Citation :

Gajula Lokesh Kumar, 2025. "Building Scalable Data Extraction and Reporting Pipelines in Python" ESP International Journal of Advancements in Science & Technology (ESP-IJAST)  Volume 3, Issue 2: 52-56.

Abstract :

This paper introduces an efficient and scalable solution for automating data extraction and report generation using Python. In data-intensive organizations, especially those leveraging Oracle databases, transforming raw data into actionable insights typically involves the labor-intensive creation of structured Excel reports. Our proposed approach utilizes key Python libraries—including pandas for data manipulation, cx_Oracle for database connectivity, and openpyxl for Excel file generation—to streamline the entire workflow. The system supports the automated retrieval, transformation, and population of data into pre-defined templates, enabling the creation of professional, customized reports with minimal manual effort. It is optimized to handle large datasets, incorporating data transformations such as deduplication while ensuring data integrity is maintained throughout the process. Additional features include detailed logging, robust error handling, and dynamic report customization to meet varied business requirements. Compared to traditional manual methods, this Python-based solution significantly improves reporting accuracy, operational efficiency, and scalability. The paper offers a practical framework for IT professionals and data analysts, highlighting both the technical implementation and the strategic value of automated reporting in modern enterprises.

References :

[1] Lokesh Kumar Gajula "Streamlining Data Loading in Python: A Guide for Beginners" Journal on International Journal of Management, IT & Engineering (IJME), vol. 15 issue 3, pp. 95-101, March 2025.

[2] Python Software Foundation. (n.d.). "csv — CSV File Reading and Writing." Python 3.x Documentation. Available at: https://docs.python.org/3/library/csv.html.

[3] Python Software Foundation. (n.d.). "openpyxl — Read/Write Excel 2010 xlsx/xlsm files." Python Package Index (PyPI). Available at: https://pypi.org/project/openpyxl/.

[4] Python Software Foundation. (n.d.). "xlrd — Python library for reading data from Excel files (xls)." Available at: https://pypi.org/project/xlrd/.

[5] Python Software Foundation. (n.d.). "pandas — Powerful data structures for data analysis, time series, and statistics." Python Package Index (PyPI). Available at: https://pypi.org/project/pandas/.

[6] Python Software Foundation. (n.d.). "cx_Oracle — Python interface to Oracle Database." Python Package Index (PyPI). Available at: https://pypi.org/project/cx-Oracle/.

Keywords :

Python, Data Extraction, CSV, Automation, SQL, Oracle, Excel Report Generation, Fixed width, Data Handling, Scripting, Pandas, Data Transformation, Template Customization, Automated Reporting Solutions, multy reports.