Senior Staff Engineer at Kinaxis

Create a standardized data ingestion framework for data teams; Collaborate with Cloud Architecture/Engineering teams to scale data infrastructure and governance initiatives; Host training/workshops for business teams to upskill in data/analytics engineering; Lead and implement FinOps initiatives leading to annual savings of $220,000; Build POCs to monetize data products using Databricks/Google Cloud/Looker.

Staff Data Engineer at Kinaxis

Set up cloud infrastructure with Terraform to ingest cloud spend from multiple cloud platforms; Deploy and maintain data warehouse using dbt, Github Actions and BigQuery; Develop and deploy data ingestion pipelines using Python and Google Cloud Functions; Improve data quality and enforce best practices using CI/CD pipelines; Standardize development team onboarding with development containers; Collaborate with Finance/Engineering teams to build operational dashboards tracking FinOps metrics; Create monthly FinOps reporting decks for leadership teams; Generated annual savings of $200,000 by building an in-house FinOps data warehouse.

Senior Data Engineer at Home Depot Canada

Maintain data pipelines for analytics teams using Alteryx/Python/BigQuery; Ingest and transform data (inventory, pricing, product) into Google BigQuery for optimal performance; Generated annual savings of $12,000 by performing query optimization in BigQuery; Define analytics requirements for customer segmentation and personalization use cases; Implement ETL best practices and monitor data quality to ensure accuracy and completeness; Use dbt to implement data quality checks and ensure data is consistent across analytics models.