A tailored course, built for your situation
Mastering PCI DSS for Web and ETL Developers in Financial Services
Build compliant data pipelines that stand up to scrutiny and scale with confidence
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Who this is for
Mid-seniority developer in financial services building or maintaining ETL pipelines that handle cardholder data or support regulated transactions, seeking to increase technical influence and cross-functional recognition
Who this is not for
Entry-level coders, non-technical compliance staff, or consultants selling audits , this is for builders who own pipeline logic and want it recognized as strategic
What you walk away with
- Produce ETL documentation that passes PCI DSS scoping reviews without rework
- Anticipate control expectations during design phase, reducing late-cycle changes
- Position yourself as the go-to developer for compliance-aligned data architecture
- Gain confidence in explaining pipeline controls to risk and audit teams
- Create reusable templates that accelerate future project onboarding
The 12 modules (with all 144 chapters)
Module 1. Understanding PCI DSS Scoping for Data Pipeline Design
Learn how payment data flows determine PCI scope and where ETL systems sit inside the compliance boundary. This module shows how to map source-to-target flows accurately, identify cardholder data touchpoints, and avoid over- or under-scoping your pipeline’s compliance footprint.
12 chapters in this module
- How PCI DSS defines cardholder data environments
- Data flow mapping techniques for ETL systems
- Boundary setting between in-scope and out-of-scope systems
- Identifying primary account numbers in semi-structured data
- Tokenization impacts on ETL transformation logic
- Safe handling of truncated card data in logs
- Common scoping errors in cloud data warehouses
- How masking affects downstream reporting accuracy
- Tracking data lineage for compliance validation
- Documenting data flows for auditor review
- Integrating data classification tags into pipeline metadata
- Using tagging to automate compliance boundary checks
Module 2. Secure Data Transfer Protocols in ETL Workflows
Implement encrypted data movement across stages of your pipeline using standards-aligned methods. This module breaks down secure transfer requirements, focusing on how developers can meet them without sacrificing performance or maintainability.
12 chapters in this module
- TLS configuration best practices for data connectors
- Validating certificate chains in staging environments
- Securing SFTP transfers in automated jobs
- Using managed file transfer services securely
- Avoiding hardcoded credentials in transfer scripts
- Configuring secure API gateways for push-pull patterns
- Handling certificate rotation in long-running pipelines
- Enforcing encryption in transit for cloud-native services
- Monitoring for unsecured transfer attempts
- Auditing connection logs for policy compliance
- Encrypting data payloads before external handoff
- Designing retry logic without compromising security
Module 3. Authentication and Access Controls for Pipeline Jobs
Ensure only authorized processes and users trigger or modify ETL jobs. This module covers identity patterns that meet PCI DSS 8 and 10, with a focus on automated job authentication and secrets management.
12 chapters in this module
- Role-based access control for scheduler users
- Service account provisioning for batch jobs
- Multi-factor authentication for admin access
- Secrets management using vault-integrated pipelines
- Credential rotation strategies without job failure
- Logging access attempts for forensic review
- Principle of least privilege in pipeline permissions
- Isolating test and production job credentials
- Using short-lived tokens for dynamic access
- Auditing changes to job ownership and triggers
- Detecting unauthorized job modifications
- Securing orchestration UIs from public exposure
Module 4. Logging and Monitoring for Compliance Validation
Build comprehensive logging into your pipelines so every data movement is traceable. This module shows how to structure logs to satisfy PCI DSS 10 and support audit investigations.
12 chapters in this module
- Identifying required events for compliance logging
- Capturing user and system actions in ETL jobs
- Timestamp synchronization across distributed systems
- Storing logs in immutable, access-controlled locations
- Retention policies aligned with PCI requirements
- Automating log rotation and archival
- Monitoring for failed login attempts
- Alerting on unusual pipeline execution times
- Correlating logs across source and target systems
- Preparing log excerpts for auditor requests
- Masking sensitive fields in log output
- Using log signatures to prevent tampering
Module 5. Data Masking and Tokenization in Transformation Layers
Apply privacy-preserving techniques within ETL logic to reduce risk exposure. This module details how to implement masking and tokenization that meet compliance while preserving data utility.
12 chapters in this module
- Determining which fields require masking
- Static data masking techniques for test environments
- Dynamic masking in query results
- Tokenization system integration patterns
- Mapping tokens back to real values securely
- Validating masking effectiveness post-transformation
- Handling masked data in analytics outputs
- Avoiding re-identification through inference
- Documenting masking logic for audit review
- Testing recovery procedures for token stores
- Managing token vault availability
- Detecting anomalies in token request patterns
Module 6. Vulnerability Management for ETL Infrastructure
Keep pipeline dependencies and platforms patched and secure. This module focuses on scanning, prioritizing, and remediating vulnerabilities in data integration environments.
12 chapters in this module
- Scanning container images for known vulnerabilities
- Tracking CVE exposure in pipeline libraries
- Prioritizing patches based on data sensitivity
- Scheduling maintenance windows for updates
- Validating pipeline stability after patching
- Using immutable infrastructure to enforce updates
- Automating dependency version checks
- Monitoring third-party component risks
- Hardening OS and runtime environments
- Documenting exception cases for unpatched systems
- Reporting vulnerability status to security teams
- Integrating scanning into CI/CD pipelines
Module 7. Penetration Testing and ETL System Exposure
Prepare pipeline interfaces for external assessments. This module explains how penetration testers evaluate data systems and how to anticipate findings specific to ETL architectures.
