Hi, I'm Patrick Araujo

About Me

Software Engineer specializing in Backend Development, Process Automation, and Data Infrastructure. I architect scalable integrations using Python, JavaScript, and REST APIs, with a strong focus on production-ready code and system reliability (QA/SDET).

As a Computer Engineering student, I bridge the gap between complex business logic and high-performance automated workflows. With expertise in AWS Cloud, data pipelines, and a portfolio of over 40 professional certifications (including 14+ Google credentials), I am dedicated to engineering robust solutions that drive operational excellence at scale.

Professional Experience

Software Engineer (Backend & Automation) — Loja do Sapo
September 2025 – Present

• Cloud & Backend Architecture: Lead architect for end-to-end automation and system integrations using Python and JavaScript, ensuring high availability and 100% functional integrity.
• API Engineering: Developing and maintaining high-scale REST API integrations (Google Cloud, Zoho, 3rd party services) for business-critical workflows.
• Infrastructure Ownership: Technical owner for backend applications and server stability, monitoring performance and optimizing system execution.
• Data Engineering: Architecting advanced data pipelines and KPI dashboards (Looker Studio) to drive executive-level decision-making.

Software Developer (Data & Workflows) October 2024 – August 2025

• Process Engineering: Implemented complex business rules and automated workflows using Python and Deluge to eliminate operational bottlenecks.
• Business Intelligence: Built data architectures for real-time reporting, ensuring accuracy of operational metrics and data consistency.

Software Engineer (Systems Integration) — iCaiu
March 2025 – Present

• System Interoperability: Engineered backend communication layers and API-based integrations to optimize data processing across platforms.
• Quality Engineering (QA/SDET): Performing rigorous functional testing and API debugging to resolve complex bottlenecks in automation features.
• Cloud Foundations: Leveraging AWS fundamentals to support and scale backend infrastructures for operational technology.

Operations & Tech Support Specialist — WR Auto Peças
November 2015 – February 2026

• Process Automation: Developed custom Python tools to automate administrative tasks and data management, significantly reducing manual effort.
• Systems Administration: Managed fiscal and operational systems, ensuring technical compliance and data integrity over a 10-year tenure.
• Web Development: Maintained the company’s institutional web presence and internal digital tools using HTML/CSS.

Core Skills

 Programming & Scripting

• Languages: Python, JavaScript, SQL, Deluge
• Technical Base: C#, Java, C++, OOP, Data Structures

 Automation & QA

• Integrations: REST APIs, API Design, Webhooks, Third-Party Services
• Quality: Functional Testing, SDET, Process Automation (n8n, Zoho)

 Infrastructure & Cloud

• Cloud: AWS (EC2, S3, Lambda), Cloud Engineering, Serverless
• Systems: Linux Administration, Shell Scripting, Docker, Webhooks

 AI & Specialized Engineering

• AI: Generative AI, Prompt Engineering, Intelligent Automation
• Low-Level: Data Structures, Computer Architecture, C/C++ (Academic)

 Data & Analytics

• BI: Looker Studio, Power BI, KPI Dashboards
• Engineering: Data Pipelines, ETL, PostgreSQL, SQL Optimization

Professional Certifications (40+ Credentials)

 Artificial Intelligence & Generative AI (Featured Google Portfolio)

• Google AI Essentials: Strategic AI Implementation, Data Synthesis, and Responsible AI.
• Google Prompting Essentials: Advanced Prompt Engineering, Operational Efficiency, and AI-Driven Data Analysis.
• Specialized AI Partner: Using AI as a Creative/Expert Partner & Designing Prompts for Work Tasks.
• AI Foundations: Introduction to AI (Machine Learning, Deep Learning, and Ethics).
• Data & Presentation: Speed Up Data Analysis and Presentation Building with AI.

 Cloud, Infrastructure & Security

• AWS: AWS Cloud Quest: Cloud Practitioner (Infrastructure, VPC, IAM, and Cloud Economics).
• Google Cloud & Systems: Tools of the Trade (Linux and SQL) & Foundations: Data, Data, Everywhere.
• Observability: Datadog Foundation (System Admin, API Development, and ETL).
• Cybersecurity: Assets, Threats, and Vulnerabilities; Networks and Network Security; Managing Security Risks.

 Software Engineering & Automation

• Python Expert: Python with RPA and Real Project Creation (221h), Python for Backend (Santander).
• Object-Oriented Programming: Complete C# OOP + Projects (38h), Algorithms and Programming Logic (Java, C, C++, C#).
• Development Tools: GitHub Workshop, Linux Fundamentals, and System Administration.
• Automation: Process Automation (n8n, Zoho), Webhooks, and API Design.

 Data Analytics & Management

• BI & Dashboards: Excel Advanced, Macro and VBA + Power BI (268h), Computer Skills + Power BI (217h).
• Project Management: Foundations of Project Management (Google).
• Business Strategy: Financial Management, Leadership, People Management, Recruitment and Selection (SEBRAE).

 Languages & Communication

• English: Business English Parts 1, 2 & 3 (Santander), English Fundamentals (University of Pennsylvania), English (Kultivi).
• Methodology: Accelerated Learning (Kultivi).

Education

Bachelor’s Degree in Computer Engineering
Centro Universitário Newton Paiva
2024 – 2028

 Professional Stack & Automation

 Academic & Certifications

GitHub Stats