Olist Analytics | Modern Data Platform | Azure, Snowflake & dbt
Luiz Jesus
Published
End-to-end Modern Data Platform built to transform e-commerce data into analytics-ready datasets using a scalable cloud architecture.
The solution covers the complete data lifecycle, from ingestion and cloud storage to transformation, data quality, governance, dimensional modeling, and BI consumption.
Key components:
• Azure Data Factory (ADF)
• Azure Data Lake Storage Gen2 (ADLS)
• Snowflake
• dbt Core
• SQL
• Power BI
• Medallion Architecture
• ETL/ELT pipelines
• Dimensional modeling
• Data Quality tests
• Data Lineage
• RBAC and data governance
Azure Data Factory handles ingestion and orchestration, ADLS Gen2 provides the landing layer, Snowflake serves as the analytical data platform, and dbt implements transformation and quality rules across Silver and Gold layers.
The Gold layer provides dimensional models and curated datasets ready for analytics and Power BI consumption.
Project developed as a practical end-to-end Data Engineering portfolio case.