awslabs/aws-athena-query-federation
May 2025 – May 2025
1 Month active
Languages Used
PythonTypeScript
Technical Skills
AWS CDKAWS GlueAWS RDSCloud InfrastructureETL DevelopmentInfrastructure as Code
Mario Rial Amado
PROFILE
Mario Rial Amado
During May 2025, Marmado focused on modernizing ETL infrastructure for the aws-athena-query-federation repository. They upgraded the AWS Glue environment to version 4.0, improving stability and performance for data pipelines. Marmado enhanced security by integrating the RDS Data API and AWS Secrets Manager, ensuring secure database connectivity. To prevent misconfigurations, they implemented conditional Data API enablement for PostgreSQL. Using Python and TypeScript, Marmado also strengthened Redshift Glue SQL execution with robust logging and error handling. By standardizing ETL configurations across stacks, they accelerated deployment reliability and improved data freshness, security, and operational stability for cloud-based analytics workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
1
Lines of code
218
Activity Months1
Your Network
1500 peopleShared Repositories
13
Work History
May 2025
4 Commits • 1 Features
May 1, 2025May 2025 monthly summary: Focused on delivering secure, scalable ETL modernization for the aws-athena-query-federation project. Upgraded AWS Glue to v4.0, hardened DB connectivity using RDS Data API and Secrets Manager, and introduced conditional Data API enablement for PostgreSQL to prevent misconfigurations. Strengthened Redshift Glue SQL execution with robust logging and error handling, and standardized ETL configurations across stacks to accelerate reliable deployments. These changes improved data reliability, deployment velocity, and security posture, delivering measurable business value in data freshness, security, and operational stability.
4 Commits • 1 Features
May 1, 2025May 2025 monthly summary: Focused on delivering secure, scalable ETL modernization for the aws-athena-query-federation project. Upgraded AWS Glue to v4.0, hardened DB connectivity using RDS Data API and Secrets Manager, and introduced conditional Data API enablement for PostgreSQL to prevent misconfigurations. Strengthened Redshift Glue SQL execution with robust logging and error handling, and standardized ETL configurations across stacks to accelerate reliable deployments. These changes improved data reliability, deployment velocity, and security posture, delivering measurable business value in data freshness, security, and operational stability.
May 2025
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture85.0%
Performance80.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
PythonTypeScript
Technical Skills
AWS CDKAWS GlueAWS RDSCloud InfrastructureETL DevelopmentInfrastructure as CodePythonRedshiftTypeScriptcloud infrastructure
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