Leonardo Silva Email and Phone Number

Over the course of my career, I have gained valuable experience in developing data pipelines using various Google Cloud Services such as Dataproc, Bigquery, Storage and Dataform. I have also demonstrated proficiency in creating comprehensive documentation that encompasses architecture details, data sources and structures, coding practices, testing procedures and business rule.I have had a variety of experiences with many different roles in the data engineering field. From my time at CI&T as an Intern Data Engineer to position as a Junior Data Engineer at CI&T, I have gained hands-on experience in data modeling development, engineered PySpark scripts to automate ETL processes resulting in significant time savings, developed data pipelines using AWS services like S3, Glue, DynamoDB, and Redshift. Additionally, I have established and maintained SQL queries for analysis and data extraction across diverse databases such as Postgres, Redshift, and BigQuery. Furthermore, I have utilized Terraform for AWS environments (Glue, DynamoDB) and implemented Docker configurations for web scraping.One of my most relevant experiences is during my time as a Junior Data Engineer at CI&T where I collaborated with a dynamic team to create a dimensional model, ensuring optimal data representation. This experience taught me the importance of designing efficient data models that enable effective analysis while maintaining scalability. By applying my knowledge of data modeling and engineering, I was able to contribute to the development of a robust and scalable data infrastructure.