Felipe Jacheto, Developer in São Paulo - State of São Paulo, Brazil
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Felipe Jacheto

Verified Expert  in Engineering

Data Engineer and Infrastructure Developer

São Paulo - State of São Paulo, Brazil
Toptal Member Since
March 30, 2022

Felipe is a skilled Data Engineer with years of experience as a Data Engineer Consultant and Freelancer. Starting as a junior developer, he quickly advanced to one of the leaders in a 20-member team, helping to scale data-related projects in multiple clients. Felipe's strongest skills include implementing and operating Azure Data Stack, Power BI development and Power BI organizational management, Data Pipeline development, and Process Automation.


Pemex - Main
Data Analytics, SAP, Data Engineering, Microsoft Power BI, Microsoft SQL Server...
Data Governance, Data Management, SQL DML, Communication, Dashboards
Azure, Leadership, People Management, IT Project Management, ETL...




Preferred Environment

Azure, Windows, Python, Office 365, Microsoft Power BI

The most amazing...

...project I've developed was a robot orchestration infrastructure in six months.

Work Experience

Senior Data Engineer

2022 - PRESENT
Pemex - Main
  • Developed or contributed to initiatives to organize Power BI in the organization, such as a centralized app, standard documentation, standard templates and good practices which spread across all developers, and automatic PBI refresh monitoring.
  • Developed several Power BI for the finance department, including Spending which provides a one-stop-shop and 100% automated tool that consolidates all expenses of the organization.
  • Contributed to essential Data Engineering efforts to organize the company's data into a single Data Warehouse, creating multiple data pipelines and tuning SQL Server performance.
  • Developed multiple Power BI for the Supply Chain department, such as Material Status Report which consolidates all expected deliveries in a single place, and Parked/Blocked which creates a unified panel for all POs that needs attention.
Technologies: Data Analytics, SAP, Data Engineering, Microsoft Power BI, Microsoft SQL Server, ETL

Data Governance Learning Organization Leader

2021 - 2022
  • Created reference materials for data governance across all companies, containing good practices across people, processes and technology pillars.
  • Published an internal article called "What it REALLY means to be Data-driven?".
  • Created documentation for a framework to evaluate the data management maturity of clients. With that, it is possible to measure how well a company is doing in each pillar and propose improvements to specific categories.
  • Helped to sell more than five data-related projects to different clients in several industries by building proposal materials and presenting them in meetings.
Technologies: Data Governance, Data Management, SQL DML, Communication, Dashboards

Data Engineer

2020 - 2022
  • Developed over 50 data pipelines in Azure Data Factory and Databricks (using PySpark and Pandas), with dozens of system integrations and hundreds of tables created in the data warehouse.
  • Resolved more than 400 support tickets in 2020 while overseeing technical support.
  • Created an Azure infrastructure from scratch for a 5,000+ employee company in the mining sector. Began with no infrastructure, and now there are more than 300 official tables and robust data governance with high-data quality.
  • Led infrastructure improvement efforts such as creating CI/CD mechanisms, implementing quality checklists for developers, creating a data quality dashboard, a data catalog, a pipeline monitoring dashboard, a unified RPA, and data infrastructure.
  • Implemented solutions for people management, such as a central backlog for registering and following all initiatives, prioritization score calculation, and a welcome kit to automate onboarding.
  • Coordinated the data DG pillar of the data learning organization. Activities included: studying data governance and getting certifications, creating knowledge materials, selling new data projects, and presenting classes about DG.
  • Developed several high-quality Power BI dashboards for multiple departments, including Finance, HR, Operations, Supply Chain, and IT.
  • Helped to organize Power BI server, enabling it to handle multiple developers from several departments, by defining best practices, creating standard documentation, training, and coaching other developers.
  • Developed and maintained multiple robots in UiPath to automate processes across multiple departments.
  • Created quality standards and common templates to be used by other developers in UiPath, to reduce complexity, standardize documentation and enable all robots to be monitored in a single tool in Power BI.
Technologies: Azure, Leadership, People Management, IT Project Management, ETL, Data Architecture, Microsoft Flow, PySpark, REST APIs, Robotic Process Automation (RPA), Data Visualization, Data Governance, SQL, Azure DevOps, Git, Azure Data Factory, UiPath, Data Lakes, Data Warehousing, Databricks, Microsoft Power BI, Excel 365, Python, DevOps, Data Pipelines, Pandas, Spark, Data Warehouse Design, Microsoft SQL Server, Data Engineering, SQL Server Analysis Services (SSAS), Azure Analysis Services, Tableau, Business Intelligence (BI), Azure Data Lake, T-SQL (Transact-SQL), APIs, Data Analysis, Data Analytics, Microsoft Excel, DAX, Communication, Dashboards, Azure Databricks, Information Visualization

