Experience — Marielle Côrtes

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developers impacted by AI productivity frameworks

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productivity improvement identified among AI tool adopters

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engineering tools integrated into intelligence systems

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production-grade metrics in scalable feature store

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Selected impact

Built engineering intelligence datasets integrating telemetry from AI agents, development platforms, and SDLC systems for large-scale productivity analysis.
Designed analytics frameworks identifying ~50% productivity improvements among 30K+ collaborators using AI Coding Tools.
Built engineering intelligence systems aggregating activity logs across 18+ engineering tools to identify productivity patterns and developer behavioral clusters.
Architected scalable feature store platforms supporting ML experimentation and 1.7K+ production-grade metrics.
Led AI analytics initiatives supporting executive and Senior VP decision-making on AI investments and engineering productivity.

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Work history

Aug 2025 — Present current

Tech Lead · Data & AI Engineering

Mercado Libre — Largest e-commerce and fintech ecosystem in Latin America

Leading enterprise AI analytics and engineering intelligence initiatives focused on AI adoption measurement and productivity evaluation across the SDLC.

Lead GenAI productivity and AI analytics initiatives across the engineering organization.
Own cross-functional AI telemetry and analytics strategy involving multiple AI coding providers and internal engineering platforms.
Drive architecture decisions for scalable analytical systems supporting engineering intelligence and AI investment assessment.
Partner with engineering leadership and executive stakeholders to define AI adoption measurement frameworks and productivity KPIs.
Coordinate analytical initiatives spanning telemetry ingestion, data modeling, experimentation, and executive reporting.

Jul 2022 — Aug 2025

Sr. Data & Analytics Engineer

Mercado Libre

Designed enterprise-scale data products supporting Observability, Governance, and Data Mesh initiatives.

Led Data Mesh adoption and stronger data ownership practices across distributed teams.
Built AI experimentation and analytics frameworks to measure the impact of Generative AI solutions.
Designed ML systems, scalable feature store architectures, and analytical platforms supporting internal products.
Developed data governance models and analytical initiatives improving operational visibility and executive decision-making.

Apr 2021 — Jul 2022

Data Engineer

NTT Data — Client: Itaú Unibanco, Latin America's largest private bank

Designed and implemented cloud-native data solutions supporting regulatory and business requirements.

Translated complex Brazilian Central Bank requirements into production-grade systems.
Built cloud-native ETL pipelines and Infrastructure-as-Code solutions using AWS services including Lambda and Glue.
Designed a dynamic rule-based architecture capable of adapting to frequent business rule changes without modifying core logic.

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Education

PG

Data Science, BI, Big Data & Analytics

Uniderp University, Brazil

BSc

Civil Engineering

ESAMC University, Brazil

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Experience.