Latin America Purchase Pattern Insights

I need a robust big-data workflow that will let me uncover how customers across Latin America actually buy. The primary aim is to analyze customer behavior, zeroing in on purchase patterns. For phase one the only source on hand is a wide set of structured and unstructured customer surveys gathered in Spanish and Portuguese markets. The job is to clean, standardize, and load these surveys into an environment that supports high-volume processing (Spark, Hadoop, or an equivalent cloud stack you favour).

Once the data is stable, I want exploratory analysis, clustering, and predictive modelling that highlight:
• Which demographic segments purchase which categories most frequently
• Seasonal or regional spikes in demand
• Correlations between stated preferences and actual spend reported in the surveys

Tableau, Power BI, or looker-style dashboards should turn the findings into clear visuals I can present to regional marketing leads. If you prefer another modern BI tool, let me know; I’m flexible as long as the output is interactive and shareable.

Future phases may fold in online sales or in-store transaction feeds, so design the pipeline with connectors that keep those paths open. For now, success means:
1. A reproducible ETL or ELT script/notebook that ingests and cleans every survey file.
2. A documented analytics model with notebooks or scripts plus concise commentary that explains the insights.
3. An interactive dashboard and a short slide deck (English) summarizing key purchase-pattern findings.

Clear code comments, reproducibility, and a brief hand-off call will close the project.