- Building reuseable and trustworthy ELT pipelines (A templated approach), Airflow Summit 2020
- Using Airflow to Orchestrate dbt, DBT Office Hours 2020
- What is Analytics Engineering?, Toronto Analytics Engineering Meetup 2020
- Snowflake Office Hours: SnapTravel 2019
- Snowflake: Powering SnapTravel’s Data Economy, BigDataTo 2019
- Evolution of Data Infrastructure @ SnapTravel, Toronto Women Data Group 2018
- Good Data Engineer/Bad Data Engineer
- Mental Model Data Leaders need to have to Setup an Elite Data team with Data Engineers
- 3 Q&As For You To Decide: If You Need a Machine Learning Engineer on your Team. If Yes, What Is Their Role?
- Dev/ML/Data Ops; What are the similarities and differences?
- Why is it hard to manage Data teams and deliverables? 3 problems and solutions
- 5 Steps to implement Analytics as Code; Deliver data with confidence and speed
- 3 Steps to implement DataOps; Data Leaders can now Supercharge their teams’ delivery of Data-Driven Insights
- Airflow Lessons Learned
- Lessons learnt while Airflow-ing
- Building a data pipeline to handle >50M events/day (with a startup budget) — Collection
- Building a data pipeline to handle >50M events/day (with a startup budget) — Part II. Loading
- Observability for Data Engineering
- How We Improved Data Discovery for Data Scientists at Spotify
- Why is dbt so important?
- DataOps Cookbook
- The Engineer/Manager Pendulum
Open Source Projects
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