Greyce Costa

Apache Spark · ETL Tools · PySpark · Data Lakes · Cluster · Big Data · Problem Solving · Data Analytics · Agile Environment · Data Processing · Database Systems · Query Writing · Linguagens de programação · Pipeline de dados · Gerenciamento de fluxo de trabalho · Modelagem de dados · Engenharia de dados · Transferência de dados · Databases · Python · SQL · Azure Data Factory · Azure Databricks

Data Engineer at Via Varejo Azure (Datafactory, databricks, pyspark), Datalake Concept. Jr Data Engineer at CERC GCP (Dataproc, Composer, Dataflow, Bigquery, Spanner, Storage) Language programming: PySpark, Python and SQL.

Cloud: GCP and Azure. Tools: Compute Engine, Jupyter Notebook, Storage, Power BI, Cloud Scheduler, Cloud Pub / Sub, Cron Tab, Data Factory, Blob storage, HDInsight(Spark Cluster Provisioning), Apache nifi. Languages Programming: Python and SQL Database: Bigquery, Azure SQL database, Apache Hive and Mysql. Activities: Webscramping, ETL.

Construction of pipelines and other solutions that require data collection, preparation, storage and processing steps. In addition, designing, modeling, structuring, inserting, modifying and retrieving structured or unstructured data efficiently, building queries and optimizing databases, either in relational or non-relational approaches.

The Electrical Engineering course aims to train professionals capable of designing, developing, operating and maintaining electrical and electronic systems and devices. During the course, students acquire knowledge in mathematics, physics, electronics, power systems, automation, control, communications and other related disciplines.

Telecommunications and IT