AWS Glue Experts in Munich
for reliable data pipelines, matched in minutes with vetted specialistsHire experts who design serverless ETL workflows, build data catalogs and connect analytics systems across AWS. Get precise access to vetted, available freelancers who match your AWS Glue requirements quickly.
Meet FRATCH Experts in Munich, who have recently used AWS Glue
Florian B.
Last position:
Project Management / PMO Consultant
PMO & Project Organization Blueprint for Restructuring
Renewable Energy / Solar Equipment
Technologies / Methods: PMO setup, KPI tracking, project organization, Jira, Confluence
- Developed measures to improve management control during a restruct...
Vitaliy R.
Last position:
DevOps GitOps (temp) at Signal Iduna
- Responsible for Openshift/Kubernetes on-prem administration and developer support.
- Developed URP infrastructure automation with Python, Ansible, Kustomize and ArgoCD, Argo Workflow/Events stack.
- Wrote smoke and load tests for URP infrastructure utilizing Python, Kustomize and ApplicationSets.
- Helped to set up and deploy URP infrastructure in Google Cloud, GKE.
- Set up monitoring for URP and ArgoCD stack with Splunk Cloud.
- Performed system administration tasks across RedHat Linux, Kubernetes/Openshift, ArgoCD, GitLab, Bitbucket Enterprise, Kafka and MongoDB.
Hardeep B.
Last position:
Sr. Data Engineer at Charles Schwab Bank
- Designed and implemented end-to-end data pipelines (batch & streaming) using Python, SQL, and Apache Spark, Databricks on AWS reducing ETL latency by 40%.
- Developed serverless event-driven ingestion pipelines using AWS Lambda and SQS, ensuring real-time data availability for downstream analytics.
- Leveraged Google Cloud Platform (GCP) services including BigQuery and Dataflow to manage cross-cloud data warehousing and analytics integration.
- Expertise in DMS (CDC, Full Load) and Airflow for scalable data pipeline automation and orchestration.
- Managed and customized data pipelines using Databricks, Airflow. Automation using Docker, Kubernetes, Terraform.
- Automated data quality checks using dbt to modularize transformations and ensure production-grade data lineage, improving reliability by 30%.
- Collaborated with compliance teams to ensure GDPR and SOC2 alignment. Mentored junior engineers and contributed to architecture refactoring for scalability.
- Created and maintained dashboards in Power BI to provide actionable insights.
Alexandre S.
Last position:
Cloud Engineer at Dectris AG
- Build a scalable multi-region backend service in AWS to serve remote desktop virtual machines for scientific analysis
- Stack: AWS, GitHub, Terraform, Python, Rust
- Built and defined the core infrastructure of the backend system
- Defined and coded the virtual machines provisioning supporting Ubuntu and Rocky Linux desktop setups
- Programmed the API service running in ECS to manage virtual machines and build custom Docker images for users
Jiri S.
Last position:
Quality Manager/Test Management at Noriba GmbH
- Test concept creation
- Creation of test processes
- Coordination of TC development: stress tests, functional tests, performance tests, high data rate tests, integration tests, etc.
- HW testing: FPGA, RF
- Test automation and regression tests
- Ensuring 24/7 operation of the test system
- Analysis & reporting
- Regular coordination of the test team, meetings with other stakeholders
- Communication and coordination with stakeholders and the project manager
Stephan S.
Last position:
Senior Data/ML Consultant & Technical Lead at Jolin.io
Role: Software Engineer & Applied Mathematician (Mathematical optimization for scheduling; duration: 1 months; team setting: Team of 2, remote; technologies: JuMP, Julia, Pluto, Svelte, JavaScript, TypeScript, JetBrains Space, Terraform, Nomad)
Role: Software & Cloud & Web Engineer (Building scalable data science compute cluster from scratch; duration: 11 months; team setting: Team of 1, on-site; technologies: Terraform, Kubernetes, k8s ingress, k8s services, k8s RBAC, k8s networking, k3s, etcd, S3, DNS, certificates, Julia, Pluto, JavaScript, Tailwind, Astro, npm, Parcel, Preact, MUI, JWT, AWS SQS, AWS RDS, Python, GitLab, GitHub)
Role: AI & Web Engineer (Custom ChatGPT service; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Poetry, LangChain, Tailwind, ChatGPT API, Flask, FastAPI)
Role: Architect & Data Engineer (Central datalake setup and ingestion; duration: 9 months; team setting: Team of 5, remote; technologies: Infrastructure-as-code, AWS CDK, Python, Boto3, PySpark, AWS Glue, IAM, S3, ECS, Fargate, Lambda, Apache Hudi, DeltaLake, Databricks, GitHub, Jira, Miro)
Role: Software Engineer (PoC Julia migration of scikit-decide; duration: 1 months; team setting: Team of 2, remote; technologies: Python, Julia, GitHub)
Maziyar K.
