Automate, Ingest, and Validate Event Data

Transform your data infrastructure with automated event processing and rigorous compliance validation. This course empowers data professionals to build robust, real-time data pipelines that seamlessly ingest streaming events while ensuring bulletproof tracking plan compliance. You'll master configuring ETL tools like Airflow for automated Mixpanel event ingestion into Snowflake, setting up continuous data flows from message queues, and implementing systematic schema validation processes that catch discrepancies before they impact business decisions. Learn to deploy monitoring systems that maintain data integrity across mobile and web platforms, automate compliance auditing workflows, and create feedback loops that ensure your event data remains trustworthy and actionable. This course bridges the critical gap between data engineering and quality assurance, giving you the skills to operationalize analytics infrastructure that scales with confidence

• Build automated ETL pipelines for continuous, reliable streaming data flow
• Validate data compliance by matching implementation to predefined specs
• Configure real-time processing sources and targets effectively
• Implement proactive compliance auditing for data quality assurance

• Basic familiarity with relevant concepts and terminology
• Readiness to practice through applied exercises or case work