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February 3, 2022

[Webinar] Panel Discussion: Data Engineering Career

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 2-hour 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, skills required, and career path.

Schedule (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

*Times listed above are in EDT*
*Please make sure to leave time before the start of the workshop for registration*

Event Details
6:30 pm -
 8:30 pm EST/EDT
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Speakers shapes graphic
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.
Zheng Xu
Data Engineer, The Globe and Mail
Zheng is currently a data engineer at one of the largest Canadian newspaper company where he builds and supports the data application from other teams in the company. He specializes in building data pipelines using Apache Airflow, data integration and ETL/ELT in Snowflake/Redshift, and developing big data applications using Apache Spark on Databricks. He teaches with WeCloudData in the Data Engineering program as an assistant instructor. Topics he covers include Airflow, Cassandra, Spark, and Spark Streaming.
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