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Faster path from data pipeline specs to deployed ETL workflows

$199.00
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A tailored course, built for your situation

Faster path from data pipeline specs to deployed ETL workflows

Turn design intent into running pipelines in half the time , with fewer revisions and full compliance traceability

$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

Mid-to-senior data engineer in a regulated financial institution, focused on delivering reliable, auditable data pipelines under tight timelines

Who this is not for

Engineers focused only on query optimization or dashboard development without ownership of ETL lifecycle

What you walk away with

  • Deploy new pipelines 50, 70% faster from spec to production
  • Use pre-built, compliant pipeline blueprints for common financial data patterns
  • Automate documentation and lineage tracking as part of deployment
  • Reduce rework by catching schema and transformation issues pre-deployment
  • Ship with embedded audit controls that satisfy internal and external reviewers

The 12 modules (with all 144 chapters)

Module 1. From intent to pipeline outline in under 90 minutes
Define scope, source systems, and outputs quickly using a structured intake pattern that aligns stakeholders from the start.
12 chapters in this module
  1. Map business request to data needs
  2. Identify upstream system constraints
  3. Define output frequency and SLA
  4. Select pipeline pattern (batch/streaming)
  5. Choose partitioning strategy
  6. Outline error tolerance threshold
  7. Set monitoring KPIs upfront
  8. Document compliance requirements
  9. Flag governance touchpoints
  10. Assemble stakeholder checklist
  11. Build one-page pipeline brief
  12. Secure technical alignment
Module 2. Schema design with forward compatibility
Design flexible schemas that evolve without breaking downstream consumers or requiring full reprocessing.
12 chapters in this module
  1. Version fields at the start
  2. Use optional fields strategically
  3. Apply naming consistency rules
  4. Embed metadata in schema
  5. Plan for deprecation path
  6. Support multi-source ingestion
  7. Isolate volatile attributes
  8. Define null-handling policy
  9. Align with enterprise taxonomy
  10. Integrate with data dictionary
  11. Validate against sample data
  12. Generate schema change log
Module 3. ETL logic templates for financial data
Apply battle-tested transformation patterns for cleansing, enrichment, and calculation used in capital markets pipelines.
12 chapters in this module
  1. Handle currency conversion cleanly
  2. Adjust for corporate actions
  3. Cleanse ISIN and ticker fields
  4. Enrich with counterparty data
  5. Calculate daily P&L deltas
  6. Apply FX spot adjustments
  7. Validate trade vs position
  8. Detect stale reference data
  9. Log reconciliation flags
  10. Tag data provenance early
  11. Flag outliers programmatically
  12. Generate audit trail snippets
Module 4. Automated testing framework setup
Implement lightweight unit and integration tests that catch 90% of pipeline issues before deployment.
12 chapters in this module
  1. Write record count assertions
  2. Validate field-level completeness
  3. Test null propagation
  4. Simulate late-arriving data
  5. Run schema drift detection
  6. Check referential integrity
  7. Verify transformation logic
  8. Assert idempotency
  9. Test retry logic
  10. Capture sample failure cases
  11. Generate test coverage report
  12. Integrate with CI/CD
Module 5. Pre-validated deployment checklists
Ship confidently using curated checklists that ensure all regulatory, performance, and security bases are covered.
12 chapters in this module
  1. Confirm PII handling compliance
  2. Review encryption at rest
  3. Validate access controls
  4. Check logging completeness
  5. Verify backup configuration
  6. Scan for hardcoded credentials
  7. Test failover behaviour
  8. Confirm monitoring alerts
  9. Review retention policy
  10. Validate recovery runbook
  11. Check cost estimate
  12. Obtain peer sign-off
Module 6. Self-documenting pipeline generation
Produce clear, auditor-friendly documentation automatically as part of the build process.
12 chapters in this module
  1. Extract field lineage automatically
  2. Generate data flow diagrams
  3. Document transformation logic
  4. Tag regulatory drivers
  5. List upstream dependencies
  6. Note exception handling rules
  7. Include sample records
  8. Export in review-ready format
  9. Version documentation with code
  10. Highlight change impacts
  11. Link to control frameworks
