Jp Bonard
Data Engineer III — Finance Technology & Analytics @ Amazon | Ex IBM/Accenture
- Role
- Data Engineer Iii, Ww Stores Fintech at Amazon
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Jp Bonard
I’m a Data Engineer focused on Finance & Analytics, building planning, forecasting, and reporting systems that teams can trust at scale.Over 15+ years across consulting and in-house roles, I’ve delivered customer-facing solutions across the US, Canada, and Brazil — turning complex finance logic into curated dimensional models, governed metrics, and automated pipelines used for executive and self-service decision-making.I focus on platform qualities: dimensional modeling, semantic layers, metric calculations, data quality, performance, and operability — with hands-on engineering in AWS-based data ecosystems using SQL, Python, Spark/Scala, and experience with IBM Cognos TM1 / Planning Analytics.
Experience
Data Engineer Iii, Ww Stores Fintech
Jul 2024 — Present · Seattle, WA, US
Finance planning & analytics architecture supporting P&L, operating income, and FP & A reporting for executive and self-service use cases• Designing dimensional models, calculation logic, and data pipelines for planning/reporting, integrated with the finance curated data layer• Partnering with FP & A and Product to translate financial definitions and drivers into scalable, governed analytics systems• Leading PoCs on OLAP and semantic-layer technologies to enable low-latency analytics and AI/agent-ready finance semantics
Education
UC Irvine
Specialized Studies Program, Business Intelligence and Data Warehousing
2009 — 2010
British Columbia Institute of Technology
BI/DW - SQL Server and Oracle
2009 — 2010
Pontifícia Universidade Católica do Rio de Janeiro
Bachelor, Computer science
1999 — 2003
IETEC - Instituto de Ensino Tecnológico Belo Horizonte
Postgraduate, Management and Information Technology
Skills
- Data Warehousing
- Testing
- Business Intelligence
- Analysis Services
- Ssrs
- Oracle
- Data Mining
- Requirements Analysis
- T-Sql
- Ssis
- Project Management
- Databases
- Performance Management
- Microsoft Sql Server
- Data Integration
- Pmo
- Pl/Sql
- Ssas
- Olap
- Requirements Gathering
- Etl
- Data Quality
- Tm1
- Business Analysis
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