In the digital era where data fuels decision-making and innovation, ensuring privacy and regulatory compliance has become paramount. The Data Privacy and Compliance (GDPR, HIPAA) for Data Engineers Training Course equips technical professionals with the knowledge and practical skills needed to build, maintain, and audit data infrastructure that complies with global privacy laws and standards. This 10-day intensive course bridges the gap between legal mandates and engineering realities, empowering data engineers to design systems that ensure privacy by design, enforce data minimization, implement access controls, and manage consent while adhering to regulations like GDPR, HIPAA, and other global data protection frameworks.

Duration: 10 Days

Target Audience

• Data Engineers
• Privacy Engineers
• Data Architects
• Compliance and Risk Analysts
• Information Security Professionals
• Cloud Engineers
• DevOps Engineers
• Data Platform Engineers

Course Objectives

• Understand the legal principles behind GDPR, HIPAA, and related frameworks
• Translate regulatory obligations into engineering requirements
• Design and implement privacy-enhancing technologies in pipelines
• Apply data minimization, pseudonymization, and anonymization techniques
• Build secure data infrastructure aligned with compliance mandates
• Ensure proper consent management and auditing mechanisms
• Implement logging, monitoring, and breach response controls
• Evaluate and document data flows and processing activities
• Use automation tools to enforce privacy compliance
• Design systems with privacy by design and by default
• Collaborate with legal and compliance teams effectively

Course Modules

Module 1: Introduction to Data Privacy Regulations

• Overview of global privacy frameworks (GDPR, HIPAA, CCPA)
• Key definitions and roles: controller, processor, DPO
• Legal basis for data processing
• Enforcement bodies and penalties
• Privacy principles that affect data engineering

Module 2: Understanding GDPR for Engineers

• Article-by-article engineering implications
• Data subject rights: access, erasure, portability
• DPIA (Data Protection Impact Assessment) process
• Lawful basis for data processing
• Records of processing activities (RoPA)

Module 3: HIPAA Compliance Essentials

• HIPAA structure: Privacy Rule, Security Rule, Breach Notification Rule
• Protected Health Information (PHI) handling requirements
• Minimum necessary principle
• Business associate agreements (BAAs)
• Security safeguards: administrative, technical, physical

Module 4: Data Flow Mapping and Documentation

• Mapping data sources, processing, and storage
• Identifying sensitive and regulated data
• Documenting data lineage and access points
• Tools for automated data discovery and classification
• Building visual data flow diagrams

Module 5: Privacy by Design for Data Engineers

• Embedding privacy into system architecture
• Minimization, separation, and abstraction
• Designing for least privilege and zero trust
• Secure defaults and opt-in mechanisms
• Integrating privacy principles into DevOps

Module 6: Data Minimization Techniques

• Strategies for reducing collected and stored data
• Aggregation and sampling methods
• Truncation, tokenization, and retention policies
• Decoupling identifiers from data
• Impact on analytics and model performance

Module 7: Pseudonymization and Anonymization

• Legal distinctions and practical use cases
• Techniques for pseudonymizing identifiers
• k-anonymity, l-diversity, and differential privacy
• Risks of re-identification
• Tools and libraries for implementation

Module 8: Secure Data Storage and Access Controls

• Encryption at rest and in transit
• Fine-grained access control (RBAC/ABAC)
• Key management practices
• Protecting metadata and logs
• Hardening data warehouses and lakes

Module 9: Consent Management and Preference Handling

• Engineering consent capture and withdrawal
• Storing consent as metadata
• Consent-aware processing and querying
• Integration with marketing and CRM systems
• User interfaces for privacy preferences

Module 10: Privacy-Aware Data Pipelines

• Designing ETL/ELT for compliance
• Redacting, masking, and filtering sensitive fields
• Managing transient vs. persistent data
• Metadata tagging for compliance tracking
• Audit logging and lineage in pipelines

Module 11: Breach Detection, Logging & Response

• Real-time monitoring and alerting frameworks
• Retention and analysis of access logs
• Data breach response workflows
• Regulatory notification timelines
• Post-breach audit and reporting

Module 12: Vendor and Third-Party Risk Management

• Managing processors and service providers
• Security questionnaires and risk assessments
• Data sharing agreements and SLAs
• Evaluating vendor compliance certifications
• Privacy risks in SaaS, IaaS, and APIs

Module 13: Automation for Privacy Compliance

• Using policy-as-code for privacy rules
• Integrating with CI/CD pipelines
• Privacy testing in staging environments
• Self-healing data workflows
• Building alerts for non-compliance

Module 14: Data Subject Rights Implementation

• Automating DSAR responses (SAR, deletion, rectification)
• Connecting data sources for holistic views
• Authentication and verification workflows
• Data export formats and channels
• Tracking and logging fulfillment timelines

Module 15: Cross-Border Data Transfers and Compliance Strategy

• Legal mechanisms for international data transfers
• Standard contractual clauses (SCCs) and adequacy decisions
• Geolocation and residency controls
• Multi-region architecture considerations
• Building a privacy compliance roadmap

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.