Senior Data Engineer (Aws)
Current* Engineering of data pipelines that feed the Data Lake from different internal and external sources* Contributed to create a collaborative transformation layer where Business Analyst can manage the logic that drives each pipeline* Created and fine tuned of Spark jobs, including AWS EMR and Glue, SQL queries (Spark SQL and Redshift), Scala and Python code, using functional programming approach* Worked on the Data API that allows clients to run data extracts for the datasets they are assigned to* Creation of a service that runs many queries in parallel using AWS Batch. Performs data quality checks, encrypts the files and uploads them to SFTPTechnologiesAWS EMR, AWS Glue, AWS S3, AWS DynamoDB, Airflow, dbt, AWS Redshift, AWS Lambda, AWS Cloudwatch, Terraform, Python, Scala, AWS Neptune, AWS Opensearch, AWS Batch, Docker, AWS Secret Manager, AWS CodeBuild, Jenkins, AWS Quicksight