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In this video, I have talked about how I use python as a Data Engineer and shared my learnings and best practices I have learned in the last 5 years.
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🎯Twitter - / parmardarshil07
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Timestamps
0:00 Intro
0:38 Building Data Pipeline using Python
0:51 Data Sources and APIs
1:43 Data Extraction Code
2:14 Data Transformation
2:56 What is Data Pipeline
4:15 Data Storage
4:41 Data Pipeline Deployment
6:44 Course - Python for Data Engineering
7:04 Free Roadmap - Python for Data Engineering
3 Books You Should Read
📈Principles: Life and Work: amzn.to/3HQJDyP
👀Deep Work: amzn.to/3IParkk
💼Rework: amzn.to/3HW981O
Tech I use every day
💻MacBook Pro M1: amzn.to/3CiFVwC
📺LG 22 Inch Monitor: amzn.to/3zk0Dts
🎥Sony ZV1: amzn.to/3hRpSMJ
🎙Maono AU-A04: amzn.to/3Bnu53n
⽴Tripod Stand: amzn.to/3tA7hu7
🔅Osaka Ring Light and Stand: amzn.to/3MtLAEG
🎧Sony WH-1000XM4 Headphone: amzn.to/3sM4sXS
🖱Zebronics Zeb-War Keyboard and Mouse: amzn.to/3zeF1yq
💺CELLBELL C104 Office Chair: amzn.to/3IRpiL2
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✨ Hashtags ✨
#dataengineering #python #airflow
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