ETL Experts in Essen
to turn complex data into trusted insights, matched in minutes with the power of AIHire experts who design reliable data pipelines, connect ERP and CRM systems, and prepare warehouse-ready datasets with tools such as Informatica, Talend, Apache Airflow and dbt. FRATCH matches you quickly with vetted, available freelancers who fit your technical and business needs.
Meet FRATCH Experts in Essen, who have recently used ETL
Fadi S.
Last position:
Data Scientist at E-Commerce
- Designed and developed a production-ready data platform based on Microsoft Fabric for an e-commerce company
- Built a scalable Medallion Architecture (Bronze, Silver, Gold) with Lakehouse and Delta Lake as the foundation for analytics and AI applications
- Developed a metadata-driven ETL platform with PySpark and a generic Incremental Loading Framework (SQL Server → Bronze → Silver → Gold)
- Developed reusable components for Microsoft Fabric Notebooks to standardize data integration, transformation, and validation
- Implemented automated data pipelines including monitoring, logging, error handling, and Delta MERGE strategies for stable production operations
- Built a business layer architecture for reporting, data warehousing, and reusable data products
- Integrated heterogeneous data sources via SQL Server, REST APIs, Amazon SP API, and Google Analytics 4
- Worked closely with business departments to analyze business requirements and translate them into scalable data architectures
Technologies: Microsoft Fabric, PySpark, Python, SQL Server, Delta Lake, Lakehouse, OneLake, Data Factory, Data Warehouse, REST APIs, Amazon SP-API, Google Analytics 4
Asım Y.
Last position:
Freelance BI/DWH/ETL Specialist at Akbank
- Setting architectural standards for Informatica Power Center development teams
- Maintenance-performance-health for DWH (Exadata) environments
- Qlik Sense / BO reports architectural standards
- Implementing best practices in ETL tasks
- Documentation ETL standards on Confluence
- Dynamic Data Masking rules for GDPR/KVKK regulations by using Informatica DDM tool
- DWH Data model Power Designer
- Upgrade Qlik Sense versions
- Merge all Informatica server's repository databases on one Oracle DB
Hervé T.
Last position:
Senior Data Engineer at Schweizerische Post AG
Tools: Fabric, AWS, dbt, Power BI, SQL, DWH, R, Python
- Supported customers in implementing an architecture design for extracting and preparing data
- Planned the design and implementation of the BI and DWH platform
- Ensured the scalability and performance of the data platform
Laurin H.
Last position:
Software Architect (Freelance) at Care4Sure
- Delivered MVP-focused full-stack architecture for a health-sector client: Vite/React frontend, backend services on Google Cloud Run, and Supabase for database plus IAM/authentication.
- Supported product requirements engineering and prioritized cost-aware workload placement, implementing browser-side/edge computation where feasible before moving logic to backend services.
Abdulhasib M.
Last position:
Power BI Developer / BI Consultant at Telair International GmbH
- Development of Power BI reports, measures, and KPIs for sales, purchasing, materials management, warehousing, and production
- Analysis of the proALPHA database (Progress OpenEdge) and high-performance SQL queries for extraction and transformation
- Data models, ETL processes, and pipelines including automated refresh via Power BI Service and Data Gateway
- Gathering requirements and implementation in close coordination with the specialist departments
Selected projects:
- Sales report: revenue, incoming orders, and order status
- Purchasing report with automated purchase suggestions (Power Automate)
- Monitoring of missing parts for production and materials management
- Production bills of materials on Microsoft Fabric including deployment pipeline (Dev → Prod)
- Forecast comparison report
- Central Power BI apps that bundle all reports by department
Technologies: Power BI, DAX, Power Query (M), SQL, proALPHA, Progress OpenEdge, Microsoft Fabric, Power Automate, Python
Saruna M.
Last position:
Master's Thesis at Heinrich Heine Universität
- Title: Enhancing Syntactic Awareness in Transformer Language Models for Hindi Dependency Parsing
- Investigated syntactic knowledge captured by transformer language models (RoBERTa, XLM-RoBERTa) for Hindi dependency parsing, a morphologically rich and low-resource language.
- Developed structure-aware model variants (Struct_Roberta_hi, Struct_XLMR) by integrating a CNN-based parser network between transformer layers, inspired by the StructFormer architecture.
