Nicolas Alonso

• • Enhanced the data transformation layer by refining models, improving logic, and tightening data quality, resulting in cleaner and more trustworthy datasets for downstream teams.

• • Strengthened overall workflow performance by simplifying processes, and contributing to smoother coordination between ingestion, transformation, and delivery stages

• • Design, build, and maintain robust and scalable data pipelines to support a critical medtech application.

• • Leverage cloud-based ETL tools to ingest, transform, and load data from various sources into a data warehouse.

• • Implement data quality checks and monitoring to ensure data accuracy and reliability.

• • Designed and implemented automated data pipelines for data extraction, transformation, and analysis.

• • Increased data accessibility and efficiency by automating data pipelines and reports.