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I need guidance and hands-on help creating a single, well-governed pipeline that pulls reputable real-world datasets into a structured repository I can trust for lead generation. The emphasis is on sales data, and I want to enrich it with people-level signals drawn—ethically and in full compliance—from Facebook, Twitter, and LinkedIn. You will teach me how to do it myself The end goal is a US-focused People-Data Aggregator that lets me search, filter, and export clean records for research, analytics, marketing, and especially outbound prospecting, without ever breaching platform terms, privacy laws, or industry codes of conduct. What I’m looking for from you • A repeatable sourcing strategy: where to find high-quality public or licensed datasets and how to vet them • A lightweight but scalable data-management framework: ingestion, normalization, storage, and access layers (SQL/NoSQL, warehousing, or lakehouse—whatever fits) • Compliance-first best practices: GDPR/CCPA checks, consent workflows, and clear documentation of each data provider’s permissible use • A working prototype or clear technical blueprint for the people-data aggregator tool, including API integration examples for Facebook, Twitter, and LinkedIn, plus sample enrichment logic Acceptance criteria 1. All sample data and code can be run end-to-end on my environment. 2. Every dataset and API call is accompanied by a permissions note proving it is legal for commercial lead-gen use. 3. Documentation explains how to scale the framework and stay compliant as regulations evolve. If this aligns with your expertise in ethical data sourcing, sales-oriented enrichment, and privacy-aware architecture, I’m ready to collaborate immediately.
Project ID: 40464681
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