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Summary

Enterprise data and platform professional with 9+ years across technical delivery, analytics, operations, and stakeholder-facing programs. Hands-on with Dataiku DSS, Snowflake, Python, SQL, REST APIs, and AWS. Designs production integrations, access models, release paths, monitoring, and support processes; works across engineering, product, business teams, service teams, and external vendors to turn operating needs into technical architecture and resolve production issues.

Work experience

Sr. Technical Business Analyst - IT

2023-07present
PROLOGIS

Lead technical delivery across energy, sustainability, mobility, data-platform, and integration programs.

  • Turn fragmented Energy and Sustainability requests into a coordinated product roadmap spanning Snowflake, Dataiku, Resource Advisor, GRESB, Prologis Connect Energy, and utility-data integrations.
  • Bring together business teams, data engineers, solution architects, cloud teams, support organizations, and external vendors from discovery and requirements through architecture, testing, production release, and support; explain technical tradeoffs, risks, and assumptions in business terms.
  • Work closely with Energy, Sustainability, Real Estate, and reporting teams to validate business logic, reconcile conflicting data sources, and prioritize solutions based on coverage, automation potential, data quality, cost, and fitness for use.
  • Implemented Dataiku DSS as a reusable orchestration and data-preparation layer across Snowflake, REST APIs, utility providers, and enterprise applications; built visual and Python recipes for ingestion, normalization, validation, managed folders, exception routing, and Snowflake persistence.
  • Designed secure customer and partner data-access patterns using Snowflake APIs, AWS API Gateway and Lambda, API keys, secure views and row restrictions, SSO, IAM, and CloudWatch; produced architecture documentation and supported production issue resolution.
  • Built Snowflake, Snowpark, and Dynamic Table curation patterns and documented SQL, Snowflake, and GitHub standards; platform improvements cut data-load time 72%, server resource use 37%, storage cost 12%, processing time 16%, and query cost 30%.
  • Coordinated the 2026 GRESB submission across business and technical teams for six funds and 7,792 assets, achieving matched source-to-target counts, finalizing 11 asset fields, and correcting ownership logic for 2,246 properties.

Sr. Supply Chain Manager / Instock Manager / Sr. Business Intelligence Engineer

2021-012023-06
AMAZON, Seattle, US

Managed a $12B supply chain and technical initiatives spanning forecasting, inventory, procurement, logistics, and retail systems.

  • Translated operating problems and feedback from 200+ retail users into requirements for a cross-platform buyability, out-of-stock risk, and promotion-readiness solution; worked with Product and Engineering teams to cut low-value manual work 32%.
  • Managed competing priorities across forecasting, inventory, purchasing, logistics, promotions, and system constraints, using data to make tradeoffs and keep decisions tied to customer availability and financial impact.
  • Investigated unauthorized ordering-system changes, aligned business and engineering teams on the root cause, and prevented a potential $1.6M FCF loss; then worked with SCOT engineers to redesign forecast-override permissions across regions.
  • Resolved ordering defects by combining system configuration fixes with vendor-input changes, reducing defects 19%; adjusted forecasting models by product category, cutting promotion P90WE 12% and out-of-stock rate 4%.

Operations Manager

2020-062021-01
AMAZON, Thornton, US

Led a 300+ person warehouse operation and used statistical and Lean Six Sigma analysis to cut inbound cycle time 40%.

Purchasing Coordinator

2017-052017-12
GENERAL MOTORS, Sao Paulo, BR

Managed $70M in annual spend and a 100+ supplier network; led four buyers and reduced new-product procurement cost 22% and current-component cost 11%.

Sr. Business Intelligence Analyst

2016-052017-05
GENERAL MOTORS, Sao Paulo, BR
  • Analyzed global procurement datasets and worked with Product Management, Finance, and Legal to identify $14M in tax and supplier savings.
  • Found cost discrepancies across 12,100+ SKUs, helping moderate and mitigate roughly $3M in supplier price increases.

Education

Master of Science (M.S.)

20192020
Massachusetts Institute of Technology (MIT)

Master of Science (M.S.), Supply Chain Management | Cambridge, MA 

MBA

20122015
FGV

MBA, Finance and Auditing | Sao Paulo