Reliability
I add tests, documentation, and monitoring so other people can run and change the work.
About
I am an analytics engineer in Calgary. I work in fintech at Paramount Commerce, teach at SAIT, and run HomeLabs Academy.
I am an Analytics Engineer, Data Engineer, and instructor in Calgary. My background includes data engineering, analytics, machine learning, biotechnology, and scientific research.
At Paramount Commerce, I build and maintain data pipelines, analytics infrastructure, forecasting systems, and BI solutions supporting finance, revenue, merchant, banking, and operational reporting. My work has included migrating analytics workloads from AWS to GCP, developing dbt models in BigQuery, building governed Looker reporting, automating recurring financial reporting, implementing data observability, and optimizing cloud and BI costs.
Alongside my industry work, I teach data analytics and science courses at SAIT. I teach subjects including SQL, Python, R, data modeling, statistics, exploratory data analysis, machine learning, forecasting, Power BI, Tableau, and business intelligence.
I also founded HomeLabs Academy, an online STEM learning platform focused on helping students learn through structured lessons, practice assessments, virtual labs, feedback, and individualized support.
Before moving into data full time, I worked in biotechnology, bioinformatics, research, manufacturing, and labs. I still start with evidence, check the system, test assumptions, and measure the result.
Background
My career began in biotechnology and scientific research, where I worked across laboratory research, bioinformatics, biologics manufacturing, and production environments.
Science work was about evidence, experiments, and repeatable results. That led into data science, then data engineering and analytics engineering.
I now use that approach on pipelines, forecasts, and reporting for finance and operations teams.
How I work
I add tests, documentation, and monitoring so other people can run and change the work.
If a report or process runs on a fixed schedule, I try to take the manual steps out of it.
I check whether a pipeline or dashboard actually changed how a team reports or decides.
I write down metric definitions and model logic, and I teach the same ideas at SAIT.
I start from the finance, risk, or operations question, then pick the simplest setup that answers it.
Skills
dbt · Advanced SQL · Dimensional Modeling · Data Marts · Semantic Layers · Data Testing · Documentation · Lineage
ELT / ETL · Airflow · Data Pipelines · Data Warehousing · Data Quality · Kafka · CI/CD · Salesforce · HubSpot · NetSuite
Google Cloud Platform · BigQuery · AWS · Snowflake · Redshift
Python · SQL · R · T-SQL
Looker · LookML · Tableau · Metabase · Power BI · QuickSight · Grafana
scikit-learn · XGBoost · Regression · Forecasting · Clustering · Classification · Vertex AI
Docker · Kubernetes · Git · GitHub · CI/CD · Monitoring · Observability
Datadog · Grafana · BigQuery monitoring · Query cost monitoring
Power BI · Microsoft Fabric · SQL Server · T-SQL · DAX
Bioinformatics · Biotechnology · GMP · GxP · Scientific research · Experimental design
Education
University of Prince Edward Island
BrainStation
Certification
Tableau · June 2023