RPA Developer

2018 - 2019
  • Automated several processes in the supply chain department of a bank. This involves mapping processes, designing the automation roadmap and changes required, and developing software robots (RPA) to automate repetitive tasks and implementing those.
  • Accomplished saving over four FTEs with software robots.
  • Developed several dashboards in Power BI to report a retail company's centralized services department performance.
Technologies: SQL, JavaScript, Robotic Process Automation (RPA), Data Visualization, Excel VBA, C#, Process Mapping, IT Project Management, Microsoft Power BI, Git, Excel 2013, Business Intelligence (BI), Data Analysis, Microsoft Excel, Communication

Full-stack Developer

2017 - 2018
  • Assisted in developing a workflow management software based on C# for creating, following, and monitoring common tasks between business teams.
  • Designed and developed a system in C# to orchestrate software robots in several computers. The components were a controller (the "brain" of the system), a database, an executor (to trigger the bots), robots, and a user interface.
  • Developed over ten different software robots using C# and VBA.
Technologies: C#, Excel VBA, Git, Excel 2013, Microsoft Excel

Power BI Monitor Dashboard

Scaling Power BI usage throughout the organization is not a straightforward task. The natural tendency is for dozens of individual developers, with or without data knowledge, to build Power BI on their own, with no documentation or quality standards. In an effort to organize the Power BI's in the organization, I created a dashboard that monitors other published reports.

The dashboard has several key components, including Last refreshes, which shows the last N refreshes of every published Power BI, making it extremely useful for spotting errors. Data Sources, which shows all data sources automatically from API. Excel Documentation, which is a single documentation Excel that every developer needs to fill when publishing new reports. This simplifies life because people usually do not take time for documentation, so reducing that to a 3-minute process increases overall adoption. Additionally, Usage Metrics are included, which function similarly to Power BI's default usage metrics, showing how many views and viewers each page from each report had over the last weeks.

Spending Power BI

I created a one-stop-shop Power BI for the Finance department using SAP data, which required solving several layers of complexity. I had to ensure data quality and consistency across different departments and cost categories for accurate reporting, which demanded constant communication and alignment with the business. Additionally, I optimized the data model to improve Power BI performance, requiring a high level of understanding of how Power BI calculations work. The dashboard needed to be visually appealing, easy to navigate, and allow users to quickly access relevant information, requiring deep design knowledge to facilitate user instant comprehension of the visuals and how they relate to each other. As users utilized the dashboard, there was a constant flow of improvement suggestions coming from multiple people, and being able to manage what to implement in a way that works for everyone was crucial to adapt to evolving business needs.

Azure Data Infrastructure Implementation

Our company implemented a Business Intelligence infrastructure from scratch, using mainly Azure resources and tools. The project started in 2018. I joined at the end of 2019.

In 2019, I acted as a data engineer, creating data pipelines for the financial department. In 2020 I became the technical support of the team. I made sure everything in production worked without errors and generated value that satisfied clients. At the time, the project had two pillars: Data and RPA infrastructure. In 2021, I switched to the front line, working as a data engineer (creating data pipelines and integrations with the company's systems), and a DevOps engineer (constantly evolving the architecture with improvements in the infrastructure and governance).

