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Renata Costa

@renatacm

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Platform engineer specializing in AWS data platforms and reliable CI/CD. Remote — Brazil (GMT-3) | EU citizen

Brazil

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What I'm looking for

I’m looking to build reliable AWS data platforms with strong data governance, clean code standards, and automation through Terraform and CI/CD—working closely with teams to ship scalable microservices and operational excellence.

I’m a Platform Engineer focused on building and scaling AWS-based data platforms that support reliable infrastructure growth. I worked on replicating and implementing the data stack using Trino and Airflow in new AWS accounts for global infrastructure expansions.

I maintain a robust data lake with S3, AWS Glue, and distributed processing via Airflow (EMR and Spark on Kubernetes). I also implement governance and operational excellence, including issue triage, bug investigation, and technical review of Merge Requests to ensure platform quality and standards (including SOX compliance).

Previously, I implemented Airflow on AWS using Terraform, ECS, and Docker, deployed Metabase on RDS with Postgres. Earlier, I planned and built an ingestion tool (.xlsx to Redshift) using Python (FastAPI), React, and Infrastructure as Code—along with a Datahub-based data governance platform and serverless microservices for metadata ingestion.

Experience

Work history, roles, and key accomplishments

Platform Engineer

Sep 2024 - Apr 2026 (1 year 7 months)

Scaled global infra in highly regulated environments (SOX/LGPD). Implemented AWS data stacks via Trino/Airflow and managed S3 Data Lakes with Glue and Spark on K8s. Enforced strict compliance through IAM and S3 Bucket Policies. Create microservice and ensured platform quality through MR reviews and incident troubleshooting, Contributed to a Data Mesh orientated environment.

Trino Apache Airflow Amazon S3 AWS Glue Amazon EMR Kubernetes S3 Bucket Policies Data Governance SOX Compliance

Platform Engineer

Embarca

Mar 2024 - Sep 2024 (6 months)

Implemented a scalable Data Platform using Terraform to provision Airflow on AWS (ECS/Docker), ensuring resource isolation and per-DAG scaling. Deployed Metabase with RDS (Postgres) via IaC to enable self-service visualization.
Focused on building a highly available, manageable infrastructure designed for stability and ease of maintenance through Infrastructure as Code.

Apache Airflow Terraform Amazon ECS Docker Metabase Amazon RDS PostgreSQL

Platform Engineer

MadeiraMadeira

Jun 2021 - Jan 2024 (2 years 7 months)

Planned and built a data ingestion tool to converting .xlsx files to Redshift using Python (FastAPI) and React, managed with Terraform and AWS services. Implemented a DataHub-based data governance platform and serverless metadata ingestion using DynamoDB, Lambda, and CloudWatch, and co-developed an internal Python library to standardize engineering processes.