- Conducted extensive error analysis including label-wise, distance-based, direction-based, sentence length-based, and LVC/Non-LVC evaluations.
- Evaluated models on downstream NLP tasks (NER, POS tagging) using the IndicXTREME benchmark.
Abdulrahman S.
Last position:
Senior Business Intelligence Analyst at ELEMENT Insurance AG
- AI-Enabled Analytics & Reporting: Lead a 2-person BI team, applying predictive analytics and automation to translate complex business requirements into forward-looking insights, recommendations, and financial reports.
- Advanced Data Visualization: Design and maintain 25+ high-impact Power BI/Tableau dashboards tracking company-wide KPIs and trends, structured to support predictive and automated reporting.
- Web Analytics & Insights: Own GA4 tracking and analysis, driving a 15% increase in conversion insight through deeper customer journey analysis.
- Data Pipeline Optimization: Partner with data engineers to redesign and automate data pipeline workflows, cutting manual reporting time by 20% while safeguarding data accuracy and system uptime.
Henok A.
Last position:
Founder and Managing Director at Afworki GmbH IT-Consulting
The goal of Afworki GmbH IT-Consulting is to make small and medium-sized companies more competitive by overcoming challenges in digitalization, automation, and data management.
Tailored technology, strategy, and specialist consulting designed to meet the individual needs of each company.
Analyzing the company's current situation and developing the best possible solution together with the client.
Using both agile and classical IT project management methods to deliver projects on time and within budget.
Focusing on automating and orchestrating all data flows in a data warehouse to create a unified and standardized data foundation.
Considering the dependencies between IT and business to achieve sustainable positive effects.
Employing modern strategies and tools specifically tailored to the company's needs.
Supporting digitalization, the introduction of agile working methods, and the creation of up-to-date reports and analyses.
Objective: streamlining management and enabling well-founded, data-driven decision-making.
Ateet B.
Last position:
AI Engineer at MASX AI
Strategic transition into AI Engineering through intensive mentoring and project execution.
Developed MASX AI, an agentic AI platform integrating LangGraph, AutoGen, and RAG for geopolitical forecasting and real-time ETL.
Designed and delivered functional AI prototypes for prospective clients showcasing applied expertise in multi-agent systems, real-time data pipelines, and LLM integrations.
Alain Gérard E.
Last position:
Business Analysis / Requirements Engineering at 1&1
- Creating the functional specification for a dashboard solution for E2E management in the 5G deployment team in an Open RAN architecture
- Developing dashboards and reports with Power BI Desktop (data connection using Power Query, KPI calculations with DAX, publishing to Power BI Service)
- Developing solutions with Power Apps
- Integrating Power BI reports into Dynamics 365 Business Central
Rüdiger K.
Last position:
Data Analyst and Reporting Manager at Energieversroger
Implemented Power BI reporting for various departments at an energy provider. Agile project: responsible for organizing and coordinating with departments and IT, and regularly presented interim steps and results to project management.
Jochen R.
Last position:
Independent IT Consultant at Verti AG
- Project: Migration of large data sets
- Result: ETL route development with AWS Glue and Talend Open Studio
Discover over 15,000 top freelancers
Statistics of experts using ETL
Aggregated from the professional profiles of matched freelancers.
Experience
15 years (Germany: 17 years)
Position duration
1.7 years (Germany: 5.2 years)
Positions per freelancer
12 (Germany: 11)
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Healthcare, Insurance
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
73% (Germany: 68%)
Doctorate
9% (Germany: 11%)
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 97%)
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 Essen 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 Essen 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 29 Oct 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 (92%)
- Healthcare (67%)
- Insurance (58%)
- Automotive (50%)
- Manufacturing (50%)
- Education (42%)
- Energy (42%)
- Banking and Finance (42%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What ETL does
ETL means extract, transform and load. It moves data from operational sources into a target system such as a data warehouse, lake or reporting database. During the process, specialists clean inconsistent values, apply business rules, validate records and preserve the context needed for reliable analysis.
