Luis Jesús Díaz Manzo
About Luis Jesús Díaz Manzo
Luis Jesús Díaz Manzo is a Líder Técnico en Cloud at Devo, where he has worked since 2018. He has a background in IT operations and data analysis, with experience in optimizing system performance and developing automation tools.
Work at Devo
Luis Jesús Díaz Manzo has been serving as Líder Técnico en Cloud at Devo since 2018. In this role, he focuses on cloud technologies and oversees various technical initiatives. His contributions include maintaining health check scripts for platform components, which incorporate messaging app notifications and error retry implementations. He has also played a significant role in optimizing syslog event processing code, achieving a 40% performance increase through benchmarking and optimization.
Previous Experience at Qualia Analytics
Before joining Devo, Luis worked at Qualia Analytics as Gerente de Operaciones Técnicas from 2016 to 2018. During his tenure, he contributed to the migration to Docker containers and integrated debugging tools with Visual Studio Code. His efforts in this position enhanced the operational efficiency of the technical team and improved the overall performance of the company's IT infrastructure.
Background in Data Analysis
Luis has experience as an Analista de datos, working autonomously from 2015 to 2016. This role involved data analysis tasks that contributed to his technical skill set. His analytical background supports his current responsibilities in cloud technology and operational management.
Education and Expertise
Luis holds a degree in Ingeniería Química from Universidad Simón Bolívar, where he studied from 2007 to 2015. His academic background provides a strong foundation for his technical expertise. Additionally, he has developed a Python module for automated processing of configurable table deletion rules in ISO8601 duration format, showcasing his programming skills and technical knowledge.
Documentation and Process Improvement
Throughout his career, Luis has authored detailed process documentation for Docker, Python, and Bash operations, which has been published on Confluence. This documentation serves as a valuable resource for team members and contributes to knowledge sharing within the organization.