Find the invariant.
Strip noise. Name the constraint. Design around what doesn't change.
The systems matter. So does how you enter them.
Canada
Current location- Canadian citizen
- Based in Toronto, Ontario
- NEXUS card holder
United States
Work authorization- Canadian citizen (TN for qualifying US roles)
- Open to relocation (US / Canada)
- Open to H-1B or green card sponsorship if needed
Working Set
Working Set
Tools grouped by the phase of work they serve.
01Languages
- Python
- SQL
- Teradata SQL
- BigQuery SQL
- SAS
- R
- Bash
- TypeScript
- Java
- C
02Data Engineering
- ETL/ELT
- Batch Processing
- Change Data Capture
- MERGE Upserts
- Backfills
- Airflow
- Cloud Composer
- Pandas
03Modeling & Warehousing
- Dimensional Modeling
- Star Schema
- SCD Type 2
- Data Marts
- Semantic Layer
- BigQuery
- Teradata
- PostgreSQL
04Cloud & Platform
- GCP
- Cloud Run
- Terraform
- GitLab CI/CD
- GitHub Actions
- Docker
- AWS
- Linux
- Git
05Quality & Operations
- Data Quality
- Reconciliation
- Monitoring & Alerting
- Incident Response
- Root Cause Analysis
- Data Lineage
- Data Governance
06Analytics & AI
- MicroStrategy
- dbt
- Statistical Analysis
- Scikit-learn
- Machine Learning
- AI Coding Assistants
From reproducible research tooling to owning production data systems: named change-control gatekeeper and peer reviewer seven weeks in, and now the owner of 25+ production data pipelines, including 14 scheduled control flows. The scope widened from individual pipelines to platform concerns: warehouse architecture, migration reliability, and team-wide data governance standards.
| From | To |
|---|---|
| Reproducible research tooling | Idempotent production pipelines |
| "Make it work" correctness | Performance-engineered systems |
| Per-job SQL ETL | A four-layer BigQuery warehouse architecture |
| Individual execution | Change-control gatekeeper, then owner of 25+ pipelines |
| Reactive incident debugging | Proactive data-quality gating |
| Technical-task reporting | Business-value storytelling for directors |
| Area | I own | I partner | I support |
|---|---|---|---|
| Data Pipelines | ✓ | ||
| Data Quality | ✓ | ||
| Incident Response | ✓ | ||
| Change Control | ✓ | ||
| Backfills & Recovery | ✓ | ||
| Warehouse Architecture | ✓ | ✓ | |
| Performance Tuning | ✓ | ✓ | |
| Stakeholder Comms | ✓ | ✓ | |
| Monitoring & Alerting | ✓ | ✓ | |
| Documentation | ✓ | ✓ | ✓ |
Make failure visible.
Instrument early. Surface truth. Learn in public, fix in time.
Leave a system easier to trust.
Document decisions. Reduce friction. Build for the next operator.