Creation of solutions for data visualization using Tableau and PowerBI; Development of a customer segmentation algorithm with KNN clustering algorithm; Creation of data extraction from SAP Data service and Salesforce Marketing cloud; Construction of ETL jobs using AWS GLUE and databricks; Extraction, transformation and loading of data using Python, Pyspark and SQL; Reduction of cloud costs using lifecycle rules in AWS S3, and Databricks history management with vacuum operations; Planning and carrying out migrations of workflows present in AWS GLUE to the Databricks environment; Pipeline maintenance with data streaming using Pyspark; Technical support to the data team to resolve technical problems; Creation of automations in AzureDevOps using terraform, for AWS solutions and databricks jobs; Governance of Delta Lakehouse and Data Warehouse environments using AWS S3, Snowflake and Databricks;

Experience processing biological signals using digital filter techniques, FFT, wavelet transform and peak detection algorithms; Leadership of the prototyping and development project of a portable ECG, participating in stages in its hardware and software construction, as well as processing the collected signal, serving as a validation device for the developed algorithms; Creation of machine learning models such as the drowsiness and cardiac arrhythmia detection model, with supervised learning techniques using tools such as sklearn, tensorflow lite, pandas, numpy, scipy, pytorch among other data analysis libraries; Experience with building the data ingestion pipeline, using AWS services such as s3, timestreamdb and dynamodb and tools such as pyspark; Experience with SQL language for developing the data pipeline, as well as building data analysis reports;

Database management and manipulation with PostgreSQL; Development of data ingestion pipelines; Development of predictive models, using sklearn.

Web development using Java, with a focus on extracting and visualizing databasesof exchange students.