Hi, I'm Ami Pandya - Lead Business Intelligence Engineer at Amazon
I am passionate about turning complex data into clear, strategic growth. I thrive in fast-paced environments where I can translate technical insights into product impact through advanced analytics and collaboration.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Delivered business data analysis for major media and retail organizations including Disney and Walmart Connect.
Currently architecting complex business intelligence and analytics solutions for large-scale advertising platforms at Amazon.
Can provide expert guidance on aligning technical data engineering workflows with high-level corporate product strategy.
🚀 Career trajectory
Foundation Building
Established core analytical expertise at U.S. Bank and Disney, focusing on essential business data evaluation.
✦ Data Foundation
✦ Financial Analytics
Strategic Scaling
Led high-impact analysis at Walmart Connect, bridging technical insight with product-level strategy for retail media.
✦ Retail Media
✦ Product Insights
Leadership Evolution
Currently scaling influence at Amazon Ads, orchestrating complex BI engineering initiatives at a global enterprise level.
✦ Enterprise BI
✦ Global Strategy
💪🏻 Superpowers
Data Narrative Architect
Transforming complex datasets into executive-level visual strategy
✦ Synthesize fragmented data points into cohesive operational narratives.
✦ Design impactful Power BI dashboards that guide leadership decision-making.
✦ Connect technical performance metrics to broader product strategy goals.
Marketing Effectiveness Specialist
Driving ROI through precision analytics and behavioral modeling
✦ Optimize advertising spend through rigorous data-driven performance tracking.
✦ Validate high-volume data streams to ensure marketing accuracy.
✦ Uncover hidden opportunities for growth within retail media ecosystems.
Operational Efficiency Catalyst
Refining business processes via automation and structural rigor
✦ Streamline data operations to reduce latency in decision cycles.
✦ Implement automated scripting solutions to improve team productivity.
✦ Apply lean methodologies to enhance end-to-end data processing efficiency.
I'm excited about
✦ Seeking communities of practice focused on advanced data science and machine learning applications.
✦ Looking to engage with thought leaders in the retail media and advertising technology space.
✦ Aiming to share and gain knowledge regarding the future of automated decision support systems.
I can help with
✦ Provide guidance on building scalable business intelligence frameworks within large organizations.
✦ Offer best practices for communicating complex data findings to non-technical executive stakeholders.
✦ Consult on optimizing data quality protocols to improve long-term operational reporting.
I would love your help on
✦ Seeking advice on integrating emerging AI tools into existing BI pipelines for increased efficiency.
✦ Looking for perspectives on evolving data governance standards in the fast-paced advertising sector.
✦ Interested in connecting with professionals who navigate the intersection of product management and data engineering.