23.06.2026 aktualisiert


Premiumkunde
100 % verfügbarSenior Enterprise & Information Architect | BI, AI & Data Engineering
Berlin, Deutschland
Weltweit
MBA Business, Coleman University Israel (2008-2010)Über mich
Senior Enterprise & Information Architect with over 9 years of experience specializing in BI, AI applications, and modern data warehousing, particularly within complex ERP and large-scale enterprise data environments. Azure Architect Synapse / Fabric, DataBricks, Spark modeling, SQL and Python.
Skills
Azure FunctionsdbtSql Data WarehouseBig DataGoogle BigQueryData IntegrationData TransformationData VaultData WarehousingAzure SQLAzure Data LakeAzure AutomationAzure Data FactoryMicrosoft Fabric (Analytics-Plattform)Azure Data Analytics
Cloud Data Platform Architecture (Azure, Snowflake, Google BigQuery)
Expertise in designing and implementing high-performance cloud data platforms using Azure DataBricks, Microsoft Fabric, Snowflake, and Google BigQuery. End-to-end architecture of Lakehouse environments including DirectLake and OneLake within the Microsoft Fabric ecosystem for scalable enterprise reporting and advanced analytics.
Data Engineering & ETL/ELT Pipeline Development
Extensive experience developing and deploying complex ETL/ELT data pipelines using tools such as DBT, Apache HIVE/Sqoop, Microsoft SSIS, Apache Airflow, and Spark/Python (ADF). Design and implementation of Data Vault 2.0 models for ERP and operational data sources ensuring flexible and traceable data foundations.
Generative AI & Machine Learning Applications
Hands-on experience with Azure AI Services, Azure AI Search, CosmosDB, and RAG Langchain for building AI-powered solutions. Implementation of generative AI workflows, embedding lifecycle automation, RAG-based assistants, and multi-agent systems integrating Computer Vision, NLP, and Predictive Analytics.
Business Intelligence & Data Analytics
Proficiency in MS Power BI (certified), Google Looker Studio, Adobe Analytics, and Spark & Jupyter Notebooks for building dashboards, reports, and analytical solutions across industrial, financial, and telecommunication sectors.
Programming Languages (SQL, Python, DBT-Jinja)
Strong command of SQL, Python with libraries such as Pandas, NumPy, Matplotlib, sciKit, and pySpark, as well as DBT-Jinja for data transformation and pipeline development.
Data Vault 2.0 & DWH Modelling
Certified Data Vault 2.0 Practitioner with experience designing and implementing data warehouse models for ERP and enterprise data sources, ensuring traceable and trusted data foundations.
Project & Version Control Tools
Practical use of Jira for agile project management and GitHub for version control and collaborative development in data engineering and BI projects.
API Development & Integration
Experience with PostMan for API development and testing, as well as building Python API connectors and OAuth integrations for source system data extraction.
Elastic Search & Search Optimization
Design and optimization of product search capabilities using Elastic Search, enabling high-performance full-text and semantic search solutions within enterprise data environments.
Expertise in designing and implementing high-performance cloud data platforms using Azure DataBricks, Microsoft Fabric, Snowflake, and Google BigQuery. End-to-end architecture of Lakehouse environments including DirectLake and OneLake within the Microsoft Fabric ecosystem for scalable enterprise reporting and advanced analytics.
Data Engineering & ETL/ELT Pipeline Development
Extensive experience developing and deploying complex ETL/ELT data pipelines using tools such as DBT, Apache HIVE/Sqoop, Microsoft SSIS, Apache Airflow, and Spark/Python (ADF). Design and implementation of Data Vault 2.0 models for ERP and operational data sources ensuring flexible and traceable data foundations.
Generative AI & Machine Learning Applications
Hands-on experience with Azure AI Services, Azure AI Search, CosmosDB, and RAG Langchain for building AI-powered solutions. Implementation of generative AI workflows, embedding lifecycle automation, RAG-based assistants, and multi-agent systems integrating Computer Vision, NLP, and Predictive Analytics.
Business Intelligence & Data Analytics
Proficiency in MS Power BI (certified), Google Looker Studio, Adobe Analytics, and Spark & Jupyter Notebooks for building dashboards, reports, and analytical solutions across industrial, financial, and telecommunication sectors.
Programming Languages (SQL, Python, DBT-Jinja)
Strong command of SQL, Python with libraries such as Pandas, NumPy, Matplotlib, sciKit, and pySpark, as well as DBT-Jinja for data transformation and pipeline development.
Data Vault 2.0 & DWH Modelling
Certified Data Vault 2.0 Practitioner with experience designing and implementing data warehouse models for ERP and enterprise data sources, ensuring traceable and trusted data foundations.
Project & Version Control Tools
Practical use of Jira for agile project management and GitHub for version control and collaborative development in data engineering and BI projects.
API Development & Integration
Experience with PostMan for API development and testing, as well as building Python API connectors and OAuth integrations for source system data extraction.
Elastic Search & Search Optimization
Design and optimization of product search capabilities using Elastic Search, enabling high-performance full-text and semantic search solutions within enterprise data environments.
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2023
Sprachen
DeutschverhandlungssicherEnglischMuttersprache
Projekthistorie
Built an automated ingestion pipeline to retrieve and index community data (Meta/Facebook API) into a vector database enabling a RAG-based assistant. Developed a data analysis engine processing unstructured community interactions to extract real-time sentiment scores and engagement trends. Integrated AI assistant with Slack/Teams to automate routine responses and moderate content, reducing manual community management workload by 40%.
Designed an HR Co-Pilot using Azure OpenAI and Azure AI Search for policy-backed personalized answers from unstructured documents. Implemented generative AI workflows to automate creation of job descriptions, offer letters, and performance review drafts, reducing HR administrative time by 50%. Built a multi-step automation using Azure Logic Apps and AI agents to orchestrate end-to-end onboarding processes including document verification, system access provisioning, and training schedule generation.
Designed a multi-agent system integrating Computer Vision, NLP, and Predictive Analytics to optimize household grocery spending. Developed an invoice recognition pipeline using OCR/Vision Transformer to digitize historical purchase data. Built a semantic search engine using vector embeddings to map shopping list items to standardized product catalogs with >90% accuracy. Deployed a RAG-based LLM agent for conversational shopping assistance. Tech stack: Python, LangChain, Vector Databases (Pinecone/Milvus), Computer Vision (OpenCV/YOLO), LLMs (OpenAI/Llama).