- Worked on a project with global impact on Intel sales team as outsourcing employee.
- Creation a pipeline, architecture and codes to generate improvements in the fiscalization process on a federal company.
- Participation in a database migration, from MongoDB to AWS RDS Postgres.
- Creation a Row Level Security using SQL in Metabase.
Main achievements
Experience
Period: 6 months
Position: Data Engineer / Mid Level / Outsourced employee
Company: Luby - Software Consulting
Period: 2 years 8 months
Position: Data Engineer / Mid Level
Competences
Main Skills
- Python; Spark; SQL; AWS
Worked Segments
- Global IT Company; Lawyer Startup; Accounting; Lawyer/Fintech; Fintech Startup; Stock Broker; Online Betting
Stack
- Artificial Intelligence; AZ-900 and Databricks; AWS, Azure and GCP; Databricks Azure; SSAS - SQL Server Analytical Services; Programming languages: Python, SQL, Scala, C, C++, Java, PL/SQL, PowerShell and SAQL; Pentaho, Azure Data Factory and AWS Glue; Postgres, Sql Server, MySQL, Oracle and MongoDB; AWS Redshift, GCP BigQuery, Snowflake and Dremio; Spark Python; Terraform; AWS S3, Azure Storage Account and GCP Cloud Storage; Insomnia; AWS EC2 and Contabo; Docker/Docker Compose; Airflow; AWS Athena and SQL; Github Actions and Copado; AWS IAM; Git, Github and Gitlab; Power BI, Metabase and Analytics Studio; Selenium Python; Imperative and Object-oriented; SCRUM and Kanban; Clickup, Jira and Trello
Certifications
Databricks Lakehouse Fundamentals
Microsoft Certified: Azure Fundamentals
Education
M.Sc. Artificial Intelligence
Many Objective Optimization
B.S. Computer Engineering
Internet of Thing and Automation
Languages
English - Advanced
French - Basic
Portuguese - Native speaker