I was part of a Datalake, and I was responsible for creating and maintaining several day-to-day routines with Data Engineering and backend Software Development.- Development of pipelines with Airflow.- Development of Python scripts for Automations.- Manipulation of sensitive data using Python, PySpark, PostgresSQL, MySQL, SQL Server, BigQuery, Spanner and etc...- Development of API with Flask.- Deploy pipelines with Kubernetes and Azure DevOps

The internship had the rotation model between the areas every 3 months. So, I went through the following teams:- Software Development (Java, Kotlin and Python) Development of an application that would test all of our team's applications and verify that it was working correctly.- DevOps (Google Cloud Platform, Kubernetes, Azure DevOps, Terraform, Ansible)Development of a CI/CD Pipeline using Kubernetes and Azure DevOps.- Information Security (Phising, SonarQube)Inclusion of a code verification step using SonarQube in all commits that were made in the company's code repository.- Data Engineering (Python, SQL, PySpark, Pandas, BigQuery, Airflow) - Duration of 10 months in this area.Development of pipelines using AirFlow.