  12. Prepare handover package
Module 7. Monitoring configuration in parallel
Set up observability early so issues are caught immediately, not days after launch.
12 chapters in this module
  1. Define latency thresholds
  2. Set record volume alerts
  3. Track failed record counts
  4. Monitor processing duration
  5. Log retry attempts
  6. Capture source availability
  7. Flag schema mismatch events
  8. Alert on data drift
  9. Report duplication rates
  10. Visualize pipeline health
  11. Integrate with incident tooling
  12. Assign on-call ownership
Module 8. Compliance-ready artefacts from day one
Embed regulatory requirements directly into pipeline design and deployment, not as afterthoughts.
12 chapters in this module
  1. Map to APRA CPS 234 controls
  2. Apply MAS TRM standards
  3. Align with GDPR principles
  4. Support audit access paths
  5. Enable data subject requests
  6. Log access and changes
  7. Isolate sensitive datasets
  8. Document retention rules
  9. Flag cross-border transfers
  10. Preserve immutable logs
  11. Generate compliance summary
  12. Prepare for internal review
Module 9. Reusable components for common patterns
Build a personal library of modular, tested components that accelerate future builds.
12 chapters in this module
  1. Create standard source connectors
  2. Package date logic once
  3. Template error handling blocks
  4. Reuse partitioning logic
  5. Store common transforms
  6. Standardize logging format
  7. Preconfigure alert templates
  8. Build reusable validation rules
  9. Document component usage
  10. Version components independently
  11. Share via internal registry
  12. Update safely across pipelines
Module 10. Feedback loop integration
Incorporate input from data consumers early and often to reduce revision cycles.
12 chapters in this module
  1. Send sample outputs early
  2. Request schema feedback
  3. Confirm calculation logic
  4. Validate naming conventions
  5. Adjust frequency based on use
  6. Clarify null handling
  7. Incorporate dashboard needs
  8. Align with reporting cycles
  9. Collect consumer sign-off
  10. Document feedback decisions
  11. Track change rationale
  12. Close loop with stakeholders
Module 11. Zero-touch pipeline provisioning
Automate environment setup, configuration, and deployment to eliminate manual errors and delays.
12 chapters in this module
  1. Template environment variables
  2. Automate IAM role setup
  3. Deploy with infrastructure as code
  4. Preconfigure logging buckets
  5. Set resource scaling rules
  6. Apply cost tags automatically
  7. Integrate with service catalogue
  8. Enable self-service onboarding
  9. Secure credential injection
  10. Validate deployment integrity
  11. Generate deployment receipt
  12. Track deployment history
Module 12. From one pipeline to a scalable practice
Apply what you’ve built into a repeatable, team-wide standard that compounds velocity over time.
12 chapters in this module
  1. Document your blueprint
  2. Train peers on patterns
  3. Propose standard templates
  4. Measure time savings
  5. Show reduction in rework
  6. Highlight audit readiness
  7. Share success stories
  8. Gather adoption feedback
  9. Refine based on use
  10. Contribute to internal wiki
  11. Propose governance adoption
  12. Become go-to pipeline architect

How this maps to your situation

  • Starting a new ETL project
  • Responding to urgent data requests
  • Preparing for audit review
  • Scaling personal output across initiatives

Before vs. after

Before
Pipeline delivery takes weeks, with multiple coordination loops, manual checks, and last-minute fixes.
After
New pipelines go from spec to production in days, with embedded compliance, automated checks, and stakeholder confidence.

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: 6, 8 hours total, self-paced, with immediate applicability to active projects.

How this compares to the alternatives

Unlike generic data engineering courses, this is focused on accelerating delivery in regulated environments , with compliance, audit, and stakeholder alignment built in from the start.

Frequently asked

Is this course specific to any cloud platform?
No , the patterns apply across AWS, Azure, and GCP. Examples are platform-agnostic but easily adaptable.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this work if I use on-prem systems?
Yes , the core delivery patterns apply regardless of infrastructure, with adjustments noted where relevant.
$199 one-time. 6, 8 hours total, self-paced, with immediate applicability to 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
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