Building Self-Service Data Platforms

Explore the comprehensive approach to building self-service data platforms through this 28-minute conference talk from Conf42 Platform Engineering 2025. Learn about modern data platform challenges and discover how to implement metadata-driven pipeline architecture that enables teams to manage their own data workflows. Understand the integration of platform engineering principles with data infrastructure, including the implementation of CI/CD and DevOps practices for data pipelines. Examine cloud-native API integration strategies and discover how Apache Airflow and Python can be leveraged for scalable data orchestration. Master Infrastructure as Code approaches specifically designed for ETL development, ensuring reproducible and maintainable data processing environments. Develop expertise in data quality frameworks and testing strategies that ensure reliable data pipelines. Implement comprehensive monitoring and observability standards that provide visibility into data platform performance and health. Address critical governance and compliance requirements while maintaining the flexibility of self-service capabilities. Gain insights into database technologies, automation strategies, and cloud-based solutions that form the foundation of modern data platforms. Learn from real-world experience in data handling, governance, and team management to build platforms that empower data teams while maintaining enterprise-grade reliability and security standards.