
ETL Expert in Frankfurt
to connect data sources with vetted, available freelancers matched in minutesHire experts who design reliable data pipelines, integrate platforms with Informatica, Talend or SSIS, and prepare analytics-ready datasets. FRATCH matches you quickly and precisely with vetted, available freelancers for your ETL project.
Meet FRATCH Experts in Frankfurt, who have recently used ETL
Ornel Franck W.
Last position:
Sales Partner at ERGO PRO
- Industry: Insurance, Trade, IT
- Customers & Projects: Consulting and selling insurance and similar services
- Main tasks: Insurance consulting (health insurance, retirement planning, wealth building); commercial services, inside and field sales; sales data analysis and forecasting; customer consulting and support; opening a new sales headquarters for private and business customers; business development & innovation management; business use case development; process optimization; stakeholder management; team leadership and training; preparation and delivery of trainings;
- Technologies used: Microsoft Office 365, Microsoft Teams, Jira, Draw.IO, Camunda 8, Java (8, 17,21,25), Git, Spring Boot, Spring Batch, Spring Data REST, Spring Web, Spring Security, J-Unit, Playwright, Lombock, Vaadin, H2, PostgreSQL (16, 17 18), pgAdmin, Docker, LLMs, JasperSoft Studio, JasperReports
Ali A.
Last position:
Founder & Architect at Independent AI R&D
- Fully on-premises LLM document-examination platform for a compliance-critical banking domain: agentic LangGraph pipeline with deterministic verification, every AI judgment structured and source-anchored; ~960 automated tests, zero data egress
- GPU throughput engineering (quantized serving, speculative decoding, prefix caching): 9.5x extraction speed-up, 500+ multi-document case files per day on a single A100
- AI-native EDI/EDIFACT integration platform (~116k LOC Java 25 / Spring Boot 4, 1,900+ tests): LLM-drafted partner mappings machine-verified before go-live (DFDL conformance, field-coverage checks, dry runs), ~99.5% byte match on real customer files — replacing weeks of manual mapping per partner
Justina K.
Last position:
Freelance Consultant for Change & Data Transformation at Freelance Fast Data Consulting
Project, Strategic Consulting – building the Data Strategy and Data Governance Policy for the German branch, client (private bank Julius Bär, headquarters Zurich), March 2026 – present
- Design and negotiation of the data strategy with key stakeholders, including obtaining board sign-off (strategic consulting) – in this context, regulatory advice on data regulations in the EU and specifically for Germany. The data strategy includes: Data Lifecycle Management: data capture, data storage, data usage, data retention policy, data quality incident management
- Definition of milestones and technical feasibility for implementing TOM for the data strategy, data quality checks, metrics, and a metadata inventory to ensure the bank’s compliance with DORA, BCBS239, and MaRisk requirements.
Core project data change, client: (ING Bank, Frankfurt am Main), March – December 2025
- Concept development and solution design for new end-to-end processes including technical interfaces
- Definition of synchronization logic and data flows between legacy and target systems (decommissioning of legacy systems)
- Analysis and validation of data models
- Stakeholder communication with product owners, feature engineers, UX designers, and operational teams for decision-making
- Analytics and impact assessments, e.g. to assess downstream effects and regulatory requirements
- Documentation and comments on technical and business requirements to support implementation in agile squads
Project digitalization of a user group, client: (ING Bank, Frankfurt am Main), as Interim Product Owner, Jan 2025 – present
- Co-shaping key decisions on data architecture and process logic in the context of historized data and user login functionality
- Development of business solution concepts for migration to the target system, including system integration and data flows
- Support with analytics and impact analyses, especially regarding the ability to provide information to law enforcement authorities
- Active coordination with stakeholders from different squads to support decision-making and ensure regulatory requirements are met
- Creation of test scenarios for operational teams and backend systems in the area of API management using Postman and Bruno.
Torsten F.
Last position:
Data Analyst, Requirements Manager at Isabellenhütte Heusler GmbH
Analysis of the existing reporting platform including processes and governance topics with stakeholders from sales and marketing.
Detailed analysis and evaluation of client-defined requirements for existing reporting and new dashboards.
Supporting stakeholders in managing sales processes and early detection of KPI trends.
Use of Microsoft Power BI as central analysis and reporting platform.
Developing a proposal for the necessary evolution of processes and the Power BI platform.
Gathering current business processes and defining company-wide KPIs in coordination with stakeholders.
Analysis and inventory of the client's Power BI platform.
Analysis of processes and data governance.
Recording and documenting current business processes.
Developing recommendations for process and reporting platform improvements.
Designing and implementing dashboards in Power BI.
Defining company-wide KPIs and aligning them with stakeholders.
Microsoft Power BI.
Data analytics.
KPI definition and reporting.
Dashboard design and data visualization.
Stakeholder management and requirements management.
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.
Benedikt R.
Last position:
