Valmison Brito

Creation and maintenance of ETL process and pipelines in data environment of the company Booz Allen Hamilton Using technologies as AWS EMR, Glue and S3

Creation, modeling and implementation of data structures for Machine Learning Models and Informational (BI) applications using tools from the Microsoft Azure environment. Definition of data flow rules and their persistence according to business needs. Stack: Azure Devops, Azure SQL Database, Azure Datafactory and Azure Databricks.

Working within the engineering team, collaborating with the construction of ETL's, data modeling, data processing, data extraction/ingestion pipeline, dashboards, data extraction, participating in meetings with stakeholders to survey business rules and data governance in a cloud environment (AWS, GCP) focusing on handling the company's Big Data environment with a focus on an analytical view of the data using tools such as Databricks, Delta Tables, Looker, AWS, Trino, Grafana, Jira, GitHub and languages ​such as SQL, PromQL, LookML, Python and Pyspark. Consuming data from different sources as APIs, NoSql and SQL databases. Also using tools as Grafana and dataDog for observabilty

I worked in the construction, modeling, documentation and validation of several data architectures in the Caixa Econômica Federal systems. I worked in the construction, modeling, documentation and validation of several data architectures in the Caixa Econômica Federal systems. Relational Bank (Microsoft SQL SERVER, Oracle, MySQL and DB2) and with tools like SAP PowerDesigner.

Creation, modeling and implementation of data structures for Web and Informational (BI) applications using tools from the Microsoft Azure environment. Definition of data flow rules and their persistence according to business needs. Stack: Azure Devops, Azure SQL Database, SQLDBM, Azure Devops, Azure Datalake Gen2, Azure DW, SQL and dealing with data from different sources as Salesforce.

ETL Development, maintenance and design; - Database modeling; - Business Intelligence solutions development - Data factory - Azure DW - Azure Data lake - Azure Sql Database - Azure Devops - Git - Logic Apps - Power BI - SQL

Microsoft SQL Server, SSIS and PowerBI environment management and support

Install low, medium and high complexity software; • Monitor servers/services availability; • Prepare error, performance and proactivity reports; • Create operational, managerial and performance documentation; • Respond to third-level calls; • Monitor technological migrations, new installations and other demands together with the responsible area or third-party companies; • Analyze and search for fixes for failures, errors and alerts; • Identify and report technology updates and fixes; • Apply any corrections authorized by the requesting area(s); • Manage the use of server resources; • Carry out data export/import as requested by the applicant; • Create users and groups and manage the profile; • Create/run custom queries when requested; • Update data models; • Install, configure and maintain databases; • Create information backup and recovery routines.

Install low, medium and high complexity software; • Monitor servers/services availability; • Prepare error, performance and proactivity reports; • Create operational, managerial and performance documentation; • Respond to third-level calls; • Monitor technological migrations, new installations and other demands together with the responsible area or third-party companies; • Analyze and search for fixes for failures, errors and alerts; • Identify and report technology updates and fixes; • Apply any corrections authorized by the requesting area(s); • Manage the use of server resources; • Carry out data export/import as requested by the applicant; • Create users and groups and manage the profile; • Create/run custom queries when requested; • Update data models; • Install, configure and maintain databases; • Create information backup and recovery routines.