Led the end-to-end design of cloud-native data architectures and databases for a high-volume inventory and sales system serving a major retail chain. Spearheaded the development of a fully custom management platform, integrating logging, reporting, and analytics for both local and international clients. Acted as a trusted advisor on Big Data, Generative AI, and cloud migration initiatives, supporting innovation workshops and long-term strategies. Delivered performance-optimized data workflows and implemented best practices in data governance, scalability, and cost efficiency. Designed robust cross-cloud database models leveraging AWS, GCP, and Azure.

Acted as senior consultant for an Azure-based analytics initiative, supporting a global client’s digital transformation. Designed and executed the full project lifecycle — from data modeling and orchestration to implementation — ensuring governance and compliance. Built batch pipelines using Azure Data Factory and Databricks, enabling advanced analytics and automated KPI reporting. Architected a secure and scalable data warehouse layer with Azure Synapse Analytics and Delta Lake. Designed and deployed Grafana and Prometheus dashboards to monitor AI agents in real time, providing conversion funnel visibility for qualified leads. Partnered with stakeholders to translate business needs into scalable data solutions, empowering analysts and scientists with a trusted data ecosystem.

Spearheaded the design and execution of comprehensive data strategies across Latin America, achieving a 30% increase in sales through advanced customer profiling and data-driven segmentation. Developed a versatile customer platform on AWS, integrating services such as S3, Lambda, and Redshift to streamline data processing and analytics, resulting in a 20% boost in revenue. Fostered an innovation-driven environment by leading a team of specialists in implementing cutting-edge Big Data and Machine Learning solutions. Led the design and implementation of robust data architectures, improving data retrieval speeds by 65% and reducing storage costs by 30% through efficient ETL management and cloud-based solutions. Conducted bi-weekly code reviews to identify and resolve potential vulnerabilities, achieving a 35% reduction in system errors and enhancing code quality through tools such as Git, Jenkins, and SonarQube over a two-year period. Increased system availability by 25% over 12 months by implementing high-availability clusters and automated failover mechanisms, ensuring 99.9% uptime and seamless continuity.

Transformed data operations, scaling a startup into a key player with over 300 employees through strategic data architecture and effective team leadership. Pioneered the development of a Big Data analytics platform utilizing AWS technologies, facilitating rapid decision-making and operational efficiency. Led the migration of over 500,000 records to a new data management system, enhancing data retrieval efficiency by 35% and ensuring full data integrity through SQL and Python-based ETL processes. Implemented robust data modeling techniques, reducing data retrieval times by 25% over two years by constructing scalable, efficient data schemas using SQL and Python for multiple enterprise projects. Improved platform performance by 23% over 12 months through strategic implementation of advanced data analytics tools like SQL, Python, and Tableau, significantly enhancing user engagement metrics and system efficiency. Optimized data processing flows by integrating Java-based solutions, resulting in a 25% increase in processing speed and a 15% reduction in latency over an 8-month period.

Led digital transformation by migrating from traditional RDBMS to a modern Data Lake architecture, significantly enhancing data scalability and accessibility across the organization. Designed and implemented a comprehensive Digital Ecosystem on AWS, incorporating tools like Apache Cassandra, Spark, and Kafka, achieving a 50% improvement in data processing times and customer satisfaction. Directed the development and adoption of Big Data strategies, optimizing operations and reducing costs by 30% through the integration of cloud and open-source technologies. Played a pivotal role in establishing solid data governance protocols, ensuring compliance and data security across platforms, contributing to enhanced business intelligence capabilities. Mentored and led a team of data professionals in adopting agile practices and technologies, fostering a culture of innovation and continuous improvement.