Keegan Ferrando
About Keegan Ferrando
Keegan Ferrando is a Senior Site Reliability Engineer specializing in scalable data processing using Kubernetes. He has extensive experience in site reliability and operations engineering, having worked for notable companies such as Mozilla and Backcountry.com.
Work at Tatari
Keegan Ferrando has been employed at Tatari as a Senior Site Reliability Engineer since 2021. In this role, he focuses on ensuring the reliability and scalability of data processing jobs, leveraging Kubernetes (EKS) for deployment. His responsibilities include monitoring system performance and health using Datadog metrics, dashboards, and monitors. He also employs GitHub Actions and Argo CD to facilitate reliable code deployments.
Previous Experience
Before joining Tatari, Keegan Ferrando held several significant positions in the tech industry. He worked at Mozilla as a Staff Site Reliability Engineer from 2019 to 2020 and as a Senior Incident Response Engineer from 2016 to 2019. Prior to his tenure at Mozilla, he served as a Senior Operations Tooling Engineer - Team Lead at Backcountry.com from 2015 to 2016. His earlier roles include Senior Infrastructure Engineer at MotoSport, Inc. from 2009 to 2015 and NOC Engineer II at XO Interactive from 2005 to 2010.
Education and Expertise
Keegan Ferrando studied at Portland Community College, where he earned an Associate of Science degree in Computer Science from 2001 to 2004. His educational background has equipped him with the skills necessary for his current role in site reliability engineering. He specializes in running highly scalable data processing jobs and utilizes tools such as Apache Airflow for managing complex workflows and AWS Glue and Databricks for working with Data/Delta lakes.
Technical Skills
Keegan Ferrando possesses a range of technical skills relevant to his role as a Senior Site Reliability Engineer. He utilizes Kubernetes (EKS) for orchestrating containerized applications and employs GitHub Actions and Argo CD for continuous integration and deployment. His expertise extends to data warehousing, where he manages ETL storage in PostgreSQL (Aurora) and utilizes Redshift. Additionally, he monitors system performance using Datadog and manages complex workflows with Apache Airflow.