Data_lab/README.md

🧪 Data Lab

Learning • Experimentation • Data Engineering Projects

Note

Code, datasets, and designs may change as I refine implementations and adopt best practices.

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Table of Contents

1. About
2. Projects
3. Tools & Technologies
4. Contact Me

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About

Data Lab is a personal sandbox for building and iterating on data engineering projects.

The focus is on:

• Designing reliable data pipelines
• Applying analytics engineering principles
• Working with batch data, lakehouse patterns, and validation
• Learning by building realistic systems rather than just toys

Projects range from small experiments to end-to-end pipelines using production-style tools.

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Projects

Each project will be in its own Repo.

Banking Transaction Pipeline

• Spark-based ETL pipeline
• Bronze → Silver → Gold lakehouse design
• Data quality enforcement and validation

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Tools & Technologies

• Languages: Python, SQL, Java
• Processing: Apache Spark (PySpark)
• Storage: S3 storage
• Data Formats: Parquet, Delta-style layouts
• Databases: PostgreSQL, SQLite (project-dependent)
• Visualization: Tableau / Power BI

Tools may expand as new projects are added.

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💬 Connect With Me

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