Vitor

Digital transformation data engineer. Main activities:

• Design of cloud datalakes, bigdata environment.
• Design of data pipelines using ELT/ETL principles. Prepare data for optimized usage in cloud datalakes, currently using bigquery and dataproc Google Cloud Stack.
• Development of optimized Spark jobs using Scala as the main language for performance.

Data engineer responsible for designing data lakes and all data ingestion pipelines, transformation, and preparation for analytics exploration with BI tools as training machine learning models. Directly developed Spark, Scala applications for big data processing. As a developer, he also requested tooling for integration as Kafka, Elastic Search and data lake technologies, HDFS, Ceph storage, Hive, HBase.

Supported maintenance engineer of WSO2 Products as API Manager, Identity Server specially wso2 stream processor, a solution for data ingestion based on streams. Performed customer incident handling and regular support cases. Specially worked with data ingestion using Stream Processor.

Provided support for Openshift enterprise customers. It involves the support case handling up to the development of patches and features for the Openshift Platform.

Red Hat Technical Account Manager responsible to guarantee the quality of Red Hat Middleware products experience and satisfaction on strategic customers. Also, this role had to provide proactive advice and guidance to address potential problems in their solutions. This work is close to the Global Support Services and the Red Hat Engineering.

Tuning of Java EE Applications, JVM, and JBoss Application Server. Supported mission-critical and high availability systems.

Development and support of Java EE systems of Caixa Econômica Federal. EJB, struts, JMS, COBOL, Mainframe, Hibernate, and JBoss.