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May 24, 2022

[Webinar] Data Engineering Career: Panel Discussion

About the Event

Want to know what a career in Data Engineering entails? Want to know the tools and platforms that a modern Data Engineer needs to master? Then come join us for a panel discussion on the Data Engineering career path!

Data Engineers play an essential role in organizations that collect and manage big data. In a typical data organization, Data Engineers gather and collect the data, store it, do batch processing or real-time processing on it, and serve it via the database to a Data Scientist who can easily query it. In essence, Data Engineers help manage how data flows in an Enterprise data architecture.

This event is created for our community members who want to understand data engineering, the skills required, and career path.

Schedule (Times listed below are in EDT):

  • 6:00pm – 6:30pm: Open registration
  • 6:30pm – 6:45pm: Event kickoff and introduction
  • 6:45pm – 7:15pm: Introduction to Data Engineering
  • 7:15pm – 8:00pm: Panel Discussion on Data Engineering Career

Event Details
6:30 pm -
 8:00 pm EST/EDT
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Stan Taov
Data Engineer @ Telus
Stan Taov is a professional data engineer with hands-on experience in building, validating and deploying machine learning models and creating end-to-end data pipelines. He is passionate about all things data. Stan has strong knowledge of converting business problems into analytical use cases and enjoys solving problems and building data-driven architecture. Stan has a passion for big data technologies and machine learning. Stan finished the Applied Data Engineering diploma program from WeCloudData and York University’s machine learning and predictive analytics certification programs. Stan switched his career multiple times, he moved from civil engineering to business and marketing and from the business field, he moved to data engineering. Currently, Stan works for Telus where he foresees and solves any operational issues with the on-prem cluster. He builds ETL pipelines and deploys spark analytical workloads.
Eric Zheng
Data Engineer @ Nielsen
Eric is a Data Engineer at Nielsen, the industry leader in global measurement and data analytics based in Chicago. He has a master’s degree in Logistics Engineering and has more than 15 years of experience in the IT and data industries. At Nielsen, his work is mostly about building data architecture and pipelines, establish data models for various business usages and measurements. He works closely with Data Science and Business Intelligence teams to create robust and agile data solutions for global retail giants.
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Diploma Program

Data Engineering Bootcamp (Full-Time)


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