Marcus Vicentini
Uberlândia
Summary
Responsive expert experienced in monitoring database performance, troubleshooting issues and optimizing database environment as well as developing modern data pipelines.
Possesses strong analytical skills, excellent problem-solving abilities, and deep understanding of database technologies and systems. Equally confident working independently and collaboratively as needed and utilizing excellent communication skills.
Overview
1
1
year of professional experience
Work History
Data Engineer
Just a Little Data / Unlock Knowledge
São Paulo, Sao Paulo, Brazil
09.2022 - Current
- Responsible for data pipelines development and maintenance, data modeling, security, governance and also the infrastructure regarding all data lifecycle such as docker containers, virtual machines and orchestration services
- Modern Data Stack Development using AWS and GCP and open source technologies such as Airflow, Airbyte, Docker, SQL and Python
- Data Lake House Optimization and maintenance using BigQuery and Redshift
- Decrease data ingestion time utilizing multithreading techniques.
- Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
- Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
- Managed cloud-based infrastructure to ensure optimal performance, security, and cost-efficiency of the company''s data platform.
- Migrated legacy systems to modern big-data technologies, improving performance and scalability while minimizing business disruption.
- Designed and developed analytical data structures.
- Explained data results and discussed how best to use data to support project objectives.
Education
No Degree - Engineering Management
University of California, Riverside
Riverside, California, USA01.2016
Bachelor of Science - Electrical Engineering
Universidade Federal De Uberlândia - UFU
Uberlândia, Minas Gerais, Brazil09.2014
Skills
- Python
- SQL
- Google Cloud Platform (GCP)
- Amazon Web Services (AWS)
- Data Maintenance
- Data Architecture
- Google BigQuery
- Amazon Redshift
- Apache Airflow
- Extract, Transform, Load (ETL)
- Scrum
- Docker
- Data Analytics
- ETL development
- Data Quality Assurance
- Spark Framework
- Airbyte
- Performance Tuning
Websites
Languages
English
Bilingual or Proficient (C2)
Portuguese
Bilingual or Proficient (C2)
Spanish
Beginner (A1)
Timeline
Data Engineer
Just a Little Data / Unlock Knowledge
09.2022 - Current
No Degree - Engineering Management
University of California, Riverside
Bachelor of Science - Electrical Engineering
Universidade Federal De Uberlândia - UFU