Practical and theoretical Data & Analytics study track with Python, SQL, Linux, Git, Docker, among other cloud technologies focused on AWS services. During the internship, I learned how to perform data extraction services with Python, Docker, Spark, manipulation with AWS Athena, Lambda, Glue and S3 and visualization with AWS Quicksight. The resulting files and data were gradually added to a GitHub repository using the Git versioning tool. In addition, I had theoretical and practical classes on Hadoop, Linux, Agile Methodologies (Kanban, SCRUM, SMART, tools such as Trello), various AWS services such as EC2, Amazon IoT and Big Data concepts (creation and maintenance of data lakes and data warehouses). Daily meetings were held following the SCRUM methodology.