Last position:
Data Engineer at MSD Germany
- Lead Architect to design and implement the data lake and ETL Pipeline using AWS Stack
- Performance Optimization of Data Ingestion of ETL Pipeline
- Development of Data Validation using Great Expectations
- Leading of the data migration for two sources exchanges
- Data Modeling in AWS Redshift
MLOps
- Model inference implementation by mlflow and AWS SageMaker
- Feature Engineering for the running ML Models ( Recommender Engineer, Clustering )
- Implementatino of Model Registry and artifactory using mlflow
- Historization an Profiling of the Input Data Using AWS Glue Crawler and AWS Data Catalog
- Feature importance using mlflow
Tech. Stack: Python 3, AWS Glue, AWS Step Fucntion, AWS Lambda, AWS EventBridge, AWS IAM Role, AWS SageMaker, AWS EC2, AWS Glue Crawler, AWS CloudWatch, MLFlow, ETL, Data lake, GitHub Action, Terraform, Jenkins, Ansible playbooks (Infrastructure as Code), CI/CD, GitLab, SQL, PySparkSCRUM, Agile, Jira, BigData, VSCode, DBeaver, MSSQL, MySQL, grafana, Docker, Linux, Bash, MapReduce, Data Modeling (ORM), Pandas, YAML, SQL-Alchemy
Thorsten G.
Last position:
Head of Real Estate Products | Technical Program Lead
- Program lead for a multi-year strategic partnership (~€9M device volume), reporting to the CTO (later CEO) and acting as primary executive interface to partner leadership.
- Owned cross-system delivery across firmware, hardware, cloud backend, manufacturing and partner engineering teams for two IoT products; improved system stability and observability to support reliable large-scale field operations (125k+ devices).
- Negotiated program roadmap and scope with partner leadership, aligning delivery commitments across hardware, firmware and cloud.
- Stabilized a strained executive partnership by restoring delivery reliability and establishing clear governance and scope boundaries.
- Delivered telemetry analysis system (Python, AWS) required by partner contract to detect malfunctioning heating systems and operational issues across deployed devices.
Max R.
Last position:
Senior AI Engineer and Technical Advisor (Freelancer) at dialpad
Serving as AI technical advisor to Dialpad's Telephony Engineering division while building AI products hands-on. Currently developing MCP-based tooling for AI text and voice agents: agent authoring, integrations and adoption of existing agents, shared authentication and API contracts, and durable workflow state. This includes text and voice tests that evaluate agent behavior, latency and task completion.
In parallel, helping Dialpad's engineers adopt QualityLayer and use Claude Code and Codex effectively. This ongoing work covers context management for large codebases, reusable plan-implement-test-review workflows connected to CI/CD, playbooks, hands-on workshops, labs and pair programming.
Technologies: AI Agent Products (Text & Voice Agents, MCP, LLMs, Python, TypeScript), Agent Tooling (Authoring, Integrations, OAuth, Durable State), Quality & Evaluation (Text & Voice Tests, Evals, Regression, Traces), Agentic Engineering (Claude Code, Codex, QualityLayer, Hooks, Prompts), Context Engineering (RAG, Vector Stores, Codebase Embeddings), Software Delivery (CI/CD Integration, Agentic Loops, PR Automation), Enablement & Coaching (Workshops, Hands-On Labs, Pair Programming)
Discover over 15,000 top freelancers
Statistics of experts using AWS Glue
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 15 years)
Position duration
3 years (Germany: 2.2 years)
Positions per freelancer
10 (Germany: 9)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Telecommunication
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
89% (Germany: 95%)
Master's degree or higher
67% (Germany: 65%)
Doctorate
11% (Germany: 19%)
Certifications per freelancer
4
Most common languages
English, German, Spanish
Speak two or more languages
89% (Germany: 94%)
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 Munich 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.
Average rates of experts in Munich using AWS Glue
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.
AWS Glue 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 (67%)
- Telecommunication (67%)
- Retail (56%)
- Automotive (44%)
- Professional Services (44%)
- Education (33%)
- Energy (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What AWS Glue does
AWS Glue is a serverless data integration service for discovering, preparing, transforming and moving data. It connects sources such as Amazon S3, Amazon Redshift, relational databases and streaming systems so teams can create dependable datasets for analytics, reporting and machine learning. Its managed infrastructure reduces the need to operate separate ETL servers.
