Andre Vidal
@andrevidal
Staff Data Engineer building AI-enabled enterprise data platforms with Snowflake and GenAI.
BrazilWhat I'm looking for
I’m a Staff Data Engineer with 11+ years designing enterprise-scale data platforms and AI-enabled analytics solutions across Fortune 500 consulting engagements. I focus on production-grade data architecture that turns complex data into reliable, business-ready answers—often powered by GenAI.
At Boston Consulting Group, I architected and launched an enterprise AI platform integrating Snowflake Cortex Analyst, MCP, and RAG so business users can query enterprise knowledge and structured data in natural language. I also built a production AI agent in Python with RAG, prompt engineering, and text-to-SQL via MCP and Snowflake Cortex Analyst, while optimizing a Snowflake platform to cut costs by 40% (about $190k/year).
Previously at Globant, I designed and delivered end-to-end data pipelines on Databricks and led migrations of on-premises petabyte-scale clusters to Google Cloud Platform. I improved delivery speed by developing custom automation tooling that accelerated workflow migration velocity by 20%.
Earlier roles strengthened my foundation in large-scale engineering and governance: I delivered a 15M-subscriber big data platform and implemented lakehouse architecture at Accenture, and I supported revenue assurance and analytics at Deloitte within a 30M-subscriber environment. I consistently champion data quality, governance, and platform best practices—helping teams adopt GenAI safely and effectively.
Experience
Work history, roles, and key accomplishments
Architected and launched an enterprise AI platform integrating Snowflake Cortex Analyst, MCP, and RAG to enable natural-language querying of enterprise knowledge and structured data. Built a production Python AI agent (RAG, prompt engineering, text-to-SQL via MCP and Snowflake Cortex Analyst) and optimized the Snowflake platform to cut costs by 40% ($190k/year savings).
Designed and delivered end-to-end data pipelines on Databricks, owning planning, development, and testing for a Canadian client. Led migration of on-premises petabyte-scale clusters to Google Cloud Platform and improved workflow migration velocity by 20% using custom automation tooling.
Designed, implemented, and managed a 15M-subscriber big data platform to enable data-driven decisions for a telecommunications company. Led implementation of a lakehouse architecture for a Tier 1 telecom operator in Brazil.
Developed internal controls over telecommunications revenue to prevent revenue leakage across a 30M-subscriber big data environment, safeguarding $5B in revenue. Promoted from Business Analyst to Consultant 2 during the engagement, reflecting increasing scope and performance.
Education
Degrees, certifications, and relevant coursework
Universidade de São Paulo (USP)
Master of Business Administration, Data Science & Analytics
2021 - 2023
Completed an MBA in Data Science & Analytics at Universidade de São Paulo (USP) from 2021 to 2023.
Universidade Veiga de Almeida (UVA)
Bachelor of Science, Computer Engineering
2013 - 2018
Earned a B.Sc. in Computer Engineering at Universidade Veiga de Almeida (UVA) from 2013 to 2018.
Tech stack
Software and tools used professionally
Availability
Location
BrazilAuthorized to work in
Job categories
Skills
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