Staff and Lead Data Engineers for a bootstrapped Canadian ad-exchange company (~600 staff) processing hundreds of billions of daily auctions. Day to day: building petabyte-scale batch and streaming pipelines and low-latency analytical APIs using Spark, Kafka, Flink, Go/Java, and Kubernetes, with Lead roles also managing a distributed team.
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