Murilo Camargos is a data engineer with 11 years of experience building scalable data platforms and production ELT/ETL pipelines across AWS and GCP, including BigQuery, Dataflow (Apache Beam), Glue, Athena and S3. He brings a strong Python and SQL background, a PhD in Electrical Engineering with published research in applied machine learning and dynamical systems, and hands-on experience deploying CI/CD, IAM, monitoring and orchestration for terabyte-scale warehouses. Murilo has moved complex pipelines between clouds, implemented real-time distributed platforms and online ML for fault detection, and automated ingestion from diverse sources (APIs, web crawlers, PDFs) into data lakes. Comfortable from low-level DevOps to high-level analytics, he pairs research rigour with pragmatic engineering—evident in building health-check microservices, Terraform provisioning and Tableau monitoring dashboards. Based in Brazil, he now consults independently, continuing to solve challenging data problems and learn new tools.
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