Luis Leandro

Led the development of ML solutions for image/video processing, process optimization, and decision-making. Built supervised/unsupervised models, scalable data pipelines, and optimized ETL. Collaborated on data integration, created visualizations, and applied NLP for insights. Managed deployments with Docker, Kubernetes, and Git. Developed internal tools with Java, NoSQL, SQL, and ML. Ensured data integrity.

Automated ETL processes with Python, optimizing data extraction, transformation, and loading for increased efficiency. Built robust data pipelines using SQL, PySpark, Airflow, Hive, and Hadoop to enhance data accessibility. Conducted complex analyses and created reports with Tableau, PowerBI, and Pentaho. Ensured data accuracy through SQL queries and optimized ETL for quality and consistency.

Designed and developed full-stack search engines, improving search functionality and user experience. Utilized Elasticsearch and Solr for efficient data storage and retrieval. Implemented CI/CD with AWS, Azure, Docker, Git, and Kubernetes, reducing deployment time by 40%. Built Python services with Flask and AWS to enhance performance and scalability. Managed ETL processes with PySpark, Databricks, SSIS, and DBT for seamless data integration.