Design and implementation of an SQL Data Warehouse ready for analysis using star schemas and dimensional modeling. ETL pipelines for loading and transforming operational data from DynamoDB (NoSQL) into relational fact and dimension tables. Data cleansing, validation, and integrity checks for reliable analysis. Structured reporting and operational dashboards for data-driven decision-making. Collaboration with stakeholders to align data models with business KPIs.

Design and implementation of data pipelines to integrate industrial, meteorological, and urban sensors into clean, synchronized datasets. Exploratory analysis and feature engineering, and Machine Learning models for short-term air quality and emission prediction.

Resource planning, materials logistics, and operational scheduling for multiple construction projects. Coordination of suppliers, technical teams, and field operations to improve efficiency and reduce delays. Administration of computer tools and data analysis.

Budgetary control, planning, stakeholder coordination, and data-driven decision-making for provincial infrastructure projects.

Production, sales, and quality data analysis to support supply planning and cost control. Operational reporting and Excel dashboards for production and regulatory compliance. Coordination of sales and inventory data to align supply with demand. Support decision-making by tracking volumes, quality metrics, and data-based workflows.