About Gabriel
With 6+ years as a Data Engineer/Analytics Engineer, I've designed scalable pipelines using Python, Spark, and Databricks, migrating legacy SQL/SAS architectures into modern, cost-efficient systems that cut manual reporting from hours to minutes. Now I'm applying that same foundation to AI engineering: building multi-agent pipelines with Python, FastAPI, PostgreSQL, and OpenAI/Anthropic APIs that let teams query and analyze their data through natural conversation, no SQL required. I sit at the intersection of data and AI: strong enough in pipelines and architecture to build reliable systems, and hands-on with LLM-powered tools to make those systems intelligent and self-service. If you need someone to design a data pipeline, modernize a legacy system, or build an AI agent that turns your data into answers, I can bring both sides together.
English
Fluent
Portuguese
Native or bilingual
Spanish
Basic
Remote only
Primarily works remotely
Experience
- Keep it Simple (KIS)Data EngineerTECHJune 2023 - Today (3 years and 1 month)In KIS I'm allocated to a global beauty company, I work across data engineering and analytics initiatives supporting customer intelligence, KPI standardization, experimentation, and executivereporting.
- Designed and maintained scalable data pipelines using Python, Spark, and SQL Server. Enabling reliable analytics and downstream reporting consumption.
- Built end-to-end analytical workflows using Databricks, transforming raw transactional and customer data into curated datasets and Power BI dashboards.
- Supported experimentation and advanced analytics initiatives by preparing structured datasets for exploratory analysis, behavioral analysis, retention analysis, and campaign performance measurement.
- Integrated data from APIs, relational databases, cloud storage, and marketing platforms to support omnichannel customer analytics and activation workflows.
My most recent projects:Automating Clienteling List Generation: Automated a legacy CRM analytics pipeline by migrating SAS workflows to Databricks/PySpark, improving scalability and maintainability through reusable Python classes. Reduced campaign list generation time from 3 hours to 5–10 minutes, saving over 40 hours of monthly operational effort.End-to-End Analytics Architecture RedesignI: Migrated a legacy architecture from SQL Server procedures and Tableau to a scalable Databricks/PySpark and Power BI solution, improving performance, maintainability, and cost efficiency. Built a layered data pipeline architecture with centralized metric logic, reusable Python classes, and parallelized Databricks jobs .Autonomous Data Analytics Agentic Pipeline: Developing an agentic AI pipeline using multiagent architecture using Python, FastAPI, PostgreSQL, and OpenAI/Anthropic APIs to automate business analysis requests and reduce dependency on technical teams by enabling self-service analytics through a conversational interface - WarrenAnalytics EngineerPRIVATE EQUITYJanuary 2021 - May 2023 (2 years and 4 months)At Warren, I supported product, banking, and growth teams by building KPI dashboards, writing complex SQL for business-critical analyses, and implementing feature-tracking analytics. I worked closely with engineers and product managers to generate actionable insights from large datasets and streamline decision-making across the company.
- Developed scalable KPI data models and reporting pipelines supporting onboarding and banking operations analytics.
- Developed optimized SQL transformations and analytical datasets supporting product and business decision-making.
- Implemented event-tracking and analytical data structures used by engineering and product teams.
- Supported growth squads with insights derived from large user-level datasets
Tech Stack: MySQL, Python, Pandas, Looker, Metabase, Amplitude, Product Analytics - RBS GroupData AnalystENTERTAINMENT AND LEISUREFebruary 2021 - December 2021 (10 months)RBS is one of the largest companies in the field of multimedia communication in Brazil. My principal activities consisted in:
- Built and optimized complex SQL queries using MySQL and BigQuery to answer business questions related to content performance, audience engagement, and editorial strateg
- Refactored and migrated legacy analytical queries from Oracle SQL into modern data workflows, improving performance, readability, and maintainability.
- Developed one of the main KPI dashboards for the editorial team using Google Data Studio, enabling real-time monitoring of content engagement and columnist performance.
- Supported editorial decision-making by analyzing audience behavior and identifying which types of content generated higher engagement and retention.
- Applied statistical thinking and exploratory analysis to explain content consumption patterns and support hypothesis-driven decision-making in the newsroom.
- Collaborated closely with editorial and product stakeholders to translate business needs into measurable metrics and scalable analytical solutions.
Tech Stack: MySQL, BigQuery, Oracle SQL, Google Data Studio, Content Performance Analysis
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Education
- Business AdministrationFederal University of Rio Grande do Sul2024
Certifications
- Agentic AIDeepLearning.AI2026
- Supervised Machine Learning: Regression and ClassificationCoursera2022