Fabio Galvagni - IT Architect, Requirements Analyst and Consultant
Experience
IT Architect, Requirements Analyst and Consultant
CANCOM
- Supports CANCOM customers in migrating legacy on-prem systems to Microsoft Fabric and Microsoft Foundry
- Takes over and stabilizes existing solutions after a short handover
- Business analysis and requirements engineering for migration to a new cloud environment
- Optimization of machine learning models for feature extraction and customer profiling
- Ensures data protection and compliance
- Leads the migration of on-prem systems to Microsoft Fabric
- Designs new AI platforms for clients
- Tests the integration of chatbots for document intelligence with Microsoft Foundry, including requirements analysis, implementation, validation, and client communication
IT Consultant, Solution & Project Manager
Interzero
- Designed, developed, and managed a data analysis system based on Azure Synapse Analytics and Apache Spark to support business processes like billing and SLA management
- Analyzed business requirements under time and budget constraints, designed and implemented the solution
- Optimized performance and quality of the existing solution and implemented new features
- Designed and tested the migration from Azure Synapse Analytics to Microsoft Fabric
Data Engineer & Solution Manager
Bank99
- Took over and stabilized a big data and machine learning solution based on Azure Synapse Analytics and Azure Databricks
- Designed and implemented a curated zone as a feature store for AI/ML subsystem
- Conducted business analysis and requirements engineering for migration to the new environment
- Optimized and fine-tuned machine learning models with LLMs for feature extraction, customer profiling, and retention
- Ensured data protection and compliance
- Migrated the solution from Azure Synapse Analytics to Microsoft Fabric
- Designed the bank's new ML/AI platform
- Integrated SAS software: migrated the SAS recommendation system to Python using pandas, scikit-learn, and PySpark for scalability, Azure integration, performance, and cost savings
IT Consultant, Data Engineering
Rail Cargo Group (OBB)
- Designed the architecture of a big data solution based on Microsoft Azure, Azure Synapse Analytics, and Data Vault 2.0
- Developed a proof of concept by taking over and assessing an existing solution with Azure Databricks and Azure Data Factory
- Expanded and refined the POC into a production-ready solution
- Set up a deployment pipeline with Azure DevOps and Terraform together with DevOps engineers
IT Consultant & Project Manager
BAWAG P.S.K. AG
Optimized and fine-tuned the group data warehouse for speed and system stability
Implemented and rolled out a solution for anonymizing customer data according to EU data protection laws, including integration, testing, debugging, optimization, configuration, documentation, adding a configurable and auto-testable module, team building, and training
Stabilized, expanded, and optimized the internal solution for external reporting to the Austrian Federal Ministry of Finance
Contributed to the design and implementation of the reporting hub to centralize external reporting activities (RegTech)
Coordinated operations tasks like deployments, documentation, source code repository management, vendor communication, and automating legacy reports to improve efficiency
IT Data Engineering Consultant
Erste Group Bank AG
- Design, development, and optimization of a data warehousing solution to capture, monitor, and provide financial and credit risk data to the Austrian National Bank according to EBA requirements
- Operations management after go-live, including leading the IT team by facilitating and running Scrum events
- Onboarding and training of new developers and business analysts
IT Team Lead & Project Manager
ImmobilienScout24 GmbH
- Design, development, optimization, and management of a data warehousing solution for the online real estate business
- Designing and implementing data-driven products based on statistical models
- Migration of a SAS-based pricing module to Python/Pandas/Scikit-learn
- Planning, design, and execution of the IT infrastructure migration to the Microsoft Azure cloud
IT Consultant
Kapsch AG
- Development, testing, and optimization of a data warehousing solution to support control management activities within the Kapsch Group
IT Consultant
Deutsche Telekom AG
- Co-development, testing, and optimization of a data warehousing solution for the streaming multimedia on-demand business
- Defining new KPIs and developing a DWH interface for integration with a SAS customer campaign management module
IT Consultant
General Electric Company, European Headquarters
- Development and testing of a migration project from an old data warehouse and reporting system to a standard solution based on Oracle 11g and SAP BusinessObjects
Junior IT Consultant
University of Brescia
- Design and implementation of a data warehousing solution for collecting, monitoring, and analyzing environmental data of Lake Iseo in Lombardy
Vice President
AIESEC, Brescia Committee
- Planning and running events and promotional activities
- Maintaining partnerships and corporate relationships
- Recruiting and training new members
Industry Experience
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Experienced in Banking and Finance, Information Technology, Real Estate, Education, Transportation, and Telecommunication.
Business Area Experience
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Experienced in Business Intelligence, Information Technology, Project Management, Human Resources, and Marketing.
Summary
I am a data and AI expert who helps organizations design, develop, optimize, and manage innovative and impactful solutions. I specialize in the Microsoft Azure cloud platform.
I use agile methods, especially Scrum and Kanban, to deliver high-quality results on time.
In my free time, I deepen my knowledge in cloud computing, AI engineering, and DevOps.
Skills
Data Engineering, Analytics, Business Intelligence, Data Warehousing, Data Governance
Devops, Dataops, Platform Engineering, Ci/cd
Ai Engineering, Machine Learning
Agile Project Management (Scrum, Kanban), Business And Requirements Analysis
Big Data Engines: Microsoft Fabric, Databricks, Azure Synapse Analytics, Apache Spark
Programming Languages & Frameworks: Python, Java, .Net (C#, F#)
Databases: Microsoft Sql Server / Azure Synapse Dedicated & Serverless, Oracle, Postgresql
Ai Engineering: Microsoft Foundry, Langchain/langgraph/langsmith, Llamaindex, Microsoft Semantic Kernel
Ml: Deep Learning, Decision Trees, Market Basket Analysis, Cluster Analysis, Hedonic Price Modeling
Data Integration, Etl & Orchestration: Dbt, Talend, Azure Data Factory, Automic/uc4, Microsoft Ssis, Odi
Cloud Computing: Azure
Bi & Data Analysis Tools: Power Bi, Ssas & Ssrs, Sap Businessobjects, Tableau, Microstrategy
Devops: Git, Azure Devops, Docker, Podman, Terraform, Bicep, Ansible, Bash, Powershell, Kubernetes
Languages
Education
University of Buckingham
PhD · General & Financial Portfolio Management · Buckingham, United Kingdom
WU Executive Academy
MBA · Business Administration · Vienna, Austria
University of Brescia
MSc · Computer Science · Brescia, Italy
Certifications & licenses
Azure Fundamentals
MCSE Data Management & Analytics
Microsoft Azure Data Engineer Associate
Professional Scrum Master
Scrurn.org Professional Product Owner
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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