Vinícius P.
Data Engineer

Skills

Node.js

Tableau

Pl/sql

Microsoft Sql Server

Python

Microsoft Azure

Docker Cloud

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Bio

Data Engineer with three years of experience specializing in the energy and financial sectors, complemented by one year of consultancy in Tableau. Expertise includes the utilization of Microsoft Azure cloud infrastructure for ETL/ELT processes, leveraging tools such as Python, Spark, SQL Server, Azure Synapse, Azure Data Factory, Databricks, and Pyspark. Proficient in constructing data lake architectures within the Azure Cloud environment and adept at developing and maintaining seamless data pipelines. Demonstrated capability in performance tuning for optimization, managing CI/CD processes using Git Actions, and a thorough understanding of both Agile Scrum and Waterfall methodologies. Skilled in data visualization tools, including Tableau and Power BI. Academic credentials include a Bachelor's degree in Information Systems.

Mid-Level Data Engineer
1/1/2022 - Present

Migrated SAP OLTP data to a data lake within the Microsoft Azure environment, developing proficiency in creating efficient pipelines for ETL/ELT processes using Azure Synapse. Successfully conducted collaborative discussions with various teams to understand and implement business rules. Demonstrated expertise in data cleaning and standardization before transitioning data into the Silver layer using PySpark and SQL, applying business rules to ensure data quality, consistency, and reliability. Implemented products leveraging a CI/CD pipeline with Git-Actions, and took responsibility for the maintenance and performance optimization of these pipelines, including fine-tuning the environment to enhance daily operational efficiency.
Business Intelligence Consultant
1/1/2021 - 12/1/2021

Developed proficiency in creating dashboards using Tableau, including both desktop and mobile versions. Performed data migration tasks from Excel and rebuilt visualization panels in Tableau to enhance data presentation. Executed data transformations using SQL, enabling more efficient data processing and manipulation. Generated high-value Key Performance Indicators (KPIs) to provide actionable insights for stakeholders, significantly aiding decision-making processes.
Data Engineer
7/2/2019 - 1/1/2021

Developed expertise in performing ETL processes using Python, NodeJS, and SQL with data sourced from PostgreSQL. Responsible for standardizing and cleaning data before sending it to the Data Warehouse, ensuring high-quality data management. Created and presented comprehensive dashboards to the board, effectively communicating critical insights. Specialized in developing add-ons for SAP Business One using C# .NET, enhancing enterprise resource planning functionalities. Additionally, executed routine verification scripts to maintain system integrity and performance.