I work on developing data solutions covering integration, modeling, processing and analysis.Among the main projects, I have implemented data pipelines using tools such as Airflow, Airbyte, Redshift, Delta Lake, MySQL, PostgreSQL, DuckDB, AWS Glue.I focus on delivering scalable, efficient solutions aligned with business needs.Used tools: Python, PySpark, AWS (Glue, Lambda, S3, EC2, EB, Step Functions, Redshift, Data Pipeline), Airbyte, Airflow, Docker, Terraform, dbt, MySQL, PostgreSQL, Metabase, and others.

Achievements: Delivered efficient data pipeline refactoring and robust ETL solutions using open-source and AWS-managed services.Data Platform: Refactored and implemented data pipeline code, ensuring high performance and maintainability.ETLs: Implemented and monitored ETL pipelines, utilizing tools like Apache Airflow for task automation and monitoring.Data Management: Deployed, created, maintained, and optimized databases to support various business needs.Programming Best Practices: Ensured code robustness by implementing tests and following best practices in programming, including documentation, clean code, and SOLID principles.Technologies: Leveraged open-source technologies and AWS-managed services to build scalable data solutions.Soft Skills: Demonstrated proactivity, adaptability, and effective communication within Agile methodology frameworks.

As a member of the data platform team, I worked in an observability and BI context using NoSQL, where I developed various competencies in data visualization, ETL processes, and NoSQL modeling. My key responsibilities and achievements included:Achievements: Delivered robust data modeling and analytics solutions, including the development of comprehensive dashboards.Data Platform: Worked in an observability and BI context using NoSQL.Data Visualization: Created dashboards and performed data analysis with Kibana (Discover, Dashboards, Visualizations, Vega, TSVB, Canvas, Machine Learning).ETLs: Developed ETL processes using Logstash and/or Python.NoSQL Modeling: Modeled data for Elasticsearch management and collection using Beats.Data Modelling (BI): Defined KPIs and created dashboards.Web Technologies: Utilized CSS, HTML, and JavaScript for front-end tasks.Container Orchestration: Managed containers using Docker Compose.Version Control: Implemented best practices for versioning using Git Flow and Conventional Commits.Methodologies: Adopted Agile methodologies to ensure efficient project management.Soft Skills: Demonstrated proactivity, adaptability, communication, and a growth mindset.👉🏼 During this period, I ranked 9th in the 2022 ranking (South America and North America) of the Elastic contribution program.