AWS Glue Experts in Frankfurt
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Meet FRATCH Experts in Frankfurt, who have recently used AWS Glue
Monika Thepale
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 Paunel
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 Zadeh
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
Leonard Hußke
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, image and video
- Databricks workspace setup and administration
- Setting up a medallion architecture to ensure data quality
- Evaluation of possible BI tools (Power BI, AWS QuickSight, Tableau)
- Establishing MLOps using MLflow
- Introducing data governance and data lineage using Unity Catalog
Roman Krivtsov
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
Anton Rösler
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)
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: 2.1 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: 93%)
Master's degree or higher
40% (Germany: 64%)
Doctorate
20% (Germany: 18%)
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 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Frankfurt 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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
ETL on AWS
AWS Glue is a managed data integration service for building ETL and ELT flows in the AWS ecosystem. Specialists use it to move data from S3, databases, and event sources into analytics stores, with less manual setup and less infrastructure work.
What it covers
- Batch and streaming data preparation
- Schema discovery and cataloging
- Job orchestration and scheduling
- Spark-based transformation logic
- Serverless data pipeline maintenance
It is used when raw data must be cleaned, joined, enriched, and delivered in a form that analysts and applications can use.
Core ecosystem
Strong professionals working with AWS Glue know the surrounding services well:
- AWS Glue Data Catalog
- Amazon S3
- Amazon Athena
- Amazon Redshift
- IAM and CloudWatch
They also understand how Glue fits with Lake Formation, Lambda, Step Functions, and Glue Crawlers in a larger AWS data stack.
When companies bring in help
Companies look for freelance AWS Glue specialists when pipelines break, schema changes arrive, or a migration needs a careful hand. Frankfurt teams often need support for regulated finance data, reporting layers, or cloud migrations where clean handover and remote collaboration both matter.
What strong specialists do
Good AWS Glue experts write reliable jobs, tune Spark performance, and handle partitioning, retries, and incremental loads. They document data flows clearly, test transformations, and keep metadata in sync so downstream tools do not fail on stale tables or broken schemas.
Signs you need one
- Your S3 data is growing and needs structure
- Crawlers or jobs fail after source changes
- Athena queries return messy or incomplete data
- You need a migration from scripts to managed pipelines
- Your team needs short-term AWS data expertise
A strong specialist also knows when Glue is the right fit and when another AWS service or a custom approach is cleaner.
Frequently asked questions
Need clarity? These are the questions we hear most often about AWS Glue.
AWS Glue is used to build data integration pipelines that collect, clean, transform, and load data across the AWS stack. Companies use it for analytics feeds, cataloging, reporting layers, and automated preparation of data stored in S3 or queried through Athena and Redshift.
AWS Glue uses Spark under the hood, but it adds managed infrastructure, crawlers, a data catalog, and simpler orchestration. Custom Spark jobs can give you more control, but Glue is often faster to operate when the main need is reliable ETL with less platform work.
AWS Glue is the broader service, while the Glue Data Catalog is one part of it. The catalog stores metadata about tables, partitions, and schemas, and many teams use it with Athena, Lake Formation, and other AWS services.
A strong AWS Glue specialist usually knows Spark, Python or Scala, IAM, S3, and data modeling basics. Experience with Athena, Redshift, CloudWatch, and partition design is also valuable because those pieces affect reliability and query performance.
AWS Glue help is useful early if you are starting a new pipeline, but it becomes essential when sources change often or jobs need tuning. The right specialist can also rescue an existing setup, so you do not need a full redesign before asking for support.
Yes, AWS Glue work is usually easy to do remotely because most tasks live in AWS, source control, and data documentation. Frankfurt teams often combine remote delivery with a short on-site start when access, stakeholders, or data governance need extra coordination.
A good AWS Glue expert explains pipeline design clearly, handles failures cleanly, and shows how they test schema changes and incremental loads. Look for proof of solid AWS service knowledge, not just job creation, because the hard part is keeping data flows stable over time.
Choose AWS Glue when you need managed ETL, a shared catalog, and repeatable data preparation across AWS services. If the task is simple file movement, a lighter service may be enough; if the workflow is highly custom, a specialist should help decide whether Glue is still the best fit.
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 780 € 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.
Berlin 
Munich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
