Bernardo Ragonezi Silva Lopes

Established data-team standards and processes to build a data-driven culture. Migrated infrastructure from AWS to GCP with Terraform, deployed Airflow and Metabase on GKE, and designed a secure HIPAA-compliant data environment using GCS and BigQuery.

Improved data infrastructure by hosting tools like Airflow on Kubernetes and building ETL pipelines using object-oriented Python with design patterns.

Supported business teams with scalable, secure data pipelines using Airflow orchestration and Python/PySpark ingestion with dbt transformations. Defined standard ingestion tools (NiFi, Airbyte), created reusable template functions to speed development, and built GitHub Actions CI/CD pipelines.

Built and maintained a GCP data platform using Terraform for scalable, high-processing workloads. Implemented streaming and batch pipelines with Apache Beam, Kafka, and Spark, deployed Astronomer on GKE, and set up Datadog monitoring and GitLab CI/CD.

Created and maintained big data pipelines using AWS for scalable streaming and batch ingestion/processing. Implemented parallel PySpark jobs on EMR clusters to handle very large data volumes.

Built Python/Pentaho ETLs integrating multiple data sources including MySQL, MongoDB, and Salesforce, and developed Tableau dashboards for customers and internal managers. Implemented Salesforce automations with APEX and stored/processed data using AWS.

Performed data treatment with Python and integrated systems via APIs. Created strategic Tableau dashboards and continuously improved the Salesforce environment.

Assisted with internal and external network incident handling and supported the implementation of wireless network changes. Helped optimize network topologies as part of ongoing network support.

MBA in Data Engineering at FIAP from 2026 to 2027.

Bachelor’s degree in computer engineering at PUC-MG from 2020 to 2024.

Integrated technical education in electronics at Colégio Técnico da UFMG (COLTEC) from 2012 to 2014.