Fadi S.-Operational AI & Data Engineering Consultant
Check rate
Experience
AI-Engineer
Recruitment Agency
- Design, development, and productive rollout of an Enterprise HR Copilot based on Microsoft Copilot Studio to automate internal HR processes
- Development of an AI-supported assistant for answering employee inquiries based on a SharePoint knowledge base and internal company HR documentation
- Integration of the Copilot into Microsoft Teams, including welcome logic, user guidance, and role-based routing
- Automation of HR processes and approval workflows with Microsoft Power Automate to reduce manual processing steps
- Development of realistic HR documents and response templates with Azure OpenAI, taking business requirements and consistent company policies into account
- Implementation of prompt strategies, knowledge management, and response optimization to improve response quality and user acceptance
- Close collaboration with business departments to analyze requirements and integrate the AI solution into existing company processes
Technologies:
Microsoft Copilot Studio, Microsoft Teams, Azure OpenAI, SharePoint, Power Automate, Power Platform, Microsoft 365, Prompt Engineering, Workflow Automation
Data Scientist
E-Commerce
- Design and implementation of a metadata-driven Bronze/Silver Lakehouse architecture in Microsoft Fabric.
- Development of scalable data ingestion pipelines for Workforce and Jedox data.
- Implementation of JSON parsing, flattening, and Delta Lake transformations.
- Development of structured Silver Tables, including data quality checks and audit logging.
- Implementation of automated pipeline orchestration and monitoring mechanisms.
- Processing of complex nested Workforce data structures within a Medallion Architecture.
Technologies: Microsoft Fabric, PySpark, Delta Lake, OneLake, Data Engineering, JSON Processing
Data Scientist & AI-Engineer
E-Commerce
- Development of a production-ready Enterprise AI solution for the automated processing of invoices and business documents
- Integration of Azure AI Document Intelligence and LLM technologies into existing company processes
- Development of robust REST APIs for automated document processing and system integration
- Extraction, validation, and storage of structured invoice data in Azure SQL as a basis for analytics and machine learning models
- Development of an AI-based recommendation engine with machine learning and deep learning to generate personalized product recommendations based on historical purchasing data
- Implementation of logging, monitoring, error handling, and validation mechanisms for stable productive operation
- Collaboration with business departments to define business rules and integrate the solution into existing enterprise processes
Technologies: Python, Azure AI Document Intelligence, Azure OpenAI, Azure SQL Database, REST APIs, Machine Learning, Deep Learning, OCR, Pandas, JSON, Workflow Automation
AI Data Science & RPA Automation Engineer
E-Commerce
- Development of a fully automated RPA workflow for processing quotation and document data
- Automated download, processing, and structuring of enterprise documents and attachments
- Implementation of intelligent decryption and error-handling logic
- Development of central dashboard and monitoring components for operational automation processes
- Optimization of performance, process control, and logging
Technologies: Python, RPA, Automation Engineering, Workflow Automation, Intelligent Document Processing
Data Scientist
E-Commerce
- Design and development of a production-ready data platform based on Microsoft Fabric for an E-Commerce company
- Development of a scalable Medallion Architecture (Bronze, Silver, Gold) with Lakehouse and Delta Lake as a foundation for analytics and AI applications
- Development of a metadata-driven ETL platform with PySpark and a generic Incremental Loading Framework (SQL Server → Bronze → Silver → Gold)
- Development of reusable components for Microsoft Fabric Notebooks to standardize data integration, transformation, and validation
- Implementation of automated data pipelines, including monitoring, logging, error handling, and Delta MERGE strategies for stable productive operation
- Development of a business layer architecture for reporting, data warehousing, and reusable data products
- Integration of heterogeneous data sources via SQL Server, REST APIs, Amazon SP API, and Google Analytics 4
- Close collaboration 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
Data Scientist & Analytics Consultant
HSBC
- Development and optimization of scalable data and analytics platforms in an enterprise environment
- Building automated ETL and data processing workflows with Python, SQL and Google Cloud
- Development of data-driven analysis and forecasting models to support operational and strategic decisions
- Automation of complex reporting and data processes to reduce manual effort
- Use of BigQuery, AI Platform and TensorFlow for scalable analytics and ML workloads
- Development of interactive BI and visualization solutions for real-time analysis and operational transparency
- Collaboration with business departments and technical stakeholders to optimize data-driven processes
Technologies: Python, SQL, Google Cloud Platform (BigQuery, AI Platform), TensorFlow, Tableau, PyQt5
Data Scientist & Automation Engineer
P.E.G. Einkaufs- und Betriebsgenossenschaft eG
- Building and further developing data-driven analysis and automation structures in a business environment
- Development of predictive models to support operational and strategic business decisions
- Design and automation of scalable ETL and data processing processes
- Development of automated Python- and Selenium-based workflows to optimize repetitive business processes
- Conducting data-driven customer and segmentation analyses, including RFM modeling
- Improving data quality, data availability and operational transparency through automated analysis processes
Technologies: Python, SQL, Selenium, ETL, Data Analysis, Predictive Analytics
Data Science & Trading Technology Analyst (Working Student)
HSBC
- Development and automation of data-driven processes to optimize financial data processing
- Implementation of Python-, R- and VBA-based automation solutions in the trading and data environment
- Support in optimizing Identity & Access Management (IAM) processes for trading systems
- Contribution to IT system migrations and the structuring of technical documentation with Atlassian Confluence
- Development of data-based customer and segmentation models using PCA and K-Means Clustering
- Standardization of technical processes and automation workflows to improve operational efficiency
- Preparation of technical analyses and reports to support data-driven IT and operational decisions
Technologies: Python, R, VBA, SQL, PCA, K-Means, Atlassian Confluence, IAM
Working Student, Data Analysis & Programming
Innogy SE
- Development of data-driven analysis and visualization solutions to support operational business decisions
- Automation of internal processes through the development of customized business tools in VB.NET
- Support in processing and analyzing operational data structures
- Application of initial machine learning and analysis methods to optimize data-driven processes
Technologies: VB.NET, Data Analysis, Data Visualization, Machine Learning
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Banking and Finance, Healthcare, Professional Services, Retail, Energy, and Utilities.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Business Intelligence, and Product Development.
