Riccardo Ricci
Senior Data Consultant @KPMG
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WORK HISTORY
Senior Data Consultant @KPMG
Turin, IT
Led end-to-end development of analytics solutions — from business requirement gathering to SQL-based ETL, data modeling, and delivery of 3 Qlik Sense and 1 Power BI dashboards, including use of ODAG for big data scalability- Designed and optimized 5+ PySpark pipelines in Databricks, including ingestion and processing of sensor data with billions of records, significantly improving performance and data availability- Supervised and mentored 3 junior team members, supporting their growth while ensuring timely resolution of data quality issues and enhancements to dashboard performance.
EDUCATION
Politecnico di Torino
Doctor of Philosophy - PhD, Engineering/Industrial Management
Politecnico di Torino
Master's degree, Engineering/Industrial Management
University of Michigan - School of Information
Master's degree, Master of Applied Data Science
Alma Mater Studiorum – Università di Bologna
Bachelor's degree, Engineering/Industrial Management
ABOUT RICCARDO RICCI
Senior Data Engineer at KPMG with over two years of experience in data engineering and analytics, specializing in the design and optimization of scalable PySpark pipelines on Databricks and the implementation of high-performance SQL-based ETL processes.I have extensive experience delivering analytics solutions within the automotive industry, with a specific focus on Supply Chain, CRM, Quality, and Warranty domains. I lead initiatives end-to-end, from business requirements gathering and data modeling to the delivery of actionable dashboards using Qlik Sense and Power BI, supporting data-driven decision-making across global stakeholders.Results-driven and committed to empowering organizations through robust data solutions, continuous dashboard enhancements, and operational excellence. With a strong foundation in applied data science, I actively mentor junior team members, fostering their growth while ensuring high-quality, reliable project outcomes. Passionate about translating complex business needs into impactful data strategies through a deep understanding of modern data engineering and visualization tools.
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