STATUS
● Production
CLIENT
Internal Data Operations
YEAR
2025–2026
ROLE
Builder & Architect
STACK
ElectronNode.jsSupabasePostgreSQLPlaywrightWebTorrentCSV Processing
EVIDENCE LINKS
- ● Live demo unavailable (Private)
- ● Architecture details
Note: Where client systems are private, screenshots are anonymized and architecture is shown without protected data.
ElectronPDL — Esports Data Collection Pipeline
An automated web harvesting and data ingestion platform—built to centralize telemetry, web data, and static files into a unified data warehouse.
Problem
Data operations lacked a unified system to collect fragmented raw data spread across rate-limited web APIs, decentralized networks, and static data dumps. The challenge: manually coordinating these ingestion streams resulted in corrupted data, massive storage overhead, and frequent pipeline breaks.
Architecture & Solution
// System Pipeline
Orchestrated via a Node.js control layer, the pipeline utilizes headless browsers for reliable web scraping and custom parsers for static files. A central validation layer normalizes the data streams before executing batched, idempotent writes to a centralized PostgreSQL warehouse.
Implementation Decisions
- Headless scraping orchestration — Utilizing automated headless browsers ensures reliable data extraction across heavily obfuscated and dynamically loaded web endpoints.
- Pre-write schema validation — Forcing all incoming data through a strict validation layer prevents corrupted or malformed records from poisoning the downstream database.
- Centralized Data Normalization — Normalizing disparate data formats (JSON, CSV, HTML) into a unified relational schema enables seamless downstream analytics.
System Ownership & Proof
System Stack
Electron, Node.js, Supabase, PostgreSQL, Playwright, WebTorrent, CSV Processing