Matheus Manfio Email & Phone Number

State Of São Paulo, Brazil

São Paulo, Brasil

Cloud architecting and developing in main aws services.Analytics:Athena, EMR, Glue, Kinesis e LakeFormationApplication Integration:EventBridge and SQSCompute:Lambda and EC2Database:DynamoDBStorage:S3Management and governance:CloudFormation, CloudWatch and Trusted AdvisorContent Delivery:API GatewayExternal tools:Airflow, Nifi, GitHub/Gitlab, Postman, JupyterHub, etcProgramming languages:Pyspark e Python

São Paulo, Brasil

Reckitt Benckiser:- Project Python Automate: Automation of file generation to input Machine Learning algorithm, project entirely developed in python.- Management Dashboard Project: Some Dashboards made in the Power BI tool where the subject was about marketing/advertising campaigns for the company's main products.- Project Lake Google Cloud: Database made with marketing/advertising files made available in buckets, APIs or even data from Google ADS/DV360 itself. BigQuery, Scheduler, Functions and Storage services were used.Rede:- AWS Project: architecture structuring, process development and automation.S3 for data input, where etl was made available for the end customer to consume via API. As a devops aid, we use Git together with Terraform to implement new features in AWS in general. The services Glue, Lambda, Dynamodb, S3, Athena, Zeppelin and for ETL development, Pyspark were used. Fully automatic process from start to finish.Abbott:- AWS Project: architecture, development and process automation.SFTP for input, Cloud9 for processing and Redshift for providing and transforming data. Final layer made in PowerBI.

São Paulo E Região

Aijus Semantix:- Creation of web crawler, response were used to input another algorithms. Python, beautifulSoup and Selenium used as main technology.Mackenzie University:- Business Intelligence Project: dashboard delivery of strategic information to executive board of the university. SQL Server, Streamsets and Power BI were used.Carrefour:- Responsible for the databases used throughout the business analysis area, applying all the necessary rules for the data to be used in Tableau and Excel, technologies used were Python, Spark, HDFS, Yarn, Hive, SQL Developer.

Santander Bank:- Centralized Ingestion Squad: Ingestions made in the Data Lake of the tables that could come both from mainframe level or somewhere else, where the main tools used were Shell Script, Python, Spark, Hive and HDFS always on “on premise” cloudera mode- Smart Tables Project: Data Lake ingestions of tables for internal customers, where the tables had business rules applied.In both projects, several tools were used that were internal to Santander and market ones such as Jira, Confluence and Control M.

São Paulo E Região

Itaú- Captura project: Ingestion from mainframe and teradata to Hadoop ecosystem, hdfs and she’ll script used as main technology.

São Paulo E Região

Quality assurance of company main market tools for integration with banks services, even multiple ones. Manual and automated testing with HP-ALM tool, selenium were used