Data Engineer | DevOps | MLOps | AI

Contributed to backend development for an AI-driven sports performance analytics platform, including maintenance, bug fixes, platform improvements, and new feature implementation.

Led the migration of the platform from Azure to Google Cloud Platform and implemented a Bronze/Silver/Gold Medallion architecture. Built Cloud Run worker services consuming Pub/Sub events, used Redis for job state and idempotency, and managed Terraform-based infrastructure, CI/CD, security, gRPC services, and architecture documentation.

Designed and maintained scalable and secure data pipelines on AWS and Snowflake, with a focus on availability and performance.

Developed APIs for data access and system integration, streamlined CI/CD workflows, and orchestrated data processes using Apache Airflow and DBT Cloud in collaboration with cross-functional teams.

Designed, built, and maintained AWS data pipelines while managing infrastructure and automation through Terraform. Worked with teams to define requirements and maintain data accuracy and consistency.

Monitored and debugged Apache Airflow pipelines, participated in code reviews, and contributed to APIs and microservices. Partnered with data scientists to integrate machine learning models into production pipelines.

Designed end-to-end development lifecycles for data science projects, from ideation and implementation through deployment and monitoring.

Promoted Data Mesh and MLOps practices, contributed to a Python SDK for ETL standardization, and developed a Python library that transformed configuration files into scheduled Airflow workflows.

Supported maintenance and operational activities for the data platform and engineered automated solutions for large-scale data flows from multiple sources.

Built and maintained data ingestion pipelines using AWS, Python, Spark, Databricks, Airflow, Kafka, Docker, and Kubernetes, with observability supported by Elasticsearch, Kibana, Grafana, and Metabase.

Resolved assigned issues and managed Protheus ERP environments, applying corrections and improvements to existing engines and workflows.

Led the preparation and delivery of solution proposals, demonstrating the value and customization possibilities of Protheus solutions for clients.

Facilitated communication and collaboration among cross-functional teams to support project delivery.

Coordinated project activities, meeting schedules, and documentation, while assisting the sales team with proposals for prospects and clients.

Analyzed business requirements, rules, and processes across client areas to identify opportunities for process and system improvements.

Resolved assigned support issues and managed Protheus ERP environments while maintaining timely service delivery.

Postgraduate MBA program in Data Engineering.

Postgraduate MBA program in Project Management.

Bachelor's degree in Computer Systems.