Collaborated with Itau Bank to develop a data-as-a-service platform aimed at delivering actionable insights to clients. Key responsibilities included:- Engineered and implemented automated ETL pipelines utilizing PySpark and SQL on the AWS Glue serverless ETL platform.- Designed and deployed distributed, scalable data stores adhering to the data mesh paradigm, encompassing both relational (AWS RDS/Aurora) and NoSQL databases (e.g., AWS DynamoDB).- Orchestrated cloud… Show more Collaborated with Itau Bank to develop a data-as-a-service platform aimed at delivering actionable insights to clients. Key responsibilities included:- Engineered and implemented automated ETL pipelines utilizing PySpark and SQL on the AWS Glue serverless ETL platform.- Designed and deployed distributed, scalable data stores adhering to the data mesh paradigm, encompassing both relational (AWS RDS/Aurora) and NoSQL databases (e.g., AWS DynamoDB).- Orchestrated cloud infrastructure using infrastructure-as-code (IaC) tools such as Terraform, CloudFormation, and SDKs, seamlessly integrating various services including Step Functions, SNS, SQS, EventBridge, Lambda, Kinesis, and EC2.- Developed Python scripts (Pandas, Polars, and DuckDB) to validate and verify ETL workflows, encompassing unit and functional testing.- Executed ad hoc SQL queries within Apache Hive and Apache Impala to distill business insights stored within Hadoop clusters. Show less

- Collect, clean and transform data- Generate dashboards, analysis and insights- Automate data availability and decision making processes- Implement and track metrics (KPIs) for recording the performance of the company (e.g. NPL, PDD, FPD)- Ad-hoc analysis for short-term fintech strategy adjustment- Data viz: Power BI & Metabase- Data handling: Python (Pandas & Numpy), SQL (PostgreSQL & Redshift), Amazon EMR (PySpark), ExcelI was committed to using my skills and… Show more - Collect, clean and transform data- Generate dashboards, analysis and insights- Automate data availability and decision making processes- Implement and track metrics (KPIs) for recording the performance of the company (e.g. NPL, PDD, FPD)- Ad-hoc analysis for short-term fintech strategy adjustment- Data viz: Power BI & Metabase- Data handling: Python (Pandas & Numpy), SQL (PostgreSQL & Redshift), Amazon EMR (PySpark), ExcelI was committed to using my skills and knowledge to support data-driven decision-making and drive the success of the company. Show less

As a software engineering intern at a company that uses Python, Docker, Falcon API, and offers anti-fraud services, I was responsible for assisting the software engineering team with a variety of tasks. This included working on small development projects related to the company's anti-fraud services, helping to maintain and troubleshoot existing applications, and learning about the technologies and processes used by the team.

Undergraduate research project conducted at the Institute of Mathematics and Computer Science at the University of São Paulo (ICMC-USP) and sponsored by the São Paulo Research Foundation (FAPESP), which aimed to evaluate the accuracy of atmospheric turbulence simulations using Direct Numerical Simulation (DNS) and Large Eddy Simulation (LES) techniques. The project utilized Python for data analysis and visualization, with a focus on improving the performance of these simulations.

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