Data platforms
Ingestion, orchestration and medallion pipelines designed for traceability, idempotency and reprocessing.
Spark · Airflow · Pandas · S3 · PostgreSQLSystems by design. Performance by default.
I build 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 · CLIENT PROJECT
A high-throughput platform for ingesting 40GB+ compressed batches (ZIP, RAR) 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
Data platforms and end-to-end delivery across fintech, payments, energy, ticketing and secure exam systems — Spark, Airflow, AWS lakehouse, FastAPI, React and Laravel, including an NFe ingestion platform for 40 GB+ compressed batches.
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.
Large-catalog e-commerce automation and analytics — product page generation cut from hours to seconds and structured tracking for Google Enhanced Ecommerce, on PHP, Solr, MySQL 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.
GenAI & LLM specialization at PUC-Rio (2026)
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.