This paper explores the importance of data privacy and ethical considerations in database management, emphasizing the role of database administrators (DBAs) in ensuring data security and integrity. The authors propose best practices for DBAs, including data minimization, anonymization, pseudonymization, encryption, access controls, and transparent communication with stakeholders. A case study using a synthetic healthcare dataset demonstrates the application of these practices, highlighting improvements in data security and privacy while acknowledging performance trade-offs. The study underscores the need for a comprehensive approach to address data protection challenges and provides valuable insights for future research and developments in this field. Key ethical considerations discussed include the right to be forgotten, data minimization, re-identification risk, data utility vs. privacy, informed consent, transparency, and accountability. The paper also reviews relevant literature and regulatory frameworks, such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), to provide a robust foundation for understanding the complexities of data privacy and ethical considerations in database management.This paper explores the importance of data privacy and ethical considerations in database management, emphasizing the role of database administrators (DBAs) in ensuring data security and integrity. The authors propose best practices for DBAs, including data minimization, anonymization, pseudonymization, encryption, access controls, and transparent communication with stakeholders. A case study using a synthetic healthcare dataset demonstrates the application of these practices, highlighting improvements in data security and privacy while acknowledging performance trade-offs. The study underscores the need for a comprehensive approach to address data protection challenges and provides valuable insights for future research and developments in this field. Key ethical considerations discussed include the right to be forgotten, data minimization, re-identification risk, data utility vs. privacy, informed consent, transparency, and accountability. The paper also reviews relevant literature and regulatory frameworks, such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), to provide a robust foundation for understanding the complexities of data privacy and ethical considerations in database management.