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Data engineering interviews will be 10x easier if you learn these tools in sequenceπŸ‘‡

➀ 𝗣𝗿𝗲-π—Ώπ—²π—Ύπ˜‚π—Άπ˜€π—Άπ˜π—²π˜€
- SQL is very important
- Learn Python Funddamentals
- Pandas and Numpy Library in Python.

➀ 𝗒𝗻-𝗣𝗿𝗲𝗺 π˜π—Όπ—Όπ—Ήπ˜€
- Learn Pyspark - In Depth (Processing tool)
- Hadoop (Distrubuted Storage)
- Hive (Datawarehouse)
- Hbase (NoSQL Database)
- Airflow (Orchestration)
- Kafka (Streaming platform)
- CICD for production readiness

➀ π—–π—Ήπ—Όπ˜‚π—± (π—”π—»π˜† 𝗼𝗻𝗲)
- AWS
- Azure
- GCP

➀ Do a couple of projects to get a good feel of it.

Here, you can find Data Engineering Resources πŸ‘‡
https://topmate.io/analyst/910180

All the best πŸ‘πŸ‘
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