09/14/2026 updated
not available
info: not available until 01/01/2027
Analytics Engineer | dbt | Snowflake | Data Vault 2.0 | Looker | Python
Albano Sant'Alessandro, Italy
Only remote
Master's in Marketing & Communication, Università Commerciale Luigi Bocconi (2016–2018)About me
I turn organisational mess into systems people can actually use. I own the warehouse models and contractual logic behind a logistics scaleup's top account: 10 Excel-driven processes rebuilt as tested pipelines, a €360K/year data product and front-ends where non-tech users get answers easily.
DagsterdbtSql Data WarehouseData AnalysisBusiness IntelligenceBusiness Intelligence DevelopmentData ArchitectureData IntegrationData TransformationData Transformation ServicesData Vault ModelingData WarehousingDatabase DevelopmentPython (Programming Language)DataOps
Data Modeling & Warehousing
Expertise in Data Vault 2.0, star schema, dimensional modeling, ELT, reverse ETL, and data quality testing. Design and ownership of warehouse models for high-revenue, business-critical accounts within large-scale data platforms.
SQL & Python Development
Proficiency in SQL and Python for building data pipelines, data products, and analytical tools. Development of dbt models, Python notebooks, and Streamlit applications used in production environments.
Data Pipeline Engineering with dbt & Snowflake
Hands-on experience building and operating end-to-end data pipelines using dbt and Snowflake, including scheduling, failure diagnosis, lineage tracing, and migration of business-critical flows from spreadsheet macros to modern ingestion and transformation frameworks.
Orchestration with Dagster
Operation of dbt models in Dagster, covering scheduling, manual runs, failure diagnosis, and lineage tracing across dependencies, including data sourced from Kafka and operational systems.
Data Ingestion with Fivetran & Kafka
Experience with Fivetran for data ingestion and Kafka as a source for operational data, enabling reliable and scalable data flows into the warehouse layer.
Business Intelligence with Looker
Building Looker models and reports used across the business, and modeling data into reverse-ETL marts maintained by the data platform team.
Streamlit Application Development
Shipping internal self-serve tools for non-technical stakeholders using Streamlit, including applications that automate manual workflows such as draft email generation from order data.
Cloud & AWS Infrastructure
Building and running monthly end-to-end pipelines on AWS using S3, ECS Fargate, ECR, and EventBridge, with a medallion architecture and Streamlit dashboards for production use.
Requirements Gathering & Stakeholder Collaboration
Gathering requirements from business stakeholders and translating contractual specifications into data logic, working alongside data platform and software engineering teams.
CRM & Marketing Analytics
Experience as a key CRM user, defining data requirements, maintaining data integrity across sales organisations, and building reporting on core marketing metrics.
Expertise in Data Vault 2.0, star schema, dimensional modeling, ELT, reverse ETL, and data quality testing. Design and ownership of warehouse models for high-revenue, business-critical accounts within large-scale data platforms.
SQL & Python Development
Proficiency in SQL and Python for building data pipelines, data products, and analytical tools. Development of dbt models, Python notebooks, and Streamlit applications used in production environments.
Data Pipeline Engineering with dbt & Snowflake
Hands-on experience building and operating end-to-end data pipelines using dbt and Snowflake, including scheduling, failure diagnosis, lineage tracing, and migration of business-critical flows from spreadsheet macros to modern ingestion and transformation frameworks.
Orchestration with Dagster
Operation of dbt models in Dagster, covering scheduling, manual runs, failure diagnosis, and lineage tracing across dependencies, including data sourced from Kafka and operational systems.
Data Ingestion with Fivetran & Kafka
Experience with Fivetran for data ingestion and Kafka as a source for operational data, enabling reliable and scalable data flows into the warehouse layer.
Business Intelligence with Looker
Building Looker models and reports used across the business, and modeling data into reverse-ETL marts maintained by the data platform team.
Streamlit Application Development
Shipping internal self-serve tools for non-technical stakeholders using Streamlit, including applications that automate manual workflows such as draft email generation from order data.
Cloud & AWS Infrastructure
Building and running monthly end-to-end pipelines on AWS using S3, ECS Fargate, ECR, and EventBridge, with a medallion architecture and Streamlit dashboards for production use.
Requirements Gathering & Stakeholder Collaboration
Gathering requirements from business stakeholders and translating contractual specifications into data logic, working alongside data platform and software engineering teams.
CRM & Marketing Analytics
Experience as a key CRM user, defining data requirements, maintaining data integrity across sales organisations, and building reporting on core marketing metrics.
Languages
EnglishFluentItalianNative speaker
Project history
Owned warehouse and data models for the company's highest-revenue account, including custom contractual logic and dedicated flows within a 6-person team. Built a data product valued at over 360K EUR/year producing contract-compliant GPS trip records. Migrated approximately 10 business-critical flows from spreadsheet macros to Fivetran ingestion and dbt models. Shipped internal self-serve Streamlit tools for non-technical stakeholders. Built Looker models and reverse-ETL marts. Operated dbt models in Dagster and gathered requirements from business stakeholders to translate contractual specifications into data logic.
Conducted customer, sales and portfolio analysis, turning commercial questions into data-driven recommendations. Served as key CRM user, defining data requirements and maintaining data integrity across the sales organisation. Built reporting on core marketing metrics and trained sales teams to use it.
Supported global product managers with data analysis and market research. Built an internal platform for managing marketing materials.