
Entry-Level Data Engineer with prior experience in database administration and data operations, and hands-on skills in data cleaning, transformation, and analysis using Excel, SQL, Python, PySpark, and Databricks. Strong understanding of ETL pipelines, data validation, reporting, and structured data management, gained through both professional roles and practical projects. Proven ability to work with real-world business data, ensure data accuracy, and support data-driven decision making
Programming & Scripting: Python
• Microsoft Azure Data Fundamentals
• Extracted raw sales and inventory data from Excel files
• Cleaned missing, duplicate, and inconsistent records using Excel and Python
• Transformed data into structured formats suitable for analytics
• Loaded processed data into MySQL database
• Performed analysis using SQL queries (SELECT, JOIN, GROUP BY)
• Generated summary reports for sales trends and stock movement