Data Governance Coordinator

At Visagio, there are several groups of people who gather together in Learning Organizations (LO) to leverage the knowledge and actuation of certain topics or industries. For example, there is the Supply Chain LO, Digital Transformation LO, Financial LO, RPA LO, Analytics LO, etc.

I participate in the Data and BI LO, leveraging data governance (and all other data management siloes). I spend a good portion of time studying data governance, reading books and online articles, and creating knowledge materials (PowerPoint presentations describing what it is and its importance, then entering into the details of each silo). I secured the DAMA certification as a data management certified professional. I created materials to spread the knowledge of data governance across the company, presented classes and meetups about the topic, and delivered a presentation outlining proposals on selling new projects with data governance-related capabilities

Supply Chain RPA Automation

I spent a year in an open scope project automating repetitive work, improving the business performance with technology. I completed various tasks, with my primary role being the creation of robots and automating processes.

Autonomous Service Robot

This was my final project at University. It is a 1.5 meter (five feet) service robot that can map the environment and walk in a room, avoiding walls, obstacles, and humans. I developed it with three others. I created the software, the coding, and intelligence portions of the robot. We used ROS Kinetic running in Ubuntu for the robot's brain.

Software Robot Orchestration System

Our initial purpose was to create about 30 software bots to automate several stages of various processes. We didn't have robust RPA tools such as UiPath, and the client did not intend to buy any sophisticated tools either. However, we realized that maintenance wouldn't be viable if there weren't a system to manage the activity workflow, robot parameters, monitoring executions, and schedules. We created our own "robot and analyst workflow management system" to solve that.

The system was developed in C# to orchestrate software bots on several computers. It consisted of a controller, a database, an executor, software robots, and a UI.

Python Platform Game with Custom Physics Engine

This project was made for a two-semester Python course at university. It was my first time using Python, but I got so involved that I created something beyond expectations. The game uses the Pygame library as the render engine and a physics engine made from scratch to simulate gravity and different object interations (this was the most challenging part by far, but well worth learning).

2 DOF Platform

This was a control project I did at my university. It is a system with a resistive plate and two servos to control the X and Y inclination of the plane. The goal is to maintain the ball in a chosen position on the plane.
2014 - 2019

Bachelor's Degree in Control and Automation Engineering

Instituto Mauá de Tecnologia - São Caetano do Sul, São Paulo, Brazil

2017 - 2017

Exchange Program in Electrical Engineering

Waterford Institute of Technology - Waterford, Ireland

JUNE 2021 - JUNE 2023




UiPath Advanced Training



PySpark, Pandas, REST APIs, Pygame


Microsoft Power BI, Excel 2013, Microsoft PowerPoint, Microsoft Excel, Git, Microsoft Flow, MATLAB, Tableau


Python, SQL, Excel VBA, SQL DML, T-SQL (Transact-SQL), C, JavaScript, C#


Windows, Azure, Databricks, Linux, Ubuntu, SharePoint


ETL, Business Intelligence (BI), Azure DevOps, DevOps


Data Pipelines, Data Lakes, Microsoft SQL Server, SQL Server Analysis Services (SSAS)




Office 365, Robotic Process Automation (RPA), Data Visualization, Data Governance, Azure Data Factory, Excel 365, Presentations, Data Engineering, DAX, Dashboards, SAP, Control Theory, Classical Control Theory, Robot Operating System (ROS), Data Architecture, UiPath, Data Warehousing, Data Warehouse Design, Data Management, Azure Data Lake, APIs, Data Analysis, Data Analytics, Communication, Azure Databricks, Information Visualization, Artificial Intelligence (AI), Robotics, Process Mapping, IT Project Management, Leadership, People Management, Catalog Data Entry Services, Semiconductors, Renewable Energy, English, Azure Analysis Services

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