Marco Antonio E.

Marco Antonio E. has a diverse work experience spanning several roles and industries. Marco Antonio most recently worked at Credicorp Capital as a Tech Lead Data in the Capital Lab, where they participated in IT committee meetings, proposed new solutions, and effectively communicated design concepts. Prior to that, they were a Data Engineer in the same department, responsible for analyzing, designing, and developing data processing solutions using Azure. Before joining Credicorp Capital, they worked as a Solutions Consultant - Data Engineer at Arkano Software, where they prepared budgets, put together architecture, and implemented projects for clients in the pharmaceutical and mining sectors. Marco Antonio also has experience as an Independent Software Developer and Consultant, Solutions Analyst at NTT DATA Services, Analista ETL at IT DATA CONSULTING SAC, Analista Programador at CSTI Corp and Analista de sistemas de TI at OFISIS and cgi. In these roles, they participated in analyzing, developing, and implementing various projects using a variety of platforms and development languages.

Marco Antonio E. completed their education history as follows:

- From 2006 to 2011, they attended CIBERTEC and obtained a degree in Computing and Informatics.

- In 2023, they attended the Big Data Academy for a short course in Spark & Scala with Databricks.

- Also in 2023, they attended Smart Data Consulting for a course in Estrategia de Gobierno de Datos.

- From 2022 to 2023, they pursued a specialization in Finance at Equilibrium Financiero.

- In 2021, they took a brief course in Big Data at Usil Onlife.

- In 2020, they completed a specialization in Data Analysis with Python at Data Science Research Perú.

- In 2021, they attended Big Data Academy again, this time for a course in Big Data & Machine Learning Multi-Cloud.

Additionally, Marco Antonio E. obtained several certifications throughout their career including the Microsoft Certified: Data Analyst Associate from Microsoft, the Academy Accreditation - Databricks Lakehouse Fundamentals from Databricks, and the Programa de Especialización Big Data & Machine Learning Multi-Cloud from Big Data Academy, among others.