Felipe Longarai Trisotto, Developer in Florianópolis - State of Santa Catarina, Brazil
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Felipe Longarai Trisotto

Verified Expert  in Engineering

Data Analyst and Developer

Florianópolis - State of Santa Catarina, Brazil

Toptal member since October 4, 2022

Bio

Felipe is a driven and meticulous data analyst and engineer with a proven track record of over seven years in the industry. Possessing a deep expertise in multiple database technologies, Felipe has been instrumental in delivering high-impact projects for multinational companies. His solutions not only elevated operational efficiency, but also transformed data into valuable business assets, generating significant revenue growth for his clients.

Portfolio

Ria Money Transfer
SQL, SQL Server 2016, C#, Git, Azure, .NET
Code7
MySQL, Microsoft SQL Server, Microsoft Servers, SQL, Jira, Databases...
DataHub Analytics
Oracle SQL, Microsoft Excel, SQL, Business Intelligence (BI), Data Analytics...

Experience

  • SQL - 6 years
  • Data Analysis - 6 years
  • Microsoft Power BI - 5 years
  • ETL - 5 years
  • Data Visualization - 5 years
  • Python - 5 years
  • Data Engineering - 3 years
  • Web Scraping - 3 years

Availability

Part-time

Preferred Environment

SQL, Python, ETL, Data Visualization

The most amazing...

...solution I’ve developed is a 24/7 voice bot that generated more revenue in the first few hours than expected and still runs today.

Work Experience

Senior System Analyst

2023 - PRESENT
Ria Money Transfer
  • Developed and implemented a robust SQL Server and Azure database solution, optimizing store procedures and schemas for efficient data management.
  • Spearheaded a vital project converting a legacy system to Unicode, enhancing global user accessibility and experience.
  • Utilized Git for version control, ensuring smooth integration between database solutions and C# applications.
Technologies: SQL, SQL Server 2016, C#, Git, Azure, .NET

Database Analyst

2019 - 2022
Code7
  • Built and deployed over 1,500 high-performing bots, streamlining operations and improving productivity.
  • Developed cutting-edge tools that revolutionized task handling. This resulted in a significant reduction in task time from hours to minutes, boosting my team's productivity.
  • Provided exceptional customer support, ensuring that every customer fully mastered the tool and alleviating any difficulties they encountered along the way.
  • Developed custom data visualizations using Python libraries such as Matplotlib and Seaborn, which enabled the team to uncover valuable insights and trends that would have been difficult to identify using traditional reporting methods.
  • Implemented data visualization best practices to ensure consistency and accuracy across all monthly reports and real-time dashboards, resulting in increased trust in the data and improved stakeholder decision-making.
Technologies: MySQL, Microsoft SQL Server, Microsoft Servers, SQL, Jira, Databases, Project Management, PL/SQL, Data Modeling, Data Engineering, Database Architecture, Data Architecture, Database Modeling, Scrum, Data Visualization, Windows PowerShell, XML, T-SQL (Transact-SQL), AnyDesk, Amazon RDS, Query Optimization, Big Data, Data Analysis, Amazon Web Services (AWS), Query Composition, Performance Tuning, Database Administration (DBA), SQL Server Integration Services (SSIS), Data, SQL Server Analysis Services (SSAS), Database Performance, SQL Server DBA, Microsoft DBA, Windows Server, Query Plan, Data Pipelines, DB, Relational Databases, SQL Server 2008, Data Migration, ETL Tools, Azure SQL, Architecture, SQL Server 2016, Database Design, Database Clusters, Database Backups, System Administration

SQL Developer

2017 - 2019
DataHub Analytics
  • Performed daily maintenance and improvement of vast amounts of data, performing a thorough cleaning, standardization, and enrichment of thousands of records for multinational clients with exceptional efficiency and accuracy.
  • Designed and implemented sophisticated socio-economic analysis, delivering tangible results for several companies in their marketing and anti-fraud initiatives. His work had a significant impact on these organizations' success.
  • Optimized complex recurring queries, drastically reducing computing time from days to mere hours while processing millions of records. This resulted in increased efficiency and improved productivity.
  • Created visually engaging and interactive dashboards using Power BI, allowing business teams to easily analyze and interpret complex data sets, leading to more informed decision-making.
  • Leveraged data visualization tools such as Tableau and Power BI to create dynamic and interactive visualizations that enabled stakeholders to explore data at a granular level and gain a deeper understanding of complex business processes and trends.
Technologies: Oracle SQL, Microsoft Excel, SQL, Business Intelligence (BI), Data Analytics, Databases, Microsoft Power BI, ETL, Python, PL/SQL, Data Modeling, Azure, Data Engineering, Google Cloud Platform (GCP), Database Architecture, Data Architecture, Oracle, Database Modeling, Git, Data Visualization, Windows PowerShell, T-SQL (Transact-SQL), Amazon RDS, Query Optimization, Big Data, Data Analysis, Query Composition, Performance Tuning, BI Reports, Dashboards, DAX, Database Administration (DBA), Data, Amazon Web Services (AWS), Database Performance, Query Plan, Oracle Database, Data Pipelines, DB, Relational Databases, Oracle DBA, Data Migration, ETL Tools, Scripting Languages, Azure SQL, Business Analysis, Architecture, Database Design, Database Clusters, Database Backups, Excel 365

