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Sarah Cecim

Hi, I'm Sarah Cecim - Analytics Engineer at Amazon

I am fueled by a lifelong passion for technology, transforming complex data into meaningful innovation. I thrive in multidisciplinary environments where I can build scalable AI solutions and solve real problems.

Amazon
São Paulo, State of São Paulo, Brazil
AI insights

At a glance

Curated signals on strengths, focus areas, and how they can help.

Leveraged expertise within the Google Search and Startups teams to build scalable technological foundations.

Currently specializes in developing high-performance analytics pipelines and AI solutions as an engineer at Amazon.

Provides expert guidance on data infrastructure, AI orchestration, and translating complex metrics into actionable business strategy.

🚀 Career trajectory

Foundation Phase

Built technical grounding through rigorous IT education and independent software development projects.

Software Development

Technical Education

Tech Giant Acceleration

Scaled impact within Google's startup and search divisions, learning to operate at global scale.

Cloud Engineering

Search Ecosystems

Strategic Integration

Currently driving analytics engineering at Amazon, focusing on advanced data orchestration and AI implementation.

Analytics Engineering

Enterprise AI

💪🏻 Superpowers

Architecting Scalable AI Systems

Building robust data infrastructure for complex ecosystems

Design high-performance ETL/ELT pipelines using AWS Glue and Airflow.

Deploy production-ready models using Vertex AI and Amazon Bedrock.

Strategic Data Storytelling

Converting raw insights into executive-level strategy

Build dynamic dashboards in Looker Studio and Power BI.

Translate complex metrics into strategic business KPIs for stakeholders.

Innovation-Driven Problem Solving

Applying emerging tech to traditional business challenges

Integrate generative AI and computer vision into legacy environments.

Orchestrate multi-agent systems to automate end-to-end business workflows.

I'm excited about

Exploring advanced technical communities to discuss multi-agent protocols and GenAI.

Finding new opportunities to build solutions that bridge the gap between research and production.

Connecting with leaders in AI who share my passion for social and technological impact.

I can help with

Mentoring early-career professionals on transitioning into data and AI roles.

Advising on effective ETL pipeline strategies for startup-level data infrastructure.

Sharing technical insights on integrating Gemini API and cloud automation.

I would love your help on

Seeking perspectives on scaling AI product teams within high-growth organizations.

Looking for insights on evolving career paths in enterprise AI engineering.

Need advice on balancing technical innovation with practical business value delivery.