Operational onboarding
Messy multi-source files into a governed schema — mapping, validation, and an audit trail you can explain later.
About Me
I’m a data engineer based in Toronto, Canada. I design and operate the layer between messy source systems and the tables, metrics, and dashboards people use to make decisions.
I started in financial-services operations at TD Waterhouse and Bank of America Merrill Lynch, on institutional settlement workflows where completeness, reconciliation, and deadlines were the job. That is the standard I bring to pipeline work: ingestion, transformation, data quality, and the models that sit on top.
I have done that work end-to-end — from a raw file or feed through to something a stakeholder actually uses. I work with analysts, product, and operations, and I am looking for teams that treat data as infrastructure: documented, tested, and depended on.
Languages: English, Spanish (native)
What I work on
Production pipelines
Scheduled, owned jobs that still run when nobody is watching — from marketplace feeds to Airflow DAGs on a clock.
Models people query
Warehouses, slowly changing dimensions, and marts that power the dashboard — not a spreadsheet after the fact.