[Data Engineering] Use Cases and Career Panel Discussions

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

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Event Description

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? Come join us for a 2-hour panel discussion on 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.

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Event Schedule
6:30 - 6:45 Event kickoff and introduction by the host
6:45 - 7:15 Introduction to Data Engineering (Presentation)
7:15 - 8:30 Panel Discussion on Data Engineering Career (AMA)

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Panelists Bio
1st Panelist: Edwin Guo
2nd Panelist: TBD

Edwin Guo:
Edwin is an expert Data Engineer and Cloud Architect who is specialized in Distributed Computing, Distributed Storage, Microservice, Cloud(AWS), Machine learning and Blockchain technologies. Skilled in Spark, Apache Kafka, Akka, Cassandra and various popular tools in the open source landscape, he has the opportunities to lead many challenging big data projects in the past.
Coming from a Software Engineer background with a strong passion in the CS space, Edwin Guo is well versed in productive languages such as Scala, Java, Clojure, Python, and Golang. His past experience covers many domains including telecommunications, stock market price dissemination/portfolio management system, customer loyalty programs, and cybersecurity.