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DataHour: Building Cloud Native Data Pipelines

Online 27-01-2023 07:00 PM to 27-01-2023 08:00 PM
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DataHour Recording

Find the resources used in the DataHour HERE.

About the DataHour:

With Organizations moving towards the public clouds, it's important to move on-prem data onto the cloud. With that being said, it's quite important to use cloud-native data pipelines to be able to move data effectively in a cloud-native way.

With data residing on the on-premise data sources, the traditional ways of moving data are no more valid and need modernization.

In this DataHour, Jatin will explain how Data Pipelines are being used for data transportation and how you can build cloud native data pipelines from scratch. 


Prerequisites: 
Enthusiasm of learning Data Science.


Who is this DataHour for?

  • Students & Freshers who want to build a career in the Data-tech domain.
  • Working professionals who want to transition to the Data-tech domain.
  • Data science professionals who want to accelerate their career growth


Speaker:

Jatin Rajpal

VP of Data Engineering team at Blackrock

Jatin is currently working as Vice President of the Data Engineering Team at Blackrock in a  leadership & technologist role leading a geographically diverse team of Python Software and Data Engineers. The team aims at modernization or transformation of the complete Index data domain using Snowflake, DBT, and a few other tools and also responsible for data management/pipelining of the Index data domain.

He is a technologist with experience in the Data Engineering domain and has primarily worked in Data Integration projects where he gained expertise on Open source tools like Apache NiFi, Kafka, Spark and legacy tools like Informatica (PowerCenter + IDQ + BDM).

Connect with Jatin on Linkedin

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