Moises Pirela

Contributing to the development, testing, and support of data platforms and ETL pipelines for analytics and business decision-making. Developed and automated data quality testing using pytest and supported AWS cloud infrastructure using Terraform.

Manipulated and prepared retail data to establish patterns for short-term commercial strategy improvements. Managed ETL tools and database engines, resolved data incidents, and supported team management.

Designed and optimized ETL data processes and developed experiments and alternative model evaluations. Applied data wrangling and munging, and created interactive visualizations with Power BI and Tableau.

Designed and optimized ETL data processes and developed experiments and alternative model evaluations. Manipulated and prepared retail data to establish patterns for short-term commercial strategy improvements.

Led projects for reservoir exploitation strategies, focusing on condensates and reducing retrograde condensation impact. Participated in reserves certification and quantification by correlating data from wells, fluids, and water.

Completed the Google Cloud Certified - Cloud Digital Leader certification in September 2025.

Completed the Data Engineering course in January 2024.

Completed the AWS Certified Cloud Practitioner certification in June 2023.

Completed The Elements of Data Science course in September 2020.

Completed the Estructura de Datos en Python course in October 2020.

Completed the Advanced Google Analytics course in October 2020.

MSc. in Geochemistry from the Facultad de Ciencias de la Universidad Central de Venezuela, Caracas, Venezuela, from 2014 to 2017.

MSc. in Reservoir Characterization and Exploitation from the Universidad Venezolana de los Hidrocarburos, Miranda, Venezuela, from 2011 to 2013.

BSc. in Geochemistry from the Facultad de Ciencias de la Universidad Central de Venezuela, Caracas, Venezuela, from 1998 to 2004.