Senior Data Engineer for the Business Intelligence.- Leading Data Pipeline Development: Development and management of advanced data pipelines using Airflow, ensuring the delivery of high-quality data for critical reporting and analytical tasks.- Innovating Data Warehouse Solutions: Proposal, development, and implementation of enhancements to our Data Warehouse, utilizing a blend of SQL, Python, and AWS technologies (Redshift, S3, Glue).- Framework Creation for Analytics: Developed a comprehensive self-service analytics engineering framework for the BI team, integrating solutions with GitHub, CircleCI, S3, and Airflow, empowering analysts to independently create models and reduce the need for engineering intervention.- Actively mentor fellow engineers, sharing knowledge in areas such as data pipelining, warehousing, and innovative data solutions.

Data Engineer for the Business Intelligence team.- Work with data pipelines in Airflow to provide accurate data used for reporting and analysis.- Propose, develop and implement solutions to enhance or provide maintenance to the Data Warehouse. These activities involve the usage of SQL, Python and several AWS services such as Redshift, S3, and Glue.

BDMA is a two-year Masters programme favoring the integration of students into a network of specialists and researchers in Business Intelligence (BI) and Big Data (BD). In addition to the fundamental knowledge acquired in BI and BD, the specialisation in “Business Process Analytics” at TU/e offers the bridge between data mining and business processes modelling and analysis.

Project Manager for Model Coverage Verification- 3 software deliveries managing teams of 5 to 10 people. - Coordinated team activities. Effective communication was essential to assign tasks and monitor the progress of individual contributors.- Managed tasks together with team leaders in Mexico and USA. The status meetings increased my presentation skills and time management.Software Certification Engineer for commercial engines- Defined schedule for software releases.- Wrote documents for certification. Collaboration with different areas was essential to make sure their processes were correctly documented.- Identified areas of improvement for certification. Process analysis and communication were crucial to identify the best opportunities for improvement.Software Verification Engineer- 8 software deliveries. Good teamwork and accountability were required to make sure the deadlines were met.- Performed Model Coverage Analysis. Prepared and provided training to new team members.- Implemented tools that increased team efficiency. Together with other tools developed by team members, the touch time was reduced by 20%.

Developed software applications that helped visualize data in an organized and clear interface. The applications contributed to the systematization of processes.Developed an application that reduced report generation time by 80%.