AWS Glue Experts in Frankfurt
, matched in minutes from over 15,000 CVsHire experts who design serverless ETL workflows, build data catalogs and connect Amazon S3, Athena, Redshift and Lake Formation. FRATCH matches you quickly with vetted, available freelancers whose AWS Glue skills fit your project.
Meet FRATCH Experts in Frankfurt, who have recently used AWS Glue
Monika T.
Last position:
Senior ETL Lead at Takeda GmbH
- Led design, development, and deployment of data solutions supporting a major pharma acquisition for Takeda Pharmaceutical Company, delivering transparency reporting systems across Azure,Databricks (Python and Shell Scripting) platforms.
- Owned,Designed and developed scalable ELT pipelines to process Customer and Product data using Azure, complex SQL, Databricks, and shell scripting, enabling efficient data integration and processing across multiple sources including job orchestration and workflow automation.
- Implemented performance optimization techniques (query tuning, parallelism, workload optimization), improving system efficiency and processing time.
- Applied strong analytical and problem-solving skills to assess technical solutions and support business requirements for compliance and transparency reporting.
- Designed scalable data foundations suitable for downstream analytics and AI workloads.
- Led data quality initiatives by assessing multiple source data, defining quality metrics, and establishing processes for monitoring and continuous improvement.
Ulm P.
Last position:
DataStage ETL Expert at ING Bank
- Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
- Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
- Storage of the silver layer on Hadoop and the gold layer in Oracle.
- Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
- Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
- Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
- Versioning changes in GitHub and deployment via the CI/CD portal.
- Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
- Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
- Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
- Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
- Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.
Ashkan Z.
Last position:
Microsoft Azure Senior Data Engineer / Senior Data Scientist at Vattenfall Europe
- Advising on the use of analytics and BI tools and services in the Microsoft Azure stack (e.g. MS Fabric, Synapse Workspaces and dedicated SQL pools, SQL Database, PostgreSQL, Snowflake, Databricks, Data Factory, SSIS, Analysis Services, Function Apps, Power BI, ML)
- Independently designing analytics solutions with Python, SQL, etc.
- Designing and implementing ETLs and data pipelines
- Creating and maintaining APIs
- Independently applying CI/CD, testing, and version control
- Data modeling
- Model development and optimization
- Anomaly detection with AI
- Predictive analytics
Used technologies:
- Snowflake
- Fabric
- Azure Synapse Analytics
- Azure DataFactory
- Azure Data Lake
- Azure DevOps
- Databricks
- Spark
- CI/CD
- SQL Database
- Python
- Power Platform
Anton R.
Last position:
AI-Engineer at Publicly traded company, industrial safety technology
- Designed and implemented the agent-based AI architecture for a company-wide platform to securely deploy LLM-based agents
- Designed and implemented end-to-end RAG pipelines from multiple sources: document preprocessing, chunking strategies for different document types, embeddings, retrieval with re-ranking, and robust prompt orchestration
- Developed a modular context engineering framework with skill architecture, context isolation, and dynamic resource management; human-in-the-loop control for enterprise tool integrations
- Built the CI/CD pipeline, testing strategy, tracing on the software side as well as automated LLM and agent evaluations, red team testing and tracing, and handed over to a reproducible production environment (ISO27001 and SOC2 compliant)
Roman K.
Last position:
Senior Data Engineer / Cloud Architect at DB Systel
- Development of a central billing app for cloud costs at DB
- AWS
- Python
- AWS CDK
- RDS
- Spark (PySpark)
- Glue
- Lambda
- CI/CD (GitLab)
- React/Typescript
- data optimization
- Scrum
Leonard H.
Last position:
Freelance Software Engineer & Cloud Architect at Leonard Hußke - IT Solutions
- Evaluation of potential providers (Snowflake vs Databricks) and design of the analytics data platform using Databricks
- Data storage and ingestion layer with Amazon S3
- Creation of ETL processes and data transformations with AWS Glue and Databricks Notebooks
- Orchestration with AWS Glue Workflow, Databricks Workflow and Databricks DLT
- Processing of unstructured data, including text, images and video
- Databricks workspace setup and administration
- Implementation of a medallion architecture to ensure data quality
- Evaluation of potential BI tools (Power BI, AWS Quicksight, Tableau)
- Establishment of MLOps using MLFlow
- Introduction of data governance and data lineage using Unity Catalog
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
2.7 years (Germany: 2.2 years)
Positions per freelancer
11 (Germany: 9)
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Healthcare, Transportation
Certification focus areas
Information Technology, Business Intelligence, Research and Development
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
40% (Germany: 65%)
Doctorate
20% (Germany: 19%)
Certifications per freelancer
4
Most common languages
German, English, French
Speak two or more languages
100% (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 Frankfurt 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 Frankfurt 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 (83%)
- Healthcare (50%)
- Transportation (50%)
- Professional Services (50%)
- Advertising (33%)
- Education (33%)
- Energy (33%)
- Manufacturing (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Serverless data integration
AWS Glue is a fully managed data integration service from Amazon Web Services. It discovers, prepares, moves and transforms data without requiring companies to manage ETL servers. Teams use it to create data lakes, analytics pipelines and governed datasets across AWS.
