Juan Granillo

Completed an intensive 2-month data engineering training program with hands-on client project experience. Gained practical knowledge in building scalable data solutions using technologies such as Apache Spark, Hadoop, and MapReduce. Training also covered cloud architecture and data processing workflows across AWS, GCP, and Azure platforms.
Key skills include:

• Designing and implementing end-to-end big data pipelines
• Working with cloud-based data warehousing solutions
• Performing ETL operations and managing large-scale data systems using Hadoop

Completed training focused on test automation and software development best practices. Gained practical experience using Selenium for automated testing, along with AWS for cloud-based deployment. The program emphasized Java and object-oriented programming principles, as well as version control with Git, test management using JUnit, and continuous integration with Jenkins.

Key skills include:

• Writing and maintaining automated test scripts with Selenium
• Applying Java OOP concepts to build modular and maintainable code
• Utilizing Git for version control in collaborative environments
• Integrating test suites with Jenkins for continuous integration and delivery