Power BI developer at Mechanical Engineering (SME 500 emp.)
- KPI dashboards for inventory and goods received quality control & testing ETL, dataset, dataflows and report development, complex DAX solutions
Data sources: Dataverse, RDB, Excel
Tools: ETL, data modeling, data flows, Power Query, M, Power BI, complex DAX
- Capacity: 25%
Umut G.
Last position:
Data Architect at BA Technology
I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.
I delivered following projects and engagements as a freelancer.
- Data Migration of CRM System for AL-FA Objekt Service Gmbh
- Microsoft Software Resales Partnership
I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer
Technical Focus Areas
- Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
- DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
- Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
- MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
- Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Jana C.
Last position:
Freelance Business Intelligence Consultant at Superprof Germany & Upwork
- Design an interactive Tableau dashboard to analyze historical aviation accidents using data from the Federal Bureau of Aircraft Accident Investigation
- Develop visualizations to provide actionable insights to improve aviation safety measures employing data modeling and transformation techniques
- Develop a Power BI dashboard to monitor sales KPIs and product performance integrating data from multiple sources
- Design a star schema data model and implement advanced DAX measures for high-performance and dynamic reporting
- Design a comprehensive BI architecture solution focusing on ETL pipelines, data integration, and data governance
- Recommend Power BI as the central tool and create a security-compliant implementation roadmap
Basil S.
Last position:
Senior Developer / Data Engineer at Large energy-sector company
- Co-founded the Real-Time Data team, which grew to 10 members over time.
- Developed and delivered core data products.
- Optimized real-time application performance and implemented monitoring, alerting and logging solutions to ensure system stability.
- Created and maintained deployment pipelines.
- Collaborated with teammates, architects and experts in an agile Scrum environment.
- Operated applications, analyzed, tested and troubleshot software solutions.
Eric B.
Last position:
Quality Assurance Lead (QSV) at Federal Employment Agency
Supported the International Web Presence project of the Federal Employment Agency (IntWeb) in quality management, taking on responsibility for the quality of processes and project deliverables while adhering to BA standards. The project's main goals are to give professionals abroad a quick overview of their chances to move to Germany and to enable them to take the necessary steps in a consistently digital way.
Set the fundamental guidelines using the QA handbook
Summarized test results in QA reports for PLA
Analyzed project outcomes for improvement opportunities
Quality management of requirements analysis (especially processes, methods and tools)
Ensured compliance with SERA guidelines
Created a cross-project test concept
Agreed on sprint completion reports
Conducted formal reviews of deliverables according to guidelines and/or project plan
Acted as contact person for internal audit and external audits by auditors or the Federal Audit Office (BRH)
Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes
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
Lutz H.
Last position:
Developer for Oracle Forms, PL/SQL, Java at AIG Europe S.A.
- Development and implementation of backend components with PL/SQL and Oracle Forms 12c. Adaptation and further development of the policy administration system. Technical consulting in UI design with a focus on integrating existing Oracle Forms and the requirements of the BIPRO framework.
- The project takes place in the technical environment of BIPRO, SQL databases and Oracle Forms applications. The assigned work includes backend development and technical further development in the above project with the following tasks:
- Development and implementation of backend components with PL/SQL and Oracle Forms 12c to technically map the business processes and ensure a stable and efficient system architecture
- Adaptation and further development of the policy administration system to ensure system functionality in line with the requirements of the new broker communication program
- Analysis of the existing system to identify and avoid errors and technical problems during implementation, in order to enable a smooth transition to the new system
- Carrying out patching and further development of existing Oracle and Oracle Forms applications to ensure compatibility and security of the systems in use
- Technical consulting in UI design with a focus on integrating existing Oracle Forms and the requirements of the BIPRO framework.
Label: PL/SQL, Java, Oracle RDBMS and Oracle Forms
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)
Kevin M.
Last position:
Backend & Infrastructure Engineer at Mileo Systems GmbH
- Engineered production-ready Azure environments using Terraform, ensuring consistent infrastructure parity across VNets and Resource Groups
- Implemented Microsoft Fabric tenant and workspace architecture for multi-stage Medallion data processing pipelines
- Designed secure data pathways using Managed Private Endpoints for isolated Azure Storage access
- Managed Service Principals and authentication tokens for secure REST API integrations
Discover over 15,000 top freelancers
Statistics of experts using ETL
Aggregated from the professional profiles of matched freelancers.
Experience
19 years (Germany: 17 years)

