A tailored course, built for your situation
Faster path from data model intent to deployed transformation
Ship trusted, documented data pipelines in half the cycles with repeatable DBT + Snowflake patterns
$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.
The situation this course is for
Who this is for
Senior Data Engineer working in cloud data platforms, focused on accelerating pipeline delivery while maintaining quality and auditability
Who this is not for
Engineers new to DBT or Snowflake who need foundational training
What you walk away with
- Produce fully documented data models at time of first pull request
- Reduce rework cycles by aligning testing and schema evolution upfront
- Ship reusable transformation templates that new team members adopt immediately
- Gain peer trust through consistency: fewer review rounds, faster merges
- Build deployment velocity into governance, so speed doesn't trade off compliance
The 12 modules (with all 144 chapters)
Module 1. Defining the scope with purpose-built naming
Start with a clear model boundary using naming conventions that communicate intent, ownership, and stage without external documentation.
12 chapters in this module
- Purpose of scope definition
- Naming for ownership clarity
- Staging markers in object names
- Environment tagging system
- Schema lifecycle prefixes
- Team-specific namespace rules
- Change request identifiers
- Versioning in naming syntax
- Automated linting setup
- Naming convention documentation
- Review checklist integration
- Template export configuration
Module 2. Initial model scaffold with embedded docs
Generate first-draft models with doc blocks pre-filled to capture business logic, source origin, and transformation rules.
12 chapters in this module
- Model header structure
- Business purpose declaration
- Source table mapping
- Owner and maintainer fields
- SLA expectation field
- Upstream dependency flag
- Downstream consumer flag
- Common query pattern note
- Performance expectation
- Test coverage placeholder
- Change history block
- Doc block automation
Module 3. Test suite embedded at creation
Embed data quality checks directly in model definitions to catch drift before merge.
12 chapters in this module
- Not null constraints
- Unique key validation
- Referential integrity test
- Threshold-based alerts
- Custom anomaly detection
- Schema change detector
- Row count sanity check
- Freshness expectation
- Null rate tolerance
- Duplicate rate cap
- Test severity levels
- Auto-fail settings
Module 4. Documentation as code workflow
Maintain living docs updated automatically from model changes, eliminating stale runbooks.
12 chapters in this module
- Doc block extraction
- CI/CD integration trigger
- Auto-publish destination
- Versioned doc history
- Access control sync
- Change summary generation
- Stakeholder notification
- Feedback loop setup
- Frontend embedding
- Search indexing
- Permission audit trail
- Archive policy
Module 5. Peer review acceleration framework
Standardize review expectations so feedback is fast, consistent, and actionable.
12 chapters in this module
- Checklist automation
- Required fields enforcement
- Common pattern library
- Anti-pattern flag list
- Reviewer assignment rules
- Turnaround time benchmark
- Comment template library
- Approval threshold
- Escalation path
- Feedback categorization
- Review analytics
- Process refinement
Module 6. Version-controlled migration path
Manage schema evolution without breaking downstream dependencies.
12 chapters in this module
- Breaking change classification
- Deprecation notice format
- Consumer impact assessment
- Fallback view setup
- Migration tracking
- Dual-write period
- Backfill automation
- Consumer comms template
- Schema registry sync
- API version mapping
- Monitoring on switch
- Post-migration audit
Module 7. Automated staging validation
Run pre-deployment checks that validate data shape, volume, and quality.
12 chapters in this module
- Data profile generation
- Expected row count range
- Column null rate check
- Data type consistency
- Distribution baseline
- Outlier detection
- Referential completeness
- Join integrity check
- Performance benchmark
- Query plan analysis
- Resource utilization
- Alert threshold
Module 8. CI/CD pipeline integration
Embed quality gates into deployment so only valid models reach production.
12 chapters in this module
- Pipeline trigger rules
- Test gate enforcement
- Documentation check
- Schema compatibility
- Approval verification
- Rollback configuration
- Notification setup
- Audit log capture
- Environment sync
- Secrets management
- Pipeline speed metrics
- Error recovery
Module 9. Reusable template library
Create standard patterns for common transformations to reduce design time.
12 chapters in this module
- Aggregate template
- Scaffold model
- Incremental load
- SCD Type 2 pattern
- Fan-out join
- Bridge table
- Fact table
- Dimension table
- Staging view
- Data vault core
- Pipeline wrapper
- Orchestration block
Module 10. Feedback loop from consumption
Capture downstream usage patterns to guide model refinement.
12 chapters in this module
- Query frequency tracking
- Common filter patterns
- Join path analysis
- Performance bottlenecks
- User feedback channel
- Adoption metric
- Staleness detection
- Query optimization log
- Consumer survey
- Usage trend report
- Model deprecation
- Iteration roadmap
Module 11. Governance without friction
Align compliance and audit needs with engineering velocity.
12 chapters in this module
- Automated data lineage
- PII tagging
- Access certification sync
- Policy rule embedding
- Audit trail capture
- Retention policy automator
- Data classification
- DLP integration
- Compliance dashboard
- Regulatory mapping
- Evidence auto-packaging
- Review cycle reduction
Module 12. Velocity compounding across teams
Enable other engineers to adopt your patterns without direct involvement.
12 chapters in this module
- Template sharing setup
- Pattern documentation
- Internal adoption metric
- Cross-team onboarding
- Support load reduction
- Feedback integration
- Improvement tracker
- Community forum
- Training snippets
- Adoption incentives
- Pattern deprecation
- Scaling playbook
How this maps to your situation
- When starting a new model
- Before peer review
- After test failure
- During production rollout
Before vs. after
Before
Long review cycles, repeated requests for documentation, manual testing, fragile deployments
After
Models land with full context, pass review quickly, and become reusable assets
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: 45, 60 minutes per module, designed to be consumed in parallel with active projects
How this compares to the alternatives
Unlike generic DBT tutorials or Snowflake certifications, this course focuses on the integration layer, how to combine both systems to ship faster with fewer cycles and higher trust.
Frequently asked
Is this about learning DBT or Snowflake from scratch?
No. This is for practitioners already using DBT and Snowflake who want to reduce rework, accelerate delivery, and increase the reusability of their work.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this to existing pipelines?
Yes. Each module includes templates and migration steps to retrofit current workflows.
$199 one-time. 45, 60 minutes per module, designed to be consumed in parallel with active projects.
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