Pipelines and workloads
AWS Glue experts build workflows that ingest structured and semi-structured data, transform it with Apache Spark and publish trusted outputs for analysis. Typical delivery work includes:
- Batch and event-driven ETL pipelines
- Data lake ingestion into Amazon S3
- Curated tables for Amazon Athena and Amazon Redshift
- Incremental loads, job bookmarks and dependency handling
Catalog and governance
The AWS Glue Data Catalog stores technical metadata about tables, schemas and partitions. Specialists configure crawlers, classifiers and table definitions, then connect the catalog with Athena, Redshift Spectrum and Lake Formation. Strong governance also covers permissions, encryption, lineage and data quality controls.
AWS ecosystem and tooling
Practical work often includes Python or Scala, Apache Spark, SQL and AWS Identity and Access Management. Experts may also use AWS Step Functions, EventBridge, CloudWatch, Secrets Manager and Terraform or AWS CloudFormation. Knowledge of partitioning, schema evolution, Parquet and Apache Iceberg helps keep data platforms efficient and maintainable.
When to bring in expertise
Companies usually seek freelance AWS Glue specialists during a migration, data lake rollout or analytics modernization. Signs that support is needed include:
- Glue jobs fail, run slowly or produce inconsistent schemas
- Analysts cannot find or trust cataloged datasets
- Several AWS accounts need a consistent integration pattern
- A team needs a secure pipeline before an internal launch
In Frankfurt, remote collaboration often works well for AWS projects, while local workshops can help align data, security and business teams. German and English communication may both matter in international organizations.
What strong specialists deliver
The best professionals explain why a Glue architecture fits the workload instead of treating every pipeline as a Spark job. They test transformations, monitor costs and retries, document dependencies and design for recovery. Look for hands-on evidence with production data, IAM boundaries, operational alerts and clear handover documentation.
Frequently asked questions
Need clarity? These are the questions we hear most often about AWS Glue.
AWS Glue is used to discover, catalog, transform and move data between services and storage systems. Companies commonly use it for serverless ETL, data lakes on Amazon S3, analytics tables for Athena and warehouse loading into Amazon Redshift.
AWS Glue provides managed, serverless data integration with less infrastructure to operate. Amazon EMR offers broader control over Spark and other big-data frameworks, so it can suit workloads that need custom cluster settings or long-running processing.
A strong AWS Glue professional usually works with Python, SQL, Apache Spark and Amazon S3. Useful adjacent skills include Athena, Redshift, Lake Formation, IAM, CloudWatch, Step Functions and infrastructure as code with Terraform or CloudFormation.
The required depth depends on the scope. A simple catalog or batch job may need focused AWS Glue knowledge, while a production data lake requires experience with partitioning, schema changes, security, monitoring, retries and recovery.
AWS Glue can load and transform data for Amazon Redshift and connect with other warehouses through supported connectors and custom integrations. A specialist should assess data volume, refresh needs, network access and whether transformations belong in Glue or the warehouse.
Yes. AWS Glue projects are often managed remotely through cloud consoles, repositories, infrastructure-as-code workflows and shared documentation. For Frankfurt teams, occasional on-site planning can still help with security reviews, source-system access and stakeholder alignment.
Ask how the specialist would handle failed jobs, late data, schema evolution and access boundaries. A capable AWS Glue professional can show clear pipeline design, useful monitoring, controlled permissions, tested transformations and documentation that another team can operate.
AWS Glue supports streaming ETL for sources such as Amazon Kinesis and Apache Kafka, alongside its batch capabilities. The right design depends on latency, ordering, checkpointing, replay and the target format, so the specialist should define those requirements before choosing the workflow.
The average hourly rate of freelancers in Frankfurt, Germany who have used AWS Glue in their recent projects is 98 €, which corresponds to a daily rate of about 782 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used AWS Glue in their recent projects, 100% hold at least a Bachelor's degree, 40% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used AWS Glue in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.7 years.
The most common languages among freelancers in Frankfurt, Germany who have used AWS Glue in their recent projects are German (100%), English (100%), and French (17%).
The most common industries among freelancers in Frankfurt, Germany who have used AWS Glue in their recent projects are Information Technology (83%), Healthcare (50%), and Transportation (50%).
The most common business areas among freelancers in Frankfurt, Germany who have used AWS Glue in their recent projects are Information Technology (100%), Business Intelligence (83%), and Product Development (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.
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FRATCH CEO
