Luis Alonso Copete Copete

Architected a high-performance API using FastAPI and Databricks SQL Warehouse, and automated CI/CD pipelines in Azure DevOps. Optimized PySpark/SQL logic in Databricks, reducing critical reporting pipeline execution time from 126 hours to under 30 minutes while ensuring 100% data accuracy.

Managed Databricks workspace administration and implemented enterprise data governance using Unity Catalog and External Locations. Designed high-performance ingestion architectures using Databricks Autoloader and ensured seamless data integration with Azure Synapse Serverless SQL.

Maintained and evolved Delta Lake Houses in Databricks, and redesigned the ETL ecosystem to reduce delta table ingestion and update times from 8 hours to under 60 minutes. Developed optimized workflows for distributed analytics using Azure Data Factory and PySpark.

Developed massive data pipelines on Azure Synapse and Azure Data Factory using SQL and PySpark for complex transformations. Engineered strategic dashboards in Power BI to provide visibility on cost indicators and infrastructure project execution.

Led the development of Business Intelligence solutions by creating advanced dashboards in Power BI for analytical monitoring of infrastructure projects. Managed visualization of key financial indicators including Earned Value Analysis (EVA), billing reports, and cost control.

Master in Artificial Intelligence with a thesis on an AI Virtual Tutor using RAG architecture, including building an unstructured data pipeline on AWS and designing a log-analytics framework.

Specialization in Project Management from 2020 to 2022.

Bachelor of Science in Environmental Engineering from 2015 to 2020.