Mario Bryan Tan
About Mario Bryan Tan
Mario Bryan Tan is a Data Engineer with extensive experience in Big Data technologies and cloud services. He has worked at Deriv since 2020 and previously held positions at Teradata, Encora Technologies, and Indra.
Work at Deriv
Mario Bryan Tan has been employed at Deriv as a Data Engineer since 2020. He works in Cyberjaya, Selangor, Malaysia, where he has accumulated four years of experience in this role. His responsibilities include leveraging Big Data technologies and cloud services to manage and analyze large datasets, contributing to the company's data-driven initiatives.
Education and Expertise
Mario holds a Bachelor's Degree in Electronics and Communications Engineering from the Technological University of the Philippines, which he completed from 2007 to 2012. His educational background provides a solid foundation for his expertise in data engineering and analytics. He is proficient in various programming and scripting languages, including Python, Airflow, and shell scripting.
Background in Data Engineering
Mario has extensive experience in data warehousing and integration. He worked as a Technical Consultant at Teradata from 2013 to 2015 in the Philippines, followed by a role as a Teradata Developer at Encora Technologies Sdn Bhd from 2017 to 2019 in Petaling Jaya, Selangor, Malaysia. Additionally, he served as an ETL Developer at Indra from 2015 to 2017 in the National Capital Region, Philippines.
Big Data and Cloud Technologies
Mario is experienced in Big Data technologies, particularly using the Hadoop stack, which includes HDFS, Hive, and Oozie. He is also skilled in AWS Compute and Storage services, such as Lambda, S3, EC2, and Batch. His expertise extends to AWS Analytics and Database services, including Redshift, Athena, and Glue, which are essential for modern data engineering tasks.
Data Integration Tools Proficiency
Mario has worked with various data integration tools, enhancing his capabilities in data management. His experience includes using Pentaho, Talend, SAS DI, and Oracle DI, which are critical for effective data processing and integration in diverse environments.