Renan T.

I focus on data engineering, software engineering, ETL/ELT, SQL reporting, high-volume data flows, and development of robust APIs using Java and Scala. I prioritize three key elements: reliability, efficiency, and simplicity. I hold a Bachelor's degree in Information Systems from Pontifícia Universidade Católica do Rio Grande do Sul as well as graduate degrees in Software Engineering from Infnet/FGV and Data Science (Big Data) from IGTI. In addition to my academic qualifications I have acquired a set of certifications: - Databricks Certified Data Engineer Professional - AWS Certified Solutions Architect – Associate - Databricks Certified Associate Developer for Apache Spark 3.0 - AWS Certified Cloud Practitioner - Databricks Certified Data Engineer Associate - Academy Accreditation - Databricks Lakehouse Fundamentals - Microsoft Certified: Azure Data Engineer Associate - Microsoft Certified: DP-200 Implementing an Azure Data Solution - Microsoft Certified: DP-201 Designing an Azure Data Solution - Microsoft Certified: Azure Data Fundamentals - Microsoft Certified: Azure Fundamentals - Cloudera CCA Spark and Hadoop Developer - Oracle Certified Professional, Java SE 6 Programmer My professional journey has been marked by a deep involvement in the world of Big Data solutions. I've fine-tuned my skills with Apache Spark, Apache Flink, Hadoop, and a range of associated technologies such as HBase, Cassandra, MongoDB, Ignite, MapReduce, Apache Pig, Apache Crunch and RHadoop. Initially, I worked extensively with on-premise environments but over the past five years my focus has shifted predominantly to cloud based platforms. I've dedicated over two years to mastering Azure and I’m currently immersed in AWS. I have a great experience with Linux environments as well as strong knowledge in programming languages like Scala (8+ years) and Java (15+ years). In my earlier career phases, I had experience working with Java web applications and Java EE applications, primarily leveraging the WebLogic application server and databases like SQL Server, MySQL, and Oracle.