Paulo B.
Back-end and Systems Engineer

Skills

Flask

Tableau

Databricks

Javascript

Python

Postgresql

Amazon Aws

Paulo is available for hire

Hire Paulo B.

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Bio

Data Analyst with over three years of experience, transitioning to a career in development. This professional background includes significant involvement in various startup projects, leading to a strong proficiency in web scraping, object-oriented programming (OOP), Python, SQL, and R. Expertise extends to major Python web development frameworks, including Django, Flask, and FastAPI. Additional skills encompass JavaScript, HTML, CSS, and version control using GIT. Dedication to continuous learning and a passion for programming concepts are evident, with a focus on producing clean, readable, and scalable code.

Product Data Analytics
7/1/2021 - Present

Excelled in the creation of dashboards and reports predominantly using Tableau, Metabase, and Databricks notebooks. Played a crucial role in project management by automating daily tasks through the development of Python scripts, significantly enhancing efficiency and productivity in routine operations.
Data Analyst
8/1/2020 - 6/1/2021

Gained expertise in creating and maintaining ETL pipelines using AWS Glue and adeptly integrated with third-party and partner APIs. Developed database maintenance services, including tasks such as collation correction of databases and maintenance of city registries. Demonstrated proficiency in data modeling, creating dashboards in AWS QuickSight, performing cluster analysis, and drafting comprehensive reports.
Marketing Data Analyst
9/1/2019 - 8/1/2020

Developed proficiency in ETL processes utilizing platforms such as Zendesk, RD Station, and Google Analytics. Conducted extensive web scraping of social networks to extract customer company profiles and CNPJ data from the Federal Revenue Service. Utilized this data to determine the Ideal Customer Profile (ICP) for Growth Machine. Executed technical SEO optimization for websites and automated daily routines for the marketing team.
Data Analysis Internship
1/1/2019 - 9/1/2019

Developed performance reports aimed at creating action plans for educational institutions. Spearheaded the development of an application using R, leveraging the Shiny library, to facilitate test scoring based on the TRI model. Contributed significantly to the creation of an OCR script designed to read and extract responses from images of answer sheets.