Luis Soares Email & Phone Number

Los Angeles Metropolitan Area

• Modeled the data transformation process in order to standardize different EMR and EHR systems to the Optum platform, allowing the integration of several more services such as Epic Clarity and NAMM EHR.• Implemented databricks pipelines using Scala to execute batch transformations leveraging new business options and accelerating ETL processing on 10 times fold• Modeled queries on Snowflake for Data Analyst and Data Quality teams deliver high-quality data quickly

Charlotte, North Carolina, United States

• I designed and implemented a state-of-the-art SQL data lakehouse on Redshift from scratch, unlocking a host of advanced analytics solutions for the real estate industry.• I successfully developed innovative in-memory data processing solutions using DuckDB on an AWS ECS application, reducing the ingestion latency time 10 times fold.• I supported the CS team by providing comprehensive tech support, conducting in-depth data analysis, and closely monitoring AWS cloud infrastructure for prompt issue resolution.

Porto Alegre, Rio Grande Do Sul, Brazil

• I made available several new data streams for analytics and reporting making the integration between Online Transactional Processing (PostgreSQL, SQLServer, MySQL) and Online Analytical Processing (Redshift) ETL architectures using AWS services.• I created dynamic and user-friendly dashboards on Sisense for a diverse range of business types, enabling customers to easily track and analyze key performance metrics specific to their needs, supporting clients in making value from analytical solutions.

Porto Alegre E Região, Brasil

• I conceived and developed the first web databases for mucopolysaccharidoses, working as a full-stack developer, on a PHP-based application hugely based on a MySQL database, providing a comprehensive and accessible platform for researchers and medical professionals. This project led to a publication in a high-impact factor (4.2) scientific journal.• I conducted research in Machine Learning in R and Python, focusing on feature selection and classification of rare diseases. This involved leveraging algorithms and identifying key patterns and markers for accurate disease classification.• I created using R programming statistics pipelines for biological research. These pipelines streamlined data ingestion and standardization in order to be useful to automatically compare across species and NGS experiments.

Master Of Science - Ms, Data Management

• Research on alternative approaches for data processing on the AWS cloud, exploring innovative methods to optimize data handling.

Bachelor'S Degree, Bioinformatics

• Development and publication of MPSBase • Python Programming