Core building blocks
The service combines crawlers, the AWS Glue Data Catalog, jobs, triggers, workflows and connections. Jobs commonly use Apache Spark with Python or Scala, while Glue Studio provides a visual interface for selected transformations. Strong specialists also work with IAM, Lake Formation, CloudWatch, AWS Step Functions and infrastructure as code to make pipelines secure and repeatable.
Typical deliverables
- Discover schemas and maintain a governed Data Catalog
- Build batch ETL jobs for S3-based data lakes
- Convert, cleanse and partition files with PySpark
- Load curated datasets into warehouses and analytics services
- Monitor workflows, retries, logs and data quality checks
When companies need specialists
Freelance expertise is useful when a data lake has grown without consistent schemas, when legacy ETL processes need migration, or when analysts cannot trust the datasets they receive. Companies also bring in AWS Glue professionals for new lakehouse foundations, pipeline performance work and short-term delivery capacity. In Munich, collaboration may involve local teams in finance, manufacturing, insurance or mobility, with remote delivery often fitting well when access and communication are planned clearly.
Skills beyond the service
A capable specialist understands data modeling, SQL, Python, Apache Spark and distributed processing rather than treating Glue as a set of isolated screens. They can design partitioning strategies, handle schema evolution, tune job execution and choose between Glue workflows, Step Functions and other orchestration options. Knowledge of S3, Redshift, Athena, Lake Formation, IAM and CI/CD helps connect the pipeline to a production environment.
Signs of strong delivery
Look for professionals who explain data contracts, failure handling, lineage and access controls in concrete terms. They should be able to show how they test transformations, separate development from production and monitor freshness as well as job success. Good delivery includes readable code, reusable components, controlled permissions and documentation that lets an internal team operate the pipeline after handover.
Frequently asked questions
Questions about AWS Glue? Start with the answers below.
AWS Glue is used to discover, catalog, transform and move data between cloud and enterprise systems. Companies commonly use it for S3 data lakes, warehouse loading, analytics preparation and machine learning datasets.
AWS Glue is a managed AWS data integration service that includes crawlers, transformations and a Data Catalog. Apache Airflow focuses on orchestration, so many teams use it to coordinate Glue jobs when they need broader scheduling and dependency control.
A strong AWS Glue specialist usually brings Python, SQL, Apache Spark and data modeling skills. Experience with S3, Athena, Redshift, IAM, Lake Formation, CloudWatch and infrastructure as code is also valuable for production delivery.
The right level depends on the work. A simple catalog or transformation may need focused AWS Glue experience, while a governed data lake requires deeper knowledge of Spark performance, security, schema evolution and operational support.
AWS Glue is well suited to remote collaboration because its jobs, catalogs and monitoring are managed in AWS. Teams in Munich should still agree on access procedures, documentation, meeting times and whether German-language communication is needed for workshops or stakeholder work.
AWS Glue is a stronger fit when ingestion, schema discovery and Spark-based processing are central requirements. dbt is often preferred for SQL-focused transformations inside a warehouse, although both can form part of the same data platform.
Ask how the specialist handles partitioning, retries, schema changes, permissions and data quality. A strong AWS Glue professional can explain trade-offs clearly, provide maintainable PySpark or SQL, and demonstrate monitoring rather than focusing only on successful job runs.
Freelancers working with AWS Glue should clarify data volumes, source systems, AWS account structure, deployment practices and ownership of the Data Catalog. They should also confirm whether the assignment covers discovery, pipeline delivery, production support or knowledge transfer.
The average hourly rate of freelancers in Munich, Germany who have used AWS Glue in their recent projects is 112 €, which corresponds to a daily rate of about 899 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used AWS Glue in their recent projects, 89% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 11% hold a doctorate.
On average, freelancers in Munich, Germany who have used AWS Glue in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers in Munich, Germany who have used AWS Glue in their recent projects are English (100%), German (89%), and Spanish (33%).
The most common industries among freelancers in Munich, Germany who have used AWS Glue in their recent projects are Information Technology (100%), Banking and Finance (67%), and Telecommunication (67%).
The most common business areas among freelancers in Munich, Germany who have used AWS Glue in their recent projects are Information Technology (100%), Product Development (89%), and Business Intelligence (67%).
Main locations of FRATCH Experts, who have recently used AWS Glue
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 
Frankfurt Request a free demo
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Philipp Thomaschewski
FRATCH CEO
