1
Ingest2
Normalize3
Dedupe4
Enrich5
ScoreData Engineering · Automation
Lead Intelligence Platform
A production-grade lead processing engine capable of cleaning, normalizing, deduplicating, enriching and scoring business data.
Built as a complete data-processing system rather than a simple scraper.
Node.jsJavaScriptApifyCheerioREST APIs
Private codebase — details available on request
Architecture
CSV / JSON ingestion→Normalization→Deduplication→Website crawling→Enrichment→Technology detection→ICP scoring→Data quality scoring→Provenance tracking→Concurrency, caching & retry mechanisms
Role
Designed and built the full pipeline, from ingestion contracts to scoring output.
Key engineering decisions
- Treated deduplication and provenance as first-class concerns instead of an afterthought, so every record's lineage stays traceable.
- Built concurrency, caching and retry mechanisms directly into the pipeline to keep large batch runs reliable under real-world failure rates.
- Separated enrichment (website crawling, technology detection) from scoring (ICP fit, data quality) so each stage can evolve independently.
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