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๐Ÿ”ฅ ๐—ฆ๐˜๐—ผ๐—ฝ ๐—ช๐—ฎ๐˜๐—ฐ๐—ต๐—ถ๐—ป๐—ด ๐—ง๐˜‚๐˜๐—ผ๐—ฟ๐—ถ๐—ฎ๐—น๐˜€.

๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐—ฃ๐—ฟ๐—ฎ๐—ฐ๐˜๐—ถ๐—ฐ๐—ถ๐—ป๐—ด ๐—Ÿ๐—ถ๐—ธ๐—ฒ ๐—ฎ ๐—ฅ๐—ฒ๐—ฎ๐—น ๐——๐—ฎ๐˜๐—ฎ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ.

If you want ๐—ท๐—ผ๐—ฏ-๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐—ฆ๐—ค๐—Ÿ, ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป, ๐—ฃ๐˜†๐—ฆ๐—ฝ๐—ฎ๐—ฟ๐—ธ, ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ & ๐—ฆ๐—ป๐—ผ๐˜„๐—ณ๐—น๐—ฎ๐—ธ๐—ฒ skills,

Hereโ€™s where to practice and what exactly to practice because these are mainly expected in all the companies especially in EY, PwC, KPMG & Deloitte ๐Ÿ‘‡

1๏ธโƒฃ ๐—ฆ๐—ค๐—Ÿ โ€” ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐—ฎ๐—น & ๐—ฃ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป-๐—Ÿ๐—ฒ๐˜ƒ๐—ฒ๐—น

LeetCode (SQL): https://lnkd.in/gudFeUbZ
HackerRank (SQL): https://lnkd.in/g9hpE6vQ
SQLZoo: https://sqlzoo.net/
โ€ข JOINs (INNER, LEFT, RIGHT)
โ€ข GROUP BY & HAVING
โ€ข Window functions (ROW_NUMBER, RANK)
โ€ข CTEs (WITH clause)
โ€ข Query optimization logic

2๏ธโƒฃ ๐—ฃ๐˜†๐˜๐—ต๐—ผ๐—ป โ€” ๐——๐—ฎ๐˜๐—ฎ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด ๐—™๐—ผ๐—ฐ๐˜‚๐˜€

LeetCode (Python): https://lnkd.in/gaEvhsvi
HackerRank (Python): https://lnkd.in/gGHkAE47
Exercism (Python): https://lnkd.in/gAuvZmwZ
โ€ข Functions & modules
โ€ข File handling (CSV, JSON)
โ€ข Data structures (list, dict)
โ€ข Error handling & logging
โ€ข Clean, readable code

3๏ธโƒฃ ๐—ฃ๐˜†๐—ฆ๐—ฝ๐—ฎ๐—ฟ๐—ธ โ€” ๐—•๐—ถ๐—ด ๐——๐—ฎ๐˜๐—ฎ ๐—›๐—ฎ๐—ป๐—ฑ๐˜€-๐—ข๐—ป

Databricks Community: https://lnkd.in/gpDTBDpq
SparkByExamples: https://lnkd.in/gfjnQ7Ud
Kaggle Notebooks: https://lnkd.in/gm7YU7Fp
โ€ข DataFrames & transformations
โ€ข Joins & aggregations
โ€ข Partitioning & caching
โ€ข Handling large datasets
โ€ข Performance tuning basics

4๏ธโƒฃ ๐—”๐˜‡๐˜‚๐—ฟ๐—ฒ โ€” ๐—˜๐—ป๐—ฑ-๐˜๐—ผ-๐—˜๐—ป๐—ฑ ๐——๐—ฎ๐˜๐—ฎ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ๐—ถ๐—ป๐—ด

Azure Free Account: https://lnkd.in/gk_Dpb9v
Microsoft Learn: https://lnkd.in/gb8nTnBf
Azure Data Factory: https://lnkd.in/ggpsYk7X
โ€ข Data ingestion using ADF
โ€ข ADLS Gen2 storage layers
โ€ข Parameterized pipelines
โ€ข Incremental data loads
โ€ข Monitoring & debugging

5๏ธโƒฃ ๐—ฆ๐—ป๐—ผ๐˜„๐—ณ๐—น๐—ฎ๐—ธ๐—ฒ โ€” ๐—ฅ๐—ฒ๐—ฎ๐—น ๐——๐—ฎ๐˜๐—ฎ ๐—ช๐—ฎ๐—ฟ๐—ฒ๐—ต๐—ผ๐˜‚๐˜€๐—ถ๐—ป๐—ด

Snowflake Trial: https://lnkd.in/g2dHRA9f
Sample Data: https://lnkd.in/grsV2X47
Snowflake Learn: https://lnkd.in/gVpiNKHF

โ€ข Data Loading and Unloading
โ€ข Fact & dimension modeling
โ€ข ELT inside Snowflake
โ€ข Query Profile analysis
โ€ข Cost & performance tuning
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