Borys Sushylnikov
Enterprise Data Architect @Banca Mediolanum
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WORK HISTORY
Enterprise Data Architect @Banca Mediolanum
Milano, IT
As part of the IT Technical Management Office within IT Operations & Infrastructure, I contribute to the continuous evolution and maintenance of the Bank\'s infrastructure technology stack, both on-premise and cloud-based, ensuring its efficiency and high availability.In my role, I focus on managing and advancing three core pillars within IT Data Management: Data Architecture, Data Modeling, and Data Quality. These are vital to the organization’s data governance and crucial for aligning the data strategy with business needs.Key Responsibilities- Data Architecture Development: I lead the definition and evolution of the organization\'s data architecture model, ensuring data domains are structured based on functional requirements. This involves ensuring data architecture aligns with the business strategy and technical needs of the organization- Data Modeling and Project Support: I manage the data model throughout various project phases, using the RACI model (Responsible, Accountable, Consulted, Informed) for clarity and coordination. This includes creating, evaluating, and validating the data model, sharing it with stakeholders, and establishing the vertical lineage to ensure data integrity and accessibility across the organization- Database and Model Management: I oversee the monitoring of database differences, the release and onboarding of new informational objects, and the consolidation and maintenance of the data model. Additionally, I ensure the technical dictionary remains up to date and aligned with our evolving architecture.Technologies and Tools- Erwin, Databricks, and Oracle SQL Developer are core tools for architectural design, data modeling, and validation, allowing me to structure and refine complex data environments- Power BI, Power Automate and Excel are essential for report design and development, helping with task monitoring and ensuring technical data quality oversight, which supports operational efficiency.
EDUCATION
Liceo Scientifico Santa Dorotea
Liceo scientifico tradizionale
Università Cattolica del Sacro Cuore
LM-83 Master of Science (M.Sc), Msc in Statistical and Actuarial Sciences: Data Analytics
Politecnico di Torino
Master of Engineering - MEng, Quantum Communication and Computing
Università Cattolica del Sacro Cuore
Laurea triennale in economia delle Imprese e dei Mercati , Profilo: Finanza e Mercati globali
ABOUT BORYS SUSHYLNIKOV
Welcome to my LinkedIn profile! I am an Enterprise Data Architect with a strong background in data engineering, analytics, and cutting-edge technologies like AI and Quantum Computing. Currently, I’m part of the IT Technical Management Office at Banca Mediolanum, within the IT Operations & Infrastructure sector, where I focus on the continuous evolution and maintenance of the Bank’s infrastructure technology stack (both on-premise and cloud-based), ensuring its efficiency and availability.In my current role, I focus on three core pillars of IT Data Management: Data Architecture, Data Modeling, and Data Quality, which are vital to the organization’s data governance and alignment with business objectives.Key Responsibilities- Leading the development and evolution of the data architecture, aligning it with business strategies- Managing the data model across projects using the RACI model, ensuring data integrity through vertical data lineage- Overseeing database management, including onboarding new informational objects and maintaining the technical dictionary.Technologies and Tools- Erwin, Databricks, and Oracle SQL Developer for architectural design and validation- Power Automate, Power BI and Excel for reports and monitoring technical data quality.Previous Experience:Before joining Banca Mediolanum, I worked as a Data Engineer at Intesa Sanpaolo, where I focused on AI, Quantum Computing, and their integration into Azure environments, with significant contributions in Generative AI and Quantum Algorithms for financial applications like exotic option pricing and client-focused applications in banking.I’ve also led research initiatives during my Master’s studies in Actuarial Sciences, where I worked on large-scale data analysis projects using Python and R, applying my expertise in both academic research and industry roles.Academic Background- Master of Science in Quantum Communication and Computing (ongoing)- Master of Science in Statistical Sciences and Bachelor’s in Economics from UCSC.Technical Skills- Proficient in Python, R, SQL, Azure, Power BI, Excel, Dbt, Snowflake, and GCP- Specialized in ETL/ELT, Big Data management, and data quality- Engaged in R&D for AI and Quantum Applications in finance.Languages- Fluent in Italian, English, and Russian, with basic French.Interests:In my free time, I enjoy playing tennis, kayaking, training, cooking, and exploring literature. Authors like Stendhal and Nassim Taleb inspire me, and I’m passionate about theatre and concerts.
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