Position duration
2.1 years (Germany: 5.2 years)

Positions per freelancer
13 (Germany: 11)

Top business areas
Information Technology, Business Intelligence, Product Development

Top industries
Information Technology, Banking and Finance, Transportation

Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
91% (Germany: 95%)
Master's degree or higher
61% (Germany: 67%)
Doctorate
12% (Germany: 11%)

Certifications per freelancer
4 (Germany: 3)

Most common languages
German, English, French

Speak two or more languages
98% (Germany: 97%)
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 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 ETL
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.
ETL 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 (84%)
- Banking and Finance (59%)
- Transportation (39%)
- Professional Services (39%)
- Automotive (34%)
- Energy (34%)
- Telecommunication (34%)
- Manufacturing (32%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
ETL foundations
ETL means Extract, Transform, Load: a structured way to move data from operational systems into a usable destination. Specialists extract records from databases, applications, files and APIs, transform them to fit business rules, then load them into data warehouses, lakes or reporting systems. They also design controls for validation, lineage and repeatable processing.
Pipelines and tooling
ETL work spans batch processing, scheduled workflows and increasingly event-driven integration. The right professional may work with Informatica, Talend, Microsoft SQL Server Integration Services (SSIS), Apache Airflow, dbt, cloud storage and warehouse services. Strong pipeline design keeps source systems stable while making transformations transparent and maintainable.
- Map source fields, dependencies and data ownership
- Build reusable extraction and transformation workflows
- Connect APIs, relational databases, files and SaaS systems
- Orchestrate loads with monitoring, retries and alerts
Business use cases
Companies use ETL to consolidate finance, sales, logistics, customer and operational data. Typical outcomes include trusted dashboards, regulatory reporting, migration support, master-data processes and feeds for machine learning. In Frankfurt, specialists often support data estates shaped by finance, manufacturing, transport and professional services while coordinating with local and remote teams.
When to bring expertise
Freelance expertise helps when an internal team faces inconsistent sources, slow reporting or a warehouse migration. It is also useful when a pipeline must be documented, tested or transferred without disrupting daily operations. Warning signs include recurring manual exports, unexplained metric differences, failed loads and unclear ownership of critical datasets.
- Replace spreadsheet-based consolidation with controlled pipelines
- Prepare a warehouse, lake or platform migration
- Improve data quality, observability and recovery processes
- Establish documentation and handover standards
Quality signals
Strong professionals begin with source profiling and clear acceptance rules rather than jumping into transformations. They separate configuration from logic, handle schema changes, protect sensitive data and test both normal and failure paths. They can explain trade-offs between ETL and ELT, choose suitable orchestration, and leave behind documentation that another team can operate.
Project collaboration
A good engagement defines source access, target models, refresh needs, ownership and success criteria early. Remote delivery works well when environments, credentials and decisions are managed clearly; on-site workshops can help when processes cross departments or legacy systems. Look for practical communication, careful change control and evidence of production support, not only tool familiarity.
Frequently asked questions
Quick answers to the questions that come up most around ETL.
ETL is used to collect data from multiple sources, clean and reshape it, and load it into a destination such as a warehouse or reporting database. Companies use it for analytics, migrations, operational integration, regulatory reporting and consistent business data.
ETL transforms data before loading it into the target system, while ELT loads the source data first and performs transformations inside the warehouse or lake. The better approach depends on data volumes, platform capabilities, governance needs and the level of control required before loading.
ETL specialists may work with Informatica, Talend, Microsoft SQL Server Integration Services, Apache Airflow, dbt and cloud-native data services. Tool choice should follow the existing environment, source systems, orchestration needs and the team's ability to operate the result.
ETL work benefits from SQL, data modelling, database administration, API integration and cloud storage knowledge. Experience with testing, observability, access control and data governance is also important when pipelines support critical reporting or regulated information.
ETL project needs vary with source complexity, business risk and the number of teams involved. A straightforward connector may need focused implementation support, while a legacy migration or shared data platform calls for a professional who has handled production failures, schema changes and handover.
ETL work is often well suited to remote collaboration because pipelines, documentation and tests can be reviewed digitally. On-site sessions in Frankfurt may still help with source-system access, process discovery and workshops involving finance, operations or data owners.
ETL quality is shown through clear source mapping, tested transformations, meaningful monitoring and reliable recovery procedures. Ask how the professional handles bad records, late data, schema changes, sensitive fields and documentation, then review a concrete example of a maintained production pipeline.
ETL engagements should define source owners, target models, refresh expectations, security boundaries and acceptance criteria. Also agree on access, deployment, monitoring, support and handover so the pipeline remains operable after the freelance specialist leaves.
The average hourly rate of freelancers in Frankfurt, Germany who have used ETL in their recent projects is 99 €, which corresponds to a daily rate of about 794 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used ETL in their recent projects, 91% hold at least a Bachelor's degree, 61% hold at least a Master's degree, and 12% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used ETL in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers in Frankfurt, Germany who have used ETL in their recent projects are German (100%), English (95%), and French (30%).
The most common industries among freelancers in Frankfurt, Germany who have used ETL in their recent projects are Information Technology (84%), Banking and Finance (59%), and Transportation (39%).
The most common business areas among freelancers in Frankfurt, Germany who have used ETL in their recent projects are Information Technology (100%), Business Intelligence (93%), and Product Development (73%).
Main locations of FRATCH Experts, who have recently used ETL
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:
Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!

Berlin
Hamburg
Munich
Cologne
Dusseldorf
Essen
Nuremberg