I build data platforms for structured credit. Over 5+ years at a Brazilian securitization firm that manages receivables investment funds (FIDCs), I moved from analyst to data engineer, turning complex financial rules (present value, credit provisioning, reconciliation) into modular, tested and observable pipelines on GCP.
| 6–8 h → ~30 s | 10 days → 1 day | 6 funds |
|---|---|---|
| fund-portfolio generation, rebuilt on BigQuery/Dataform, Cloud Run and Cloud Workflows | to onboard a new fund, thanks to a configuration-driven design | in production on one codebase, with data-quality assertions and step-level tracking |
| Project | What it shows |
|---|---|
| fidc-receivables-lakehouse | Daily valuation of a receivables fund: idempotent file ingestion with a SHA-256 ledger, an event ledger, 252-business-day pricing, loss provisioning, incremental snapshots and a ledger-reconciliation test that caught a real bug. DuckDB + dbt + CI. |
| reconciliation-toolkit | Cash application (payments ↔ receivables), OFX/CSV bank statements with dedup and balance continuity, dataset comparison and file-health checks. |
| ecommerce-price-tracker | Price history from Mercado Livre and the Shopee API. Separates real deals from fake discounts using trailing baselines and SCD2, and tests the classifier against ground truth. |
| weather-data-pipeline | Airflow + dbt + Postgres + Superset in Docker. Hourly idempotent ingestion with a replayable JSONB payload; CI runs the real pipeline. |
| dropkit | Monitoring for the files partners send you: delivery SLAs on the B3 business-day calendar, SQL job alerts that fire once, Teams/Slack notifications, plus transfer, search, unzip and consolidation over local, S3 and SFTP. |
| csv-layout-validator | YAML data contracts for partner files: typed rules, CPF/CNPJ, cross-column checks, CI-friendly reports. |
| cnab-toolkit | Spec-driven generator, parser and validator for Brazilian fixed-width banking files, with layout linting and property-based tests. |
Certifications: Google Build a Data Warehouse with BigQuery · dbt Fundamentals · Databricks Fundamentals. MBA in Business Management at FGV (in progress). Languages: Portuguese (native), English (fluent), Spanish (intermediate).
