Marcelo Silva
@marcelosilva1
Analytics engineer specializing in scalable data pipelines, cloud deployments, and AI-ready data architectures.
What I'm looking for
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
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.
Senior Data Analyst
Armac
Sep 2021 - Dec 2023 (2 years 3 months)
Built scalable ETL pipelines with Airflow, Redshift and Aurora to automate reporting, eliminating manual CSV extraction and increasing maintenance efficiency by 25% while improving data reliability and governance.
Education
Degrees, certifications, and relevant coursework
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
Availability
Location
Authorized to work in
Job categories
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