Data platforms
Ingestion, orchestration and medallion pipelines designed for traceability, idempotency and reprocessing.
Spark · Airflow · Pandas · S3 · PostgreSQLSystems by design. Performance by default.
Senior Software & Data Engineer building reliable data platforms, scalable backends and observable systems.
01 / PROFILE
I work where data, backend architecture and production performance meet. My focus is turning complex business workflows into systems that are easier to operate, observe and evolve.
Since 2013, I have built and modernized software across fintech, ERP, education, IoT, mining and data-intensive platforms — from small product teams to critical, large-scale systems.
I stay hands-on: designing architecture, writing production code, diagnosing bottlenecks, improving delivery practices and helping engineers make better technical decisions.
02 / OPERATING MODEL
Ingestion, orchestration and medallion pipelines designed for traceability, idempotency and reprocessing.
Spark · Airflow · Pandas · S3 · PostgreSQLPragmatic APIs and modular systems that keep business rules clear while scaling safely.
Python · FastAPI · Django · Node.js · RabbitMQProfiling, bottleneck removal, asynchronous workloads and high-availability thinking built into delivery.
Kubernetes · Redis · AWS · Queues · CI/CDProduction signals that connect traces, metrics and logs to user and business impact.
OpenTelemetry · Prometheus · Grafana · APM03 / SELECTED WORK
DATA PLATFORM · OWN PRODUCT
A high-throughput platform for ingesting 20GB+ ZIP batches of Brazilian invoices under strict memory and processing constraints, with live job progress and business dashboards.
FINTECH · END-TO-END DELIVERY
Loan simulation and proposal lifecycle features combining complex backend rules, integrations and traceable data layers.
ERP · LEGACY MODERNIZATION
Led the evolution of a legacy monolith into a modular, domain-oriented architecture, centralizing business rules and moving long processes to queues.
MINING / IOT · PRODUCTION SCALE
Improved performance and operability for real-time vehicle tracking, removing bottlenecks across messaging, APIs and heterogeneous data stores.
04 / EXPERIENCE
Long-term data engineering engagement focused on reliable data systems in an enterprise environment.
End-to-end delivery across fintech, payments, ticketing and secure educational systems using Python, React, TypeScript, Laravel, NestJS and Django.
Data-heavy survey systems and real-time mining operations, with a focus on architecture, performance and team delivery.
International SaaS products, ERP modernization, engineering education and internal automation spanning Python, JavaScript, Vue, PHP and AWS.
05 / CURRENT LEARNING
My current study loop connects applied AI with the systems work I already do: building useful AI capabilities, evaluating them in production, and integrating them into reliable data and backend architectures.
Applied AI specialization at UFPR
Coordination, evaluation and operational patterns
Efficient services, tooling and concurrent workloads
Hexagonal design, telemetry and performance
06 / CONTACT
Open to senior software and data engineering conversations, technical collaboration and B2B consulting.