Armando Rodrigues

Background

About Armando Rodrigues

With over 6 years of experience in technology, I specialize in building end-to-end solutions that sit at the intersection of Data Engineering and AI Engineering. I combine deep experience in Python, SQL, and cloud architectures (AWS) with hands-on work deploying LLM-powered systems, automating workflows, and scaling data infrastructure to support real business outcomes. At Alice, I played a central role in designing the company’s data platform and later led initiatives that brought AI into production, always bridging engineering execution with business needs. What I bring to the table: LLM & AI Engineering in Practice: Built an internal Slack bot powered by ChatGPT that answers business questions, summarizes dashboards, and connects to our data models — now used daily by multiple teams with over 200 real interactions per day. Robust Data Foundations for AI: Designed and implemented modular dbt models on Redshift that support not just BI and reporting, but also power AI agents with structured inputs for better accuracy and control. Cloud-Native Pipelines & Architecture: Developed scalable pipelines using AWS Lambda, S3, and Redshift — orchestrated with Airflow — to move data reliably and enable AI-powered services in production. APIs, Automations & Internal Tools: Delivered FastAPI microservices and custom automations via Google Apps Script to integrate with Metabase, Google Sheets, and Slack — reducing manual work and enabling real-time, AI-assisted decision-making. AI x Business Bridge: I act as a technical partner to Finance, Product, and Ops — translating business problems into scalable AI + data solutions, while considering cost, latency, governance, and impact. I started in FP & A, where I quickly became the go-to person for building internal tools and automation. This path naturally led me into data engineering and, later, to building practical AI systems grounded in real-world use cases — not just prototypes. Technical Stack: Python · SQL · OpenAI APIs · AWS (Lambda, S3, Redshift) · dbt · Airflow · FastAPI · ChatGPT Assistants API · RAG · Vector Stores · Prompt Engineering · Slack API · Google Apps Script · Data Modeling · Automation Education: Naval Engineering (BSc) – UFPA Finance Specialization – Insper Key Strengths: Architecting scalable solutions · Business-oriented data engineering · Cloud infrastructure · AI integrations · Stakeholder communication · Automation · Operational efficiency