Cotia, São Paulo, Brazil
Data Engineer and Analytics Engineer with a career spanning IBM mainframe systems to modern AWS data lake architectures. That experience shaped how I think about architecture — not just how to build, but how to build it right. I work across the full stack: from ingestion and pipeline design to dimensional modeling and dashboard consumption, adapting to what each problem needs. ▪ AWS (Athena, Glue, Lambda, Kinesis Firehose, S3, RDS, Redshift, EventBridge) ▪ Apache Iceberg ▪ Python ▪ SQL ▪ Terraform ▪ Docker ▪ Airflow ▪ PySpark Fluent in English and Portuguese · Open to remote opportunities.
Independent projects and technical experimentation in data engineering and analytics. - Migrated 11 NHANES fixed-width datasets to data lake — extracting schema metadata directly from legacy SAS import files via regex, eliminating manual documentation - Developed analytical dataset from Ministry of Education open data — ingested CSV, modeled normalized schema, and loaded into PostgreSQL RDS - Developed analytical dataset from Gov.br open data — timeline comparison across fuel price, inflation, dollar exchange rate, minimum wage, and Brent oil - Scraped official auction data via web scraping (Selenium/BeautifulSoup), ingested into S3 and processed with Lambda - Set up local streaming environment with Kafka, Flume, and Zookeeper using Docker Compose for hands-on experimentation with event-driven architectures - Managed infrastructure as code with Terraform and Docker
Working as Data Engineer and Analytics Engineer on data platform and analytics initiatives. - Modeled batch data from Kinesis Firehose into multi-layer analytical architecture serving front-end and back-end dashboards - Replaced Redshift analytical layer with an Athena-based solution, reducing cost and infrastructure complexity - Modeled dimensional schema (star schema) with facts and dimensions for KPI metrics - Designed reprocessing strategy for GA4 late-arriving data using Apache Iceberg + S3 Express staging, ensuring data integrity for product analytics in QA - Identified architectural weaknesses and proposed event-driven solution with API Gateway + SQS + Lambda for CRM pipeline - Automated infrastructure with Serverless Framework for Lambda; used official AWS Glue Docker image for local development and testing, avoiding version conflicts and unnecessary cloud execution costs
Analytics and Data Engineer focused on user behavior and music audience data for a Brazilian music streaming platform. - Condensed streaming data into summarized analytical layers using AWS Lambda, Athena, and Glue - Integrated summarized data into Looker via community connector, developing dashboards for music streaming analysis - Modified the Looker community connector to run queries directly on Athena, eliminating an auxiliary Lambda and reducing latency - Fixed a recurring date extraction issue in the connector, ensuring data consistency across visualizations - Developed optimized SQL queries handling millions of streaming records
Data Engineer focused on analytical datasets for machine learning models. - Proposed and implemented the join of complaints, production, and sales data from BRF — sourced from SAP and CRM on Azure — to enrich features for a product complaint prediction model - Resolved temporal alignment issues across multiple sources — SAP, CRM, and production data — identifying the semantically correct date to correlate complaints with production and sales cycle - Modeled data schema for exploratory analysis of São Paulo Fire Department incidents, mapping variables to predict vehicle dispatch by type and proximity
Business Analyst focused on tax classification products for enterprise clients. - Led requirements gathering and validation meetings with enterprise clients including Ambev - Supported requirements analysis for product return processes with invoice tracking - Wrote user stories and requirements documentation for the TAXWeb tax classification product