
Modern organizations are currently drowning in a sea of architectural debt as the sheer volume of information generated by decentralized systems outpaces the human capacity to manage it effectively. Data engineering teams find themselves in a persistent state of crisis, spending the majority of their professional lives repairing broken pipelines and managing manual schema updates. Despite the presence of high-speed










