Platform Engineer / Cloud Platform Engineer

Architected, maintained, and evolved AWS database platform products across a multi-account ecosystem spanning thousands of accounts. Supported services including RDS, Aurora, DynamoDB, ElastiCache, Valkey, Redis, OpenSearch, and AWS DMS.

Engineered self-service automation platforms and infrastructure using Terraform, GitHub Actions, Python, and SQL to streamline cloud resource provisioning and database script execution across multiple AWS accounts.

Led database operational excellence and platform evolution, including automation, product pipelines, engine upgrades, parameter management, and backup and export strategies. Served as Technical Lead for the Cloud Data team, directing technical decisions, delivery ownership, prioritization, incident troubleshooting, and stakeholder alignment.

Worked as a Data Engineer on the ENEL project, developing and maintaining data ingestion and ETL processes within the Hadoop ecosystem using HDFS and Hive.

Created Spark and PySpark scripts for data transformation, processing, and technical analysis supporting large-scale data workflows.

Built analytical reports and dashboards with Spotfire and Tableau, translating technical requirements into actionable data insights.

Provided technical support to end users for workstations, software, and general IT-related issues.

Performed data table manipulation and routine data-handling activities for internal operational needs.

Developed reports and organized information to support business and technical teams.

Postgraduate program in Software Architecture.

Bachelor's degree in Computer Science.