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Marcelo Silva

@marcelosilva1

Analytics engineer specializing in scalable data pipelines, cloud deployments, and AI-ready data architectures.

Brazil
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What I'm looking for

I seek roles where I can build scalable, reliable data platforms and pipelines, collaborate with global teams, apply cloud-native tools, and drive data products that enable analytics and AI.

I am an analytics engineer with 5+ years of experience across the full data lifecycle, skilled in Python, SQL, Databricks, AWS, and Airflow. I design and maintain ETL pipelines, data models, and CI/CD practices to deliver reliable, scalable analytics solutions.

At Pismo/Visa I standardized code and CI/CD pipelines, scaling deployments from 3 to 12 AWS regions, and built AI-ready semantic layers by ingesting and vectorizing multi-source data into OpenSearch for Bedrock-driven agents.

Previously at Armac I moved from reporting to data engineering, automating ETL processes, improving maintenance detection and efficiency by 25%, and partnering with FP&A to inform cost and contract decisions—always focused on reliability, governance, and measurable business impact.

Experience

Work history, roles, and key accomplishments

PI
Current

Analytics Engineer

Pismo

Jan 2024 - Present (1 year 9 months)

Designed and maintained ETL pipelines, data models, and schemas using Airflow, Python, Databricks, and AWS, scaling deployments from 3 to 12 regions and improving data quality and reporting efficiency for AI-ready semantic layers.

Education

Degrees, certifications, and relevant coursework

Federal University of Bahia logoFB

Federal University of Bahia

Bachelor of Mechanical Engineering, Mechanical Engineering

2017 - 2021

Completed a Bachelor of Mechanical Engineering at the Federal University of Bahia, focusing on engineering fundamentals and applied problem solving from July 2017 to November 2021.

Tech stack

Software and tools used professionally

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Marcelo Silva - Analytics Engineer - Pismo | Himalayas