TA.
1
Ingest
2
Normalize
3
Dedupe
4
Enrich
5
Score

Data 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 ingestionNormalizationDeduplicationWebsite crawlingEnrichmentTechnology detectionICP scoringData quality scoringProvenance trackingConcurrency, 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.