Matias Magne 👋

Data Engineer with 4 years of experience designing and implementing data pipelines on AWS. I currently work at Prisma Medio de Pagos, where I integrate mainframe systems (EBCDIC/COBOL) with cloud services for card processing operations. I design PySpark pipelines running on EMR clusters, manage Apache Iceberg tables as the analytical layer, and synchronize data to DynamoDB. Orchestration is handled via Step Functions, Lambda, and EventBridge, with deployment through GitLab CI/CD. In previous roles, I worked with Snowflake, Redshift, AWS Glue, and Airflow, leading migrations from SAP HANA and Oracle, developing Python REST APIs, and building reporting solutions in Power BI and Tableau. Areas of focus: - Design of batch and near real-time data pipelines on AWS- Integration of legacy systems with modern cloud architectures- Production incident response and root cause analysis- Technical documentation and code review Core stack: Python · SQL · PySpark · AWS EMR · Glue · Lambda · Step Functions · S3 · DynamoDB · Athena, KMS · Apache Iceberg · Snowflake · Databricks · Redshift · Airflow · GitLab CI/CD Open to conversations on data architecture, cloud integrations, and data engineering opportunities.