Experience

Petys

https://trisotto.github.io/Petys/
A comprehensive business analysis of Petys, a fictional NYC store, utilizing Power BI, DAX, Excel, and Figma to develop and publish an interactive dashboard showcasing key business metrics in an easily accessible and visually appealing manner.

Credit Fraud Analysis for Fintech

Manipulation and enrichment of customer data to validate credit scores and prevent fraud.

I delivered a comprehensive study, complete with statistics, interactive dashboards, and real-life examples, that provided valuable insights into potential customer groups and the manipulated and enriched data.

Data Pirate Cep

https://github.com/Trisotto/data_pirate_cep
I utilized Python and Scrapy to create a highly efficient web crawler that extracted all ZIP code ranges and locations from Correios' website. The collected data was stored in a JSON file for easy access.
The project was made even more convenient with the use of Docker, which enabled the creation of a Docker image for quick and seamless execution.

InvestHub

An academic study on machine learning models and their applications in the investment sector, focusing on predicting fundamental microeconomic indicators.
I utilized the Jupyter Notebook, Python, Beautiful Soup, Pandas, sci-kit-learn, matplotlib, and Plotly. I captured and processed data, applied deep learning, linear regression, and time series models, and presented the results in visually appealing and interactive graphics.

TaxesDB

https://github.com/Trisotto/TaxesDB
A database to manage information on the collection of various types of taxes (stamp duty, real estate, automotive patent, gross income) by a state agency.

DBAChallenge

https://github.com/Trisotto/DBAChallenge
The challenge consists of creating, managing, and maintaining a database named DBAChallenge with specific tasks ranging from table creation to data manipulation, backups, and performance optimizations.

Education

2015 - 2020

Bachelor's Degree in Computer Science

Federal University of Santa Catarina - Florianópolis, Santa Catarina, Brazil

Certifications

AUGUST 2022 - PRESENT

Architecting with Google Compute Engine

Google Cloud

DECEMBER 2020 - PRESENT

Fundamentals of Data Visualization in Tableau

365 Careers

DECEMBER 2020 - PRESENT

The Data Science Course 2022: Complete Data Science Bootcamp

365 Careers

Skills

Libraries/APIs

Pandas

Tools

Microsoft Excel, Microsoft Power BI, Git, Query Plan, Jira, Tableau, Excel 2016, Figma

Languages

SQL, T-SQL (Transact-SQL), Python, Java, C++, XML, Snowflake, C#

Paradigms

Object-oriented Programming (OOP), ETL, Database Design, Business Intelligence (BI), Scrum, Dimensional Modeling, OLAP

Platforms

Oracle, Linux, Windows Server, Oracle Database, Google Cloud Platform (GCP), Azure, Docker, Amazon Web Services (AWS)

Storage

Oracle SQL, MySQL, Databases, Microsoft SQL Server, PL/SQL, Database Modeling, Database Architecture, PostgreSQL, Database Administration (DBA), Database Performance, SQL Server DBA, Microsoft DBA, Data Pipelines, DB, Relational Databases, Oracle DBA, SQL Server 2008, Azure SQL, SQL Server 2016, Database Backups, SQL Server Integration Services (SSIS), Data Lakes, SQL Server Analysis Services (SSAS)

Frameworks

Windows PowerShell, .NET

Industry Expertise

Project Management

Other

Data Structures, Data Analytics, Data Management, Data Modeling, Data Architecture, Data Engineering, Data Visualization, Query Optimization, Data Analysis, Query Composition, Performance Tuning, Data, Scripting Languages, Architecture, System Administration, Excel 365, Web Scraping, Data Science, Amazon RDS, Big Data, Dashboards, DAX, Data Migration, ETL Tools, Business Analysis, Data Warehousing, Database Clusters, Web Crawlers, Scraping, Microsoft Servers, Machine Learning, AnyDesk, BI Reports

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