Data Engineer · Chennai, India

I make messy data useful, and the workflows around it dependable.

I build data extraction pipelines, ETL workflows, and automation systems that turn complex data into reliable, usable information. Currently expanding into modern data platforms and large-scale data engineering.

I start by understanding the edge cases, then choose the simplest system that can handle them.

Khaleel, Data Engineer
Mohammed KhaleelullahData Engineer · Data workflows & automation

Current internal-use snapshot, approved for portfolio use. Success rate excludes intentional user cancellations.

Experience

A career shaped by real data workflows.

From collecting and checking data to building dependable extraction, processing, and automation systems.

Engineering progression

From raw collection to dependable systems.

01 → 02 → 03 · role progression
01JAN–APR 2024

Data Engineering Intern

Edvoy · Internship

Started with real-world data collection and quality-control work for university and education datasets.

  • Developed initial extraction scripts for web sources.
  • Checked structured data for missing information and inconsistencies.
  • Investigated issues with the team to improve data consistency.
AutomationScrapingPlaywrightTypeScript
02MAY–JUN 2024

Junior Data Engineer

Edvoy · Full-time

Expanded into scraping, automation, and internal data workflows across varied university websites.

  • Built and maintained extraction workflows.
  • Performed validation and troubleshooting.
  • Automated repetitive tasks in internal tools and dashboards.
PythonScrapingPlaywrightAutomation
03JUL 2024 → PRESENT

Data Engineer

Edvoy · Full-time

Design and maintain extraction, processing, and automation workflows for university and education data.

  • Transform and validate records for downstream use.
  • Contribute to backend services, dashboards, and workflow automation.
  • Work across operations, development, and quality control to resolve data issues.
PythonTypeScriptScrapyPlaywrightETLNode.js

Curiosity in practice

Interested in how thoughtful data work becomes useful products.

Explore the projects, follow the career story, or get in touch.