Giuseppe
Vulduraro

Chief Data Officer

• Introduced declarative data contracts (43 checks, hourly and on every write) with CloudWatch alerting, turning data quality and governance into an automated gate.
• Built a multi-agent AI operations platform (Claude, MCP) with LLM-as-judge evaluation calibrated against human raters and human approval on every outbound action.
• Work directly with airport, retail and media clients: translate business questions into data products and KPIs, and shape the product roadmap with the team.

Founding Data Engineer

• Designed and built E23’s passenger profiling platform (~360k lines of code; Python, FastAPI, PostgreSQL on AWS), serving 535M+ rows across 16 airports to customer-facing dashboards.
• Decoupled data generation from database writes with an exactly-once Parquet pipeline (Celery, PyArrow, S3), so compute scales independently of the database.
• Aligned PostgreSQL LIST + HASH partitioning with how clients query the data: each dashboard request reads a single airport slice instead of the full table.
• Built the analytics engineering layer with tested dbt models orchestrated by Dagster, and a DuckDB OLAP engine that reuses the Parquet files the pipeline already writes.
• Codified the AWS infrastructure (ECS, RDS, S3, CloudFront, KMS) in Terraform, with GitHub Actions CI/CD, security scanning and verified rollbacks.

First-level Master in AI and AI Agents for Business (60 ECTS)

Bachelor’s Degree in Mathematics