12 chapters in this module
- Identifying attack surfaces in data pipelines
- Securing orchestration APIs from public access
- Validating input sanitization in data loaders
- Preventing SQL injection in dynamic queries
- Hardening web interfaces for job monitoring
- Reviewing access logs after test cycles
- Responding to findings without panic
- Differentiating real risk from false positives
- Coordinating with internal red teams
- Documenting compensating controls
- Updating firewall rules to reflect test results
- Scheduling retests after remediation
Module 8. Change and Configuration Management for Audit Readiness
Implement version control and approval workflows that satisfy PCI DSS 6 and 10. This module shows how to structure changes so they are traceable, reversible, and defensible.
12 chapters in this module
- Using Git for pipeline code versioning
- Branching strategies for test and production
- Code review requirements for security changes
- Automated testing for configuration updates
- Tracking change approvals in ticketing systems
- Enforcing separation of duties in deployments
- Rollback procedures for failed updates
- Documenting emergency change protocols
- Auditing configuration drift
- Maintaining build integrity with checksums
- Integrating deployment logs with SIEM
- Reporting change velocity to risk teams
Module 9. Building Self-Validating Pipeline Artefacts
Design data workflows that generate compliance evidence automatically. This module teaches how to bake validation into code so auditors see consistency and control.
12 chapters in this module
- Embedding control checks in transformation logic
- Automating data completeness verification
- Validating encryption status before loading
- Checking for unexpected nulls or outliers
- Generating attestation logs for each run
- Signing output files with job identifiers
- Comparing hash values across pipeline stages
- Flagging records that bypass masking rules
- Producing summary reports for reviewers
- Alerting on configuration mismatch
- Timestamping outputs for chain-of-custody
- Integrating validation results into dashboards
Module 10. Integrating with Enterprise Risk and Audit Functions
Speak the language of compliance reviewers and risk managers. This module builds communication bridges between development and oversight teams.
12 chapters in this module
- Translating technical decisions into control language
- Mapping pipeline components to PCI requirements
- Preparing for auditor walkthroughs
- Responding to evidence requests efficiently
- Documenting compensating controls clearly
- Using standard templates for control descriptions
- Aligning with SOX and other compliance efforts
- Participating in risk assessment meetings
- Clarifying roles in shared responsibility models
- Escalating conflicts with policy wording
- Tracking open items with resolution timelines
- Building trust through consistency over time
Module 11. Optimizing Pipeline Performance Under Compliance Constraints
Maintain speed and efficiency without sacrificing security. This module addresses performance trade-offs and tuning strategies for regulated data flows.
12 chapters in this module
- Balancing encryption overhead and throughput
- Tuning batch sizes for latency and reliability
- Using partitioning to speed up validation
- Caching strategies without data exposure
- Compressing data securely in transit
- Indexing encrypted fields effectively
- Predicting load under peak conditions
- Scaling workers without privilege creep
- Monitoring job memory usage
- Reducing retry storms after failures
- Optimizing transformation logic for speed
- Benchmarking performance across environments
Module 12. Scaling Compliant Patterns Across Projects
Reuse proven designs across new initiatives. This module helps you create templates and guardrails that speed up future development while ensuring consistency.
12 chapters in this module
- Creating boilerplate for compliant pipelines
- Standardizing logging and monitoring setup
- Template reviews with security partners
- Governance for pattern library updates
- Training new hires on best practices
- Automating compliance checks in CI
- Sharing playbooks across teams
- Documenting lessons from audit cycles
- Tracking adoption of standard patterns
- Measuring reduction in review time
- Reducing onboarding time for new pipelines
- Building organizational muscle over time
How this maps to your situation
- Developer implementing compliance requirements in code
- Team member responding to audit findings
- Owner of data pipeline reliability and integrity
- Contributor to enterprise risk posture
Before vs. after
Before
ETL work is technically sound but operates below compliance radar, requiring rework during audits and missing recognition from leadership.
After
Pipeline designs are proactively aligned with PCI DSS, reducing friction in reviews and positioning the developer as a trusted contributor to risk resilience.
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 90 minutes per week over 12 weeks, with flexible pacing and immediate access to all materials upon enrollment.
If nothing changes
Without structured integration of compliance requirements, even high-quality pipelines face delays during audits, increase scrutiny on engineers, and miss opportunities to demonstrate strategic value to leadership.
How this compares to the alternatives
Generic PCI DSS courses focus on policy or auditor roles. This course is built for developers , it bridges code-level decisions and compliance outcomes, showing exactly how to design pipelines that satisfy both engineering and risk standards.
Frequently asked
Do I need prior PCI DSS experience?
No. The course starts with foundational concepts and builds to advanced application, assuming only a working knowledge of ETL and data systems.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I access the course materials after completion?
Yes. All content, templates, and the implementation playbook are yours to keep indefinitely.
$199 one-time. Approximately 90 minutes per week over 12 weeks, with flexible pacing and immediate access to all materials upon enrollment..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours