Fresher to Data Engineer in 60 Days - She placed by self learned 😱 | Data analyst roadmap Tamil

Hello Techies! Get ready for our latest podcast featuring Asvitha, a newly placed Data Engineer. She'll be sharing her journey, interview experiences, and the tools used in her field. 🎙 This podcast explores Data Science, Data Analysis, and Data Engineering, giving insights into career prospects and the evolving data industry. Whether you're starting out or already in the field, Asvitha's experiences offer valuable knowledge and practical advice.

Discover how Asvitha leveraged free resources to master Data Engineering. 📚 From online courses to community forums, she'll reveal invaluable insights on self-learning in tech.
Don't miss this engaging discussion that could shape your future in tech! 🔍

To Know more about Asvitha, you can check out her YouTube channel by following the link provided.    / @asvithavs  

Watch this video till end and don't forget to subscribe our channel.
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Timestamps
00:00 - Introduction
01:36 - Intro for podcast
02:35 - Intro about asvitha and her journey
03:40 - Internship
04:45 - Data engineer day to day activities
04:53 - what is the work of data engineer
07:57 - which is best and Scope for data engineer,date analyst and data scientist
08:56 - Which is easy that every can do and its criteria
10:32 - where to start for data engineering in Self learn
18:27 - What are the You tube channels you suggest for self learning
20:27 - how to take google documents and blog post for self learning
22:07 - how to research and pick from google for self learning
26:04 - how days it took to cover in you tube for self learning
26:52 - how to choose projects for data science to showcase
27:21 - What are the project you did
27:57 - Example project to showcase in company
30:39 - How you showcase your profile
31:19 - How you did you resume
32:58 - How you searched for job in linkedin and naukri
38:39 - Interview Preparations
39:39 - What are basic question asked for Data Engineering
40:51 - Spark
42:36 - Job search Duration
43:47 - Conclusion for the audience
47:00 - Thanks
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