Cloud computing is at the core of all digital ecosystems and allows industries such as healthcare, finance, smart cities, and education to seamlessly provide and use services and store and process data. Despite the ability for more centralization of management, the data management centralization can cause concern for confidentiality, trust, privacy among stakeholders, and more. Regulations and the increase of cloud data breaches have led to the more demand for data management. While more research is being done with data control within the cloud, many solutions focus mostly on either blockchain and trust or privacy preservation alone. The real-world integration of both solutions is more lacking. Prior research is also limited due to the lack of real-world integration of the cloud and the performance measures of the cloud. This paper integrates both blockchain and anonymization-based cloud security and focuses on access control, integrity and privacy of the data that is processed. The model leverages smart contracts of blockchain for access control and immutable integrity to store data in the cloud and ensures that the either vanilla or sensitive data is anonymized for the cloud. The model is meant to integrate with real-world cloud systems. Adaptable model is operational in a cloud space, utilizing a permissioned blockchain network along with object storage facilities. Experimental assessments showcase enhanced resilience against attacks, minimized diffusions of privacy, and dependable integrity confirmation with little increased costs of computation. The findings substantiate the practical and successful application of the proposed method in the domain of privacy-preserving and secure cloud computing.