Kamil Khan


  • B.Com Candidate studying in Business and Computer Science at the University of British Columbia (2018)
  • Spent 8 months at Hootsuite (January – August 2016)
  • Joined the Data Lab team
  • Worked with Scala utilizing the Akka frameworks, interacting with AWS technologies
  • Worked with @ElThue and @ypodeswa
  • Follow me on Github
  • Connect with me on LinkedIn

My Contributions

  • Collaborated with Hootsuite’s Data Lab team to create a data pipeline for aggregating, cleaning and unifying Hootsuite’s various data streams
  • Assisted in migration towards a new Scala-based microservice responsible for performing ETLs user activity statistics
  • Added new marketing metrics for member and organization stream-usage
  • Ensured continued data quality during Hootsuite’s plan restructuring
  • Wrote a blog post on Processing Big Data with a Micro-Service-Inspired Data Pipeline
  • Created an infographic on the Lessons of a Failed A/B Test

My Experience

I started school hoping to explore the converging worlds of finance and economics and the technological revolution which is transforming it, and began to realize a pattern. In a sector where information is priceless, big data is supplying large profits to those able to able to gain insights from the organized chaos. Intrigued, and yearning to learn more, I joined Hootsuite to learn how technology companies turn data into information, and the trends to look out for in this fast-moving field.

On my first day at Hootsuite, I was thrown immediately into a new initiative to provide data for a new analytical platform being rolled out to project managers and analysts. I was lucky enough to experience the entire lifecycle of the project, and contribute to all facets of the pipeline. Throughout this initiative, I have gained an understanding and appreciation for the dangers and nuances in data-related infrastructure design, and peeked under the veil covering the black-box of big data-processing and analytics.