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πŸš€ Data Engineering Learning

Practicing SQL, Python, and PySpark to build ETL/ELT Pipelines on the Data Lakehouse platform (Databricks)

πŸ“‚ Core Repositories

  • SQL/ Foundational DDL/DML and Advanced Analytics Queries.
  • Python/ Core Structures, Advanced Comprehensions, OOP/Classes, and Data Practices.
  • PySpark/ Data Cleaning, Imputation, Advanced Joins, Window Functions, and Struct Aggregations.

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Data Engineering skills with SQL, Python, and PySpark. Focused on building efficient data pipelines and Delta Lake architecture on the Databricks platform

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