I am a Data Engineer with a strong analytical background (5+ years in data) and a proven track record of architecting scalable, cost-optimized cloud solutions. I specialize in the end-to-end data lifecycleβfrom extracting complex data across disparate sources to modeling and serving it for high-impact analytics.
My workflow is deeply rooted in modern data stack principles and software engineering best practices. I build resilient, event-driven architectures and deploy custom REST APIs to streamline integrations. My technical toolkit includes Python (Pandas, Boto3) and dbt for complex data transformations, Docker for containerization, and Terraform (IaC) for provisioning robust AWS ecosystems (Glue, EMR, DynamoDB, DMS, API Gateway).
Having transitioned from a Data Analyst role, I bring a unique, business-centric perspective to data engineering. I understand exactly what downstream consumers need, bridging the gap between raw data lakes and actionable insights using advanced SQL, DAX, Power BI, and Metabase to serve finance and operations teams.
Currently, I am focused on refining Lakehouse architectures, implementing data observability, and building scalable API integrations. Fluent in English and highly experienced in collaborating with international teams
| π Nationality | π§π· Brazil |
| π‘ Residency | π§π· Brazil |
| π Location | π§π· Brazil |
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| Skilled in | python sql power bi aws data engineering data analysis bi automation excel vba api english dax |
| Fluent in | portugueseenglish |
| Preferred timezone | 0, +1, +2, +3, +4, +5 |
| Preferred annual pay (min) | $30,000/year |
| Preferred hourly pay (min) | $10/hour |
| Last seen | 6 days ago |
| Signed up | 1 year ago |
| Badges |
π¨βπ» Remote worker π Early adopter |
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