Chiper, a leader in the digitalization of retail in Latin America, has significantly enhanced its data orchestration and MLOps capabilities by integrating Apache Airflow® and Astronomer's platform. This integration has allowed Chiper to efficiently manage workflows and automate tasks, improving resource utilization and scalability. The use of Airflow's Directed Acyclic Graphs (DAGs) has transformed cronjob orchestration, and the integration with Jenkins and SonarQube has streamlined the CI/CD pipeline, ensuring robust code quality. By incorporating Vertex AI and deploying multiple Airflow instances through Astronomer, Chiper has optimized machine learning tasks and maintained distinct development and production environments. The strategic use of these technologies has resulted in improved inventory management, distribution, and pricing strategies, ultimately driving business growth and enhancing customer satisfaction. Real-time monitoring with Slack integration further supports operational reliability, setting a new standard in data orchestration and machine learning within the retail sector.