Juan Cruz Opizzi

A passionate and results-driven data engineer specializing in leveraging data lakes to design and develop robust data warehouses. My expertise lies in architecting scalable solutions using MongoDB as the preferred database, combined with powerful ETL (Extract, Transform, Load) processes on the AWS platform.

• Developed data infraestructure and ETL pipelines, including ingestion, transformation and loading data to Data

Warehouse for data exploitation.

• Using modern data stack technologies such as AWS S3 and Google Cloud Platform for Data Lakes and AWS

Lambda for ETL Transformation and Apache Airflow for data pipeline.

• Using Docker to containerize data applications on Cloud.
• Python and MongoDB as main languages to create and maintain Data Pipelines.
• Creation of data libraries to automate repetitive processes when working with data.
• Using Beautiful Soup and Regex for HTML parsing.
• Collaborated with cross-functional teams, including Business Intelligence and DBA, to build robust data and analysis solutions that meet business needs and goals.
• Maintained and updated data pipelines and data warehouses to ensure data quality and system availability.
• Developed APIs to improve internal processes.
• Using OpenCV for improve machine learning models in image recognition.

Universidad de Buenos Aires

Computer Engineering / Bachelor of Computer Science

CABA, Argentina

2015 – Present (Expected graduation date: 2023)