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-# ELT-IPL
+
+# IPL Data Engineering
+
 This is an End-to-End Data Engineering Project that using the IPL Dataset.
+
+## Pipeline Architecture
+
+[![IPL.png](https://i.postimg.cc/9fpNxFRk/IPL.png)](https://postimg.cc/FfYZzvxb)
+
+## Screenshots
+
+### Snowflake Environment
+
+[![Screenshot-from-2024-04-27-14-09-35.png](https://i.postimg.cc/kM03RGxN/Screenshot-from-2024-04-27-14-09-35.png)](https://postimg.cc/9zYNvWgz)
+
+### Databricks Environment
+
+[![Screenshot-from-2024-04-28-13-01-33.png](https://i.postimg.cc/ZKSshd8Q/Screenshot-from-2024-04-28-13-01-33.png)](https://postimg.cc/Z0wx80DP)
+
+### Data Visualization
+
+[![Screenshot-from-2024-04-28-13-02-10.png](https://i.postimg.cc/yxvZ5tXs/Screenshot-from-2024-04-28-13-02-10.png)](https://postimg.cc/644q4Hmm)
+
+[![Screenshot-from-2024-04-28-13-02-26.png](https://i.postimg.cc/8ktf18MV/Screenshot-from-2024-04-28-13-02-26.png)](https://postimg.cc/s1GgcNTn)
+## Tech Stack
+
+**Dataset:** IPL-dataset from @data.world
+
+**Extract & Load Data:** SnowSQL & Snowflake DB 
+
+**Transform Data:** Pyspark & Databricks