OG.

Data engineering portfolio

Toronto, Canada

Omid Ganji

Data Engineer

Omid builds reliable data pipelines and analytics-ready datasets that turn operational data into trusted business insight.

01

Quality by design

Schema checks, reconciliation, and automated tests are built into each project—not treated as an afterthought.

02

Business-aware

Modeling decisions are connected to the questions analysts and operators need to answer.

03

Builder mindset

Correctness, clear documentation, and steady improvement guide every build.

  • Python
  • SQL
  • Data Modeling
  • Data Quality
  • DuckDB
  • Automated Testing

Capabilities

Demonstrated in visible work
01

Pipeline engineering

  • Python and pandas
  • Batch ingestion
  • Schema validation
  • Idempotent processing
  • Data-quality quarantine
02

Modeling & serving

  • Dimensional modeling
  • Star schemas
  • Fact and dimension tables
  • Parquet
  • DuckDB and analytical SQL
03

Reliability & delivery

  • pytest
  • Row and key reconciliation
  • Metadata control tables
  • GitHub Actions CI
  • Technical documentation