Typical data flows
ETL supports recurring and event-driven flows across finance, retail, manufacturing, logistics and healthcare. Common deliverables include:
- ERP, CRM and API data integrations
- Warehouse loads for reporting and business intelligence
- Customer, product and finance data consolidation
- Data quality checks, reconciliation and audit trails
Ecosystem and tooling
The ecosystem ranges from enterprise suites such as Informatica and Talend to open-source tools including Apache NiFi, Pentaho and Airbyte. Apache Airflow is often used to schedule and monitor pipelines, while SQL, Python and cloud services support transformation and operations. Strong specialists also understand ELT, where raw data is loaded before transformation inside the warehouse.
When companies need specialists
Companies bring in freelance ETL expertise when a migration, reporting program or system rollout creates more integration work than the internal team can absorb. Warning signs include repeated spreadsheet work, failed batch runs, unclear data ownership or reports that disagree. In Essen, professionals may support industrial, logistics and service organizations remotely or in person, depending on access and collaboration needs.
Skills that matter
Good ETL work combines data modeling, SQL, source-system knowledge and careful testing. Specialists should design incremental loads, handle schema changes, protect sensitive data and make failures easy to investigate. They also document mappings, dependencies and recovery steps so another team can operate the pipeline after delivery.
How to assess quality
Ask for examples of pipelines that include monitoring, restart logic and reconciliation rather than only successful imports. A strong professional explains trade-offs between ETL and ELT, batch and streaming, and managed services and custom code. Clear acceptance rules, sample records and a plan for production support reveal whether a solution is ready for daily use.
Frequently asked questions
The facts hiring teams ask for most often when it comes to ETL.
ETL is used to extract data from systems such as ERP, CRM, databases and APIs, transform it into a consistent structure, and load it into a warehouse or reporting environment. Companies use it for analytics, operational reporting, migrations, consolidation and regulated data processes.
ETL transforms data before loading it into the target system. ELT loads raw data first and uses the processing power of a modern warehouse or lakehouse for transformation. The right approach depends on data volume, governance, latency, platform capabilities and how much raw history must be retained.
A capable ETL professional usually brings strong SQL, data modeling, API integration and scripting skills. Experience with cloud warehouses, orchestration, data quality, access control and monitoring is also valuable. Knowledge of the source systems and the business meaning of key fields can be just as important as tool expertise.
The right level depends on the number of sources, transformation complexity, data sensitivity and production expectations. A straightforward migration may need focused delivery expertise, while a critical warehouse program requires someone who has designed resilient pipelines, handled failures and supported them after launch. Evaluate comparable work rather than relying on a generic seniority label.
Yes. ETL work is often suitable for remote collaboration when secure access, documentation and clear ownership are in place. Essen-based companies may still prefer occasional on-site workshops for source-system discovery or stakeholder alignment. German and English communication requirements should be agreed before the project begins.
A quality ETL solution produces complete, accurate and traceable results under normal and failure conditions. Check validation rules, reconciliation, idempotent reruns, monitoring, alerting, lineage and documentation. Ask how the specialist tests late data, duplicates, nulls, schema changes and partial loads.
ETL is preferable when reports need data from several systems, historical snapshots or consistent business rules. It reduces pressure on operational applications and creates a controlled layer for analytics. Direct reporting can be suitable for simple, immediate views, but it becomes harder to govern as sources and requirements grow.
Before starting ETL work, clarify source owners, target definitions, refresh needs, data volumes, security constraints and acceptance tests. Confirm who approves mappings and who operates the pipelines after handover. Access, environments and representative sample data should be available early so risks appear before the main build.
The average hourly rate of freelancers in Essen, Germany who have used ETL in their recent projects is 88 €, which corresponds to a daily rate of about 704 € based on an 8-hour working day.
Of the freelancers in Essen, Germany who have used ETL in their recent projects, 100% hold at least a Bachelor's degree, 73% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Essen, Germany who have used ETL in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.7 years.
The most common languages among freelancers in Essen, Germany who have used ETL in their recent projects are German (100%), English (100%), and French (33%).
The most common industries among freelancers in Essen, Germany who have used ETL in their recent projects are Information Technology (92%), Healthcare (67%), and Insurance (58%).
The most common business areas among freelancers in Essen, Germany who have used ETL in their recent projects are Information Technology (100%), Business Intelligence (92%), and Product Development (58%).
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.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf 
Nuremberg Countries:
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Philipp Thomaschewski
FRATCH CEO
