Release + Data Integrity

QA systems, scraping ops, and data checks

Indra Gunawan Wibisono

I help teams trust releases and scraped data.

QA lead and data operations builder for web apps, crawlers, dashboards, and internal tools.

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QA ownership

UI/API tests, regression scope, release gates, deploy checks

Data reliability

SQL validation, crawl checks, completeness review

Internal tooling

React, Next.js, Python, TypeScript, Linux

Operational visibility

Dashboards for crawl progress, QA status, productivity

Work log

Test the release. Validate the data. Make status visible.

April 2026 - Present

PT Bentara Tabang Nusantara (BETA-UAS)

Software Development Consultant / Bandung

Engineering guidance for internal software teams.

  • Guide environment setup, workflow planning, and release preparation.
  • Shape documentation, tooling readiness, and implementation handoff.
September 2021 - Present

FoodStyles

Software Quality Assurance Lead / Data Operations Lead / London

Quality leadership across web apps, Chrome extensions, crawlers, scraping tools, and internal data systems.

  • Lead UI/API testing, regression coverage, Jira flow, and release gates.
  • Validate crawl outputs with SQL checks for completeness, accuracy, and consistency.
  • Design dashboards for crawl progress, QA status, release health, and productivity.
  • Build tooling for crawling jobs, distributed nodes, allocation, and reliability.

Evidence files

What the work looks like in practice.

Internal tools Tooling builder

Crawling Operations Tooling

  • Job management
  • Node allocation
  • Linux VPS operations
  • Workflow automation
Data operations Data Operations Lead

Crawling Output Validation

  • Completeness checks
  • Duplicate detection
  • Consistency review
  • Output readiness
Reporting Dashboard designer

Operational Dashboards

  • QA status reporting
  • Crawling progress
  • Team productivity
  • Operational decisions
Quality assurance QA Lead

Release Validation System

  • UI/API test coverage
  • Regression review
  • Bug verification workflow
  • Deployment checks

Live build

Scrape.id turns extraction into a repeatable workflow.

Builder and platform operator

Scraping SaaS

A platform for automated scraping, structured extraction, and repeatable data workflows.

Visit Scrape.id

Stack

ReactPlaywrightCrawleeJavaScriptStructured data workflows

Outcomes

  • Collect website data and convert it into structured outputs.
  • Configure scraping jobs, review extraction, and handle output quality.
  • Bring QA checks into scraping operations before downstream use.

Tool bench

The stack stays practical.

QA & Testing

Test StrategyUI/API TestingRegression TestingRelease ValidationPlaywrightPostmanJira

Data Operations

Web CrawlingWeb ScrapingData ExtractionSQL ValidationData Quality ChecksOutput Readiness

Data & Reporting

PostgreSQLBigQueryLooker StudioDashboardsOperational Reporting

Development & Tools

PythonJavaScriptTypeScriptReactNext.jsLinuxGit