Summary
I support companies in developing production-ready AI and data solutions, from architecture to productive operation.
My focus is on Enterprise AI, Microsoft Fabric, Data Engineering, Document AI, and modern LLM applications.
I develop scalable data platforms, lakehouse architectures, AI-supported business processes, and intelligent document processing solutions, and I support companies in sustainably integrating AI into existing processes.
My core competencies:
- Microsoft Fabric & Lakehouse
- Data Engineering & ETL Frameworks
- Enterprise AI & LLM Applications
- Document AI & OCR
- Workflow Automation
- Python & PySpark
- Azure OpenAI
- SQL & Delta Lake
Skills
Enterprise Ai & Ai Engineering: Design And Development Of Production-Ready Ai Solutions, Llm Applications, Rag, Document Ai, Ai Agents, Prompt Engineering, Ai Workflow Automation
Data Engineering: Microsoft Fabric, Lakehouse, Delta Lake, Pyspark, Python, Sql, Etl/Elt, Metadata-Driven Etl, Incremental Loading, Data Pipelines, Data Warehouse
Microsoft Fabric: Fabric Notebooks, Data Factory Pipelines, Lakehouse, Warehouse, Onelake, Dataflows, Deployment, Monitoring, Performance Optimization
Document Ai: Ocr, Document Classification, Information Extraction, Structured Data Extraction, Pdf Processing, Azure Ai Document Intelligence
Cloud & Ai Platforms: Microsoft Azure, Azure Openai, Azure Key Vault, Rest Apis, Docker, Kubernetes, Git
Databases: Sql Server, Postgresql, Mysql, Delta Lake
Analytics & Bi: Power Bi, Microsoft Fabric Warehouse, Sql Analytics, Data Modeling, Kpi Dashboards
Software Engineering: Object-Oriented Development (Oop), Software Architecture, Design Patterns, Clean Code, Api Integration, Testing
Industries: E-Commerce, Enterprise Ai, Document Processing, Insurance, Data Platforms
Languages
Education
Universität Duisburg-Essen
Master of Science in Mathematik · Mathematics · Germany
Universität Al-Baath
Bachelor of Science in Mathematik - Analytik · Mathematics - Analytics · Syrian Arab Republic
Certifications & licenses
Exploratory Data Analysis For Machine Learning
Coursera, IBM
Generative AI: Introduction And Applications
Coursera, IBM
Google Cloud Big Data & Machine Learning Fundamentals
Coursera, Google Cloud
Importing & Cleaning Data With Python
Natural Language Processing & Capstone
Coursera, UC Irvine
Python For Data Science, AI & Development
Coursera, IBM
Advanced Tableau Training
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Fadi is based in Oberhausen, Germany.
Fadi speaks the following languages: Arabic (Native), German (Advanced), English (Advanced).
Fadi has at least 7 years of experience. During this time, Fadi has worked in at least 8 different roles and for 5 different companies. The average length of individual experience is 1 year and 9 months. Note that Fadi may not have shared all experience and actually has more experience.
Based on recent experience, Fadi would be well-suited for roles such as: AI-Engineer, Data Scientist, Data Scientist & AI-Engineer.
Fadi's most recent position is AI-Engineer at Recruitment Agency.
In recent years, Fadi has worked for Recruitment Agency, E-Commerce, HSBC, and P.E.G. Einkaufs- und Betriebsgenossenschaft eG.
Fadi is most experienced in industries like Banking and Finance, Healthcare, and Retail. Fadi also has some experience in Energy, Utilities, and Professional Services.
Fadi is most experienced in business areas like Information Technology, Business Intelligence, and Product Development.
Fadi has recently worked in industries like Banking and Finance, Healthcare, and Retail.
Fadi has recently worked in business areas like Information Technology, Business Intelligence, and Product Development.
Fadi holds a Master in Mathematics from Universität Duisburg-Essen and a Bachelor in Mathematics - Analytics from Universität Al-Baath.
Fadi has 7 certificates. Among them, these include: Exploratory Data Analysis For Machine Learning, Generative AI: Introduction And Applications, and Google Cloud Big Data & Machine Learning Fundamentals.
Fadi is immediately available full-time for suitable projects.
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Average rates for similar positions
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 17 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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