Some of the main activities I have been involved in are:• Lead data projects• Manage Data Servicing and Data Processing team projects (Real Time & Batch)• Design and manage end-to-end (E2E) data projects.• Plan and supervise team tasks to ensure objectives and deadlines are met.• Create new data-driven initiatives• Align architectural solutions with business requirements to optimize performance.• Acquire and utilize data, build ETLs, and automate processes.Stack & Tools: Python, SQL, Scala, Apache (Airflow, Kafka, Hadoop, Spark), Clickhouse, AWS (S3, Redshift, RDS, DynamoDB, ECS, Fargate, Batch, EMR, Kinesis, MSK), Atlassian, FastAPI, Docker, Git, PowerBI

Some of the main activities I have been involved in are:• As a Senior Data Engineer, I directed and coordinated data servicing projects, and in my role as Team Lead, I managed a team of 3-4 consultants from a functional perspective, ensuring high-quality delivery and effective collaboration.• Developed and maintained scalable architectures in batch environments, optimizing data flow and system reliability.

Some of the main activities I have been involved in are:• Acquisition and use of data, construction of ETLs and automation of them in batch enviroments. • APIs development and deployment.• SQL Data extractions.

Some of the main activities I have been involved in are:• Automated Machine Learning Tool using AWS Cloud and Python at I+D+i• Development of regulatory models for Loss Given Default (LGD) using Rstudio at a major banking institution

At CEIEC Research Institute. Work with Artificial Intelligence and Machine Learning techniques (specifically prototyping with Neural Networks and Deep Learning models) for the elaboration of predictive and classification/clustering models in research projects in collaboration with other faculties of the University or external companies.Main research on the creation of a Rule-based system (hierarchical models) based on a neural model (MLP) for the prediction of successful aneurysm operations with the aim of improving the detection of this pathology.

Promotion of the Industrial Systems Engineering and Computer Engineering degrees to potential new students. Doing market and competitor analysis (CRM), college visits and speeches to parents and new students, daily calls and emails with interested students.