DEA-C01: AWS Certified Data Engineer - Associate

This track guides you through building robust, scalable data pipelines on AWS. Explore key concepts in batch and streaming data ingestion, ETL pipeline optimization, workflow orchestration, CI/CD practices, real-time data processing, and hybrid cloud integration. You will also gain knowledge of leading AWS services, best practices for cost management and security, and advanced techniques for workflow automation and real-time analytics, preparing you for modern data engineering challenges.

This track series provides a comprehensive exploration of AWS data storage, management, and analytics. You will master core AWS services, data cataloging, automation workflows, and enterprise-scale architectures, gaining hands-on expertise in cost-efficient storage, metadata management, schema evolution, and cross-account solutions for building robust, scalable, and secure data platforms in the cloud.

This track will equip you with advanced skills in AWS data engineering, covering programmatic service interaction, ETL optimization, query performance, and end-to-end observability. You will master data preparation, monitoring, troubleshooting, and the implementation of cost-effective, reliable data pipelines, all while leveraging AWS’s latest tools and best practices to drive actionable insights and continuous improvement.

This track covers essential AWS security, compliance, and data management skills. You will master IAM policies, encryption strategies, data pipeline architecture, and advanced monitoring techniques. You will also learn practical guidance for enforcing least privilege, safeguarding sensitive data, centralizing operational insights, and meeting regulatory requirements. By the end, you will be equipped to design, implement, and maintain secure, compliant AWS environments with confidence.