups and analytical datasets. Companies also use it for static website assets, data lakes, software artifacts and long-term archives.
Amazon S3 is object storage rather than a conventional shared file system. It scales without managing file servers and offers lifecycle, replication and access-policy controls, while file storage may be a better fit for applications that require mounted folders, locking or low-latency file operations.
A strong Amazon S3 professional usually understands IAM, KMS encryption, CloudFront, Lambda, CloudTrail and infrastructure as code. Data-focused work may also require Glue, Athena, Lake Formation and event-driven AWS services.
The right level depends on the risk and scope of the work. A straightforward upload workflow may need focused S3 knowledge, while a migration, data lake or disaster-recovery design calls for experience with permissions, encryption, networking, automation and restore testing.
Amazon S3 projects are often suitable for remote collaboration because configuration, code and documentation can be reviewed online. On-site sessions in Austria can still help with data discovery, stakeholder workshops or handover, especially when several teams own connected systems.
Ask the Amazon S3 specialist to explain how they would classify data, restrict access, handle encryption and test recovery. Review the clarity of their bucket policies, infrastructure definitions, monitoring plan and documentation, not only whether objects can be uploaded successfully.
S3 is commonly weighed against Azure Blob Storage, Google Cloud Storage and self-managed object stores such as MinIO. The decision depends on the existing cloud environment, integration needs, data residency expectations, operational capacity and required storage features.
Freelancers working with Amazon S3 should clarify ownership, account structure, data sensitivity, retention rules and deployment workflows before changing storage. They should also confirm whether the client needs application integration, migration, analytics, backup or security remediation, since each path demands different AWS knowledge.
The average hourly rate of freelancers in Austria who have used Amazon S3 in their recent projects is 96 €, which corresponds to a daily rate of about 766 € based on an 8-hour working day.
Of the freelancers in Austria who have used Amazon S3 in their recent projects, 67% hold at least a Bachelor's degree and 44% hold at least a Master's degree.
On average, freelancers in Austria who have used Amazon S3 in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 3.2 years.
The most common languages among freelancers in Austria who have used Amazon S3 in their recent projects are German (100%), English (100%), and French (25%).
The most common industries among freelancers in Austria who have used Amazon S3 in their recent projects are Information Technology (83%), Banking and Finance (58%), and Insurance (50%).
The most common business areas among freelancers in Austria who have used Amazon S3 in their recent projects are Information Technology (100%), Operations (67%), and Product Development (67%).
Main locations of FRATCH Experts, who have recently used Amazon S3
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.
Countries:
- Germany
- Austria
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