Work experience

Senior Data Engineer

Main duties and responsibilities:

• Design and implement scalable, distributed data platforms and architectures on major cloud providers, covering the full data lifecycle and with a strong focus on performance, reusability, and cost efficiency.
• Support data science teams by building feature engineering pipelines, deploying serving architectures for ML and GenAI use cases, and introducing MLOps practices for model lifecycle management.
• Architect and implement enterprise-grade data governance platforms and data mesh solutions, ensuring discoverability, access control, and data product lifecycle management.
• Design and maintain IaC solutions, implement CI/CD pipelines, and manage cloud resource provisioning following DevOps best practices across multi-team and multi-domain environments.

Data Engineer

Laboratory assistantship

Certifications

AWS Certified Security - Specialty (SCS-C03)

AWS Certified Machine Learning Engineer - Associate (MLA-C01)

Databricks Certified Data Engineer - Professional

AWS Certified Data Engineer - Associate (DEA-C01)

AWS Certified DevOps Engineer - Professional (DOP-C02)

AWS Certified Solutions Architect - Professional (SAP-C02)

Databricks Certified Data Engineer Associate

HashiCorp Certified: Terraform Associate (003)

Databricks Certified Associate Developer for Apache Spark 3.0

Education

2nd Level Specializing Master in Artificial Intelligence and Cloud Computing: Hands-on Innovation

Thesis title: Engineering ETL processes on AWS: a framework-based solution
Final mark: 110/110 cum laude

Master of Science (Laurea Magistrale) in Computer Engineering, Data Science orientation

Thesis title: A density-based method for scalable outlier detection in large datasets
Final mark: 110/110 cum laude

Alta Scuola Politecnica

Project title: EnerChainge: Blockchain for smart energy applications

Alta Scuola Politecnica offers an excellence double degree program restricted to the top 150 students of Politecnico di Torino and Politecnico di Milano. ASP students are required to attend additional, ad-hoc courses and develop a final, year-long multidisciplinary project in collaboration with academic and industrial tutors.

Master of Science in Computer Science (TOP-UIC)

TOP-UIC is a MS-level double degree program offered by Politecnico di Torino and University of Illinois at Chicago (UIC). TOP-UIC students are required to attend a semester of courses in Chicago and develop the final thesis in collaboration with advisors from both universities.

Bachelor of Science (Laurea) in Computer Engineering

Final mark: 110/110 cum laude

Part of the Percorso per Giovani Talenti project, restricted to the top 200 students of the university, which integrates the normal educational plan with the addition of supplementary courses and activities.

High school diploma (Maturità Scientifica)

Final mark: 100/100 cum laude

Publications

DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets

2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021, pp. 37-48, doi: 10.1109/ICDE51399.2021.00011.

Languages knowledge

Mother tongue. Italian

Other languages. English level C1 (CEFR)

Certificates. IELTS Academic 8.0 (April 14th, 2018)

Technical knowledge

Big Data & Processing. Deep expertise in distributed data processing using Apache Spark, with hands-on experience in Delta Lake and Apache Iceberg for reliable, versioned data lake management.

Databases & Storage. Broad knowledge of relational and NoSQL databases, including PostgreSQL, MySQL, Oracle, MongoDB, Elasticsearch, and DynamoDB, with experience in data modeling, querying, and optimization.

AI/ML. Hands-on experience designing and deploying AI/ML solutions using SageMaker and Bedrock, including generative AI, RAG and agentic architectures, model serving, and end-to-end MLOps practices for model lifecycle management.

Infrastructure & DevOps. Strong experience with Infrastructure as Code via Terraform and CloudFormation, containerization with Docker and Kubernetes, and CI/CD pipeline design across multiple platforms including Jenkins, CodePipeline, GitLab CI, and Azure DevOps.

Amazon Web Services. Extensive hands-on experience across a broad range of services, covering compute, networking, storage, data, governance, security, and AI/ML, including including EC2, Lambda, ECS, EKS, S3, RDS/Aurora, DynamoDB, Step Functions, API Gateway, Cognito, CloudWatch, Glue, Kinesis, SageMaker, Bedrock, AgentCore, Lake Formation, DataZone, and more.

Databricks. Advanced proficiency in data engineering and medallion lakehouse architectures, including pipeline development, cluster management, and MLflow-based model lifecycle management.

Snowflake. Experience in cloud data warehousing, including data ingestion from batch and real-time sources, transformation via stored procedures and tasks, data consumption, and cost optimization.

Programming Languages. Python, Scala, Java, SQL, TypeScript/JavaScript, HTML/CSS, shell scripting.