Engineering resilient data architectures for regulated domains: From ETL to remediation

As security regulations increase in the digital world, making data architectures resilient helps companies stay in compliance, more reliable and functioning continually. This article examines the construction of strong data systems that are suitable for the healthcare, finance and insurance industries. It then explains the main obstacles for these sectors, for example, many rules to follow and the need to keep data flowing smoothly. Next, we look at what compliance-driven architecture involves, the best way to build a secure ETL/ETL pipeline and how to automate the process for identifying and fixing problems. Great importance is given to maintaining data security, ensuring privacy and managing full observability. An actual case study from healthcare describes how the methods provide HIPAA compliance by ensuring strong ETL design and automatic solutions for troubleshooting. To finish, the article gives recommendations and highlights upcoming trends such as using AI for compliance and new ways of managing serverless pipelines. The goal of this work is to direct data architects, engineers and leaders in compliance toward creating data infrastructures that can face technical troubles and new regulations.