ontractor at: JM Family
Project Description: Create a Data Lake and Business Views in Azure Cloud
Responsibilities: Data Architect and Data Engineer
Tech stack: Working as Data Engineer in Microsoft Azure using the following technologies: Synapses, gathering business rules with the client, defining data ingestion strategies with Azure Data Factory, Cosmos DB, Gen2, Synapses, building solutions for Multidimensional Modeling
Contractor at: Bradesco Bank
Project Description: Create a Lake House in Azure Cloud
Responsibilities: Data Architect and Data Engineer
Tech stack: Work as Data Architect/Data Engineer in Microsoft Azure using the following technologies: Azure SQL Server, Python, Data Factory, PySpark, requirements gathering, create strategies to ingestion and transformation data.
Contractor at Johnson & Jonhson
Client name: Johnson & Johnson
Project Description: Ingest data from Nielsen in J&J Data Lake in AWS Cloud,
Multidimensional Modeling
Responsibilities: Team Leader and Data Architect
Tech stack: Work as Data Architect/Data Engineer in AWS Cloud, using the following technologies: S3, Athena, Data Ingestion with Python and Glue, definition of data load strategies in all layers in AWS. multidimensional modeling in Redshift, Microsoft SQL Server (MDS), Multidimensional Modeling