Sam Matias

• Monitoring the real-time data pipeline using Google Cloud Platform (GCP) and Datadog to ensure continuous data flow and quickly detect any issues. • Ensure all automated processes (pipelines) are functioning correctly. • Set up alerts and notifications for database performance, server utilization, and memory usage in GCP using Datadog. • Create pull requests for requested changes across development (dev), pre-production (preprod), and production (prod) environments. • Set up and managed CI/CD pipelines using Terraform to implement infrastructure as code. • Coordinate with the infrastructure team and database administrators for development tasks and server maintenance. • Execute the change by using Bitbucket to merge the pull request across the development (dev), pre-production (preprod), and production (prod) environments. • Create subscriptions, topics, and tables in BigQuery within the Google Cloud Platform (GCP) using Terraform. • Load the initial data into new tables in BigQuery and PostgreSQL databases to set them up for use. • Validating the pull request and ensuring that i