Tito Henao
About Tito Henao
Tito Henao is a Data Engineer at Coterra Energy in Houston, Texas, with expertise in Fiber Optics and experience in developing data solutions for various sectors. He holds a Master's degree in Engineering from the University of Oklahoma and has specialized in Artificial Intelligence and Machine Learning through Coursera.
Work at Coterra Energy
Tito Henao has been employed as a Data Engineer at Coterra Energy since 2022. He operates from Houston, Texas, where he contributes to various data engineering projects. His role involves developing business intelligence solutions that enhance data exploration and analysis capabilities. Henao utilizes his expertise in Fiber Optics, particularly in Distributed Acoustic Sensing (DAS) and Distributed Temperature Sensing (DTS), to provide subject matter expertise in his current position.
Education and Expertise
Tito Henao studied at the University of Oklahoma, where he earned a Master of Science in Engineering from 2014 to 2017. He furthered his education through Coursera, completing a Machine Learning Specialization in Artificial Intelligence from 2021 to 2022. Henao's educational background equips him with a strong foundation in data engineering and machine learning, which he applies in his professional roles.
Background
Before joining Coterra Energy, Tito Henao worked at Halliburton in various capacities. He served as a Data Analyst from 2017 to 2019 and then transitioned to a Data Engineer role from 2019 to 2021. He was promoted to Senior Data Engineer, where he worked until 2022. Henao also gained experience as a Graduate Research Assistant at the University of Oklahoma from 2014 to 2017, contributing to academic research projects.
Technical Skills and Tools
Tito Henao employs a range of technical skills in his work. He utilizes PowerShell scripts for server management tasks, including backups and deployments. Henao is proficient in Python, which he uses for data exploration, validation, and monitoring throughout the development, testing, and production pipeline. His work primarily focuses on developing data solutions for the accounting and engineering sectors, including production and geoscience.