Ing. Gustavo Ieong

- Develop pipelines in Data Factory for data extraction, loading, transformation (ELT) and integration into the data lake. - Develop Python processes on Databricks to reduce the execution time and costs of data lake tasks.

- Develop pipelines for data extraction, loading, transformation (ELT) and integration into the data lake using PySpark. - Develop Hadoop components for big data architecture.

- Develop pipelines for data extraction, transformation and loading (ETL) using Python. - Develop visualization dashboards using Power BI.

- Design and deploy cloud architecture for big data solutions. - Participate in the Data Governance project for the mining industry using the DAMA framework that allows the data resource management (DRM) and information resource management (IRM). - Definition and develop a predictive model with machine learning.

• Participate in the SOA Architecture and government project for the financial sector, which allows defining the infrastructure and technological standards, and adopting the Service Oriented Architecture (SOA) to expedite the delivery of value to the business and manage the services throughout its life cycle. • Prepare commercial proposals for the sale of consulting services.