
Natalia Caballero developed a comprehensive suite of SQL queries and analytics for the IDESIE/MBIM24_SQL repository, focusing on facility, floor, space, and component data to support reporting, auditing, and facility management. She implemented robust data retrieval, reporting, and analytics features using SQL and SQL scripting, introducing aggregate statistics, advanced filtering, and cross-table joins. Her work included CRUD-like operations for component lifecycle management and improvements in repository organization for maintainability. By aligning database schemas and enhancing query readability, Natalia enabled faster, more accurate reporting and improved audit readiness, demonstrating depth in data analysis, database management, and query optimization throughout the project.

March 2025 monthly summary for IDESIE/MBIM24_SQL: Expanded data analytics capabilities, improved component lifecycle governance, and enhanced repository organization. Delivered data-driven facility management insights through consolidated analytics, governance-compliant component data operations, and clearer project structure for maintainability and onboarding.
March 2025 monthly summary for IDESIE/MBIM24_SQL: Expanded data analytics capabilities, improved component lifecycle governance, and enhanced repository organization. Delivered data-driven facility management insights through consolidated analytics, governance-compliant component data operations, and clearer project structure for maintainability and onboarding.
February 2025 monthly summary for IDESIE/MBIM24_SQL: Delivered a comprehensive Alegra data retrieval and reporting SQL suite enabling robust data extraction for facility, floor, space, and component data to support reporting and auditing. Implemented support for descriptions, selections, filtering, ordering, and conditional logic, with schema alignment and readability improvements. This work was complemented by three commits: d9c7e753f270de8f128a6e8e40c8913717479ac8 (ENTREGA); 9ecc5b5cb35f6190157941dbae8d71e74440f54e (CORRECCIONES); aea1c9a76ae4991d14b206a468531c8321020841 (MÁS CORRECCIONES). Impact: faster, more accurate reports; improved audit readiness and maintainability; demonstrated SQL development, data modeling, and readability skills.
February 2025 monthly summary for IDESIE/MBIM24_SQL: Delivered a comprehensive Alegra data retrieval and reporting SQL suite enabling robust data extraction for facility, floor, space, and component data to support reporting and auditing. Implemented support for descriptions, selections, filtering, ordering, and conditional logic, with schema alignment and readability improvements. This work was complemented by three commits: d9c7e753f270de8f128a6e8e40c8913717479ac8 (ENTREGA); 9ecc5b5cb35f6190157941dbae8d71e74440f54e (CORRECCIONES); aea1c9a76ae4991d14b206a468531c8321020841 (MÁS CORRECCIONES). Impact: faster, more accurate reports; improved audit readiness and maintainability; demonstrated SQL development, data modeling, and readability skills.
Overview of all repositories you've contributed to across your timeline