I'm a Data Engineer and Software Developer with a solid track record in developing robust and efficient solutions. Throughout my career, I have worked with various languages and tools, always with a focus on transforming data into valuable information for strategic decision-making. My expertise ranges from the architecture and development of data systems to the implementation of ETL/ELT processes and scalable data pipelines.I have strong software development skills (iOS - Obj-C, Swift), as well as extensive experience with Business Intelligence (Power BI), Python (Pandas, Scikit-learn, Seaborn, Matplotlib), and Spark with PySpark. My work also extends to data manipulation and applied statistics, with an emphasis on linear and logistic regressions, exploratory data analysis and decision trees. As a data engineer, I am familiar with creating and maintaining systems that ensure data is collected, ingested and processed efficiently and securely.My skills include working with SQL (Postgres) and NoSQL (MongoDB, Redis, Cassandra) databases, as well as experience in the Hadoop ecosystem, using tools such as Hive, Minio, Zookeeper, and Spark. I also work with data ingestion solutions (Kafka, NiFi) and cloud storage (S3, Azure Blob, Google Cloud Storage). Since 2020, I've been freelancing, developing and continuously improving mobile applications (iOS - Obj-C, Swift), focusing on API integration, unit testing and code maintenance. My previous experience includes software development in companies such as ML Comunicação and VTX Brasil, where I contributed directly to the technological growth and innovation of digital products.My goal is to continue evolving in the area of data engineering, using my experience in big data and data analysis to solve complex problems, always with a focus on creating solutions that promote strategic value for organizations. I'm looking for challenges that will allow me to leverage my knowledge of Python, Spark, Power BI, and data science tools in general.