Aspiring Data Engineer and SQL Developer focused on backend data systems, ETL pipelines, and database design. I have built hands-on projects using SQL, Python, Pandas, and MySQL including ETL pipelines, database systems, and data transformation workflows. Currently expanding my skills in Data Engineering, data processing, and cloud technologies while seeking internship opportunities to grow my technical expertise.
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Designed a relational Employee Management Database using PostgreSQL. Implemented tables with primary and foreign key relationships and performed analytical queries using JOIN, GROUP BY, aggregate functions, subqueries and views to generate department-wise salary insights.
PostgreSQL View ProjectDesigned a relational Library Management Database using PostgreSQL. Created normalized tables for books, members, librarians, and borrow records with primary and foreign key relationships. Implemented SQL queries using JOIN, DISTINCT, and filtering to track borrowed books, member activity, and library inventory.
PostgreSQL View ProjectDesigned a relational Sales Management Database using PostgreSQL. Created normalized tables for Product_info, Customer_table, Orders_table, and Order_items records with primary and foreign key relationships. Implemented SQL queries using JOIN, DISTINCT, and filtering to track Sales, Total Amount and Total sells.
PostgreSQL View ProjectBuilt an end-to-end ETL (Extract, Transform, Load) pipeline using Python, Pandas, NumPy, SQLAlchemy, and MySQL. Extracted data from MySQL tables, cleaned and transformed datasets using Pandas, performed joins and calculated columns, and loaded the transformed data back into MySQL. This project demonstrates practical data engineering workflows, data cleaning, and SQL-Python integration.
PostgreSQL View Project