Open to opportunities

Hammad Qureshi

@hammadqureshi

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Backend Engineer building scalable web scraping, real-time APIs, and reliable data pipelines with Django and Kafka.

Pakistan

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What I'm looking for

I’m looking for a backend/data role where I can build scalable scraping pipelines, real-time validation APIs, and dependable monitoring—shipping production systems with measurable impact.

I’m a Backend Engineer focused on building production-grade web scrapers, reliable data ingestion systems, and robust APIs. At Gap Dynamics, I built and maintained 500+ production-grade scrapers using Scrapy for large-scale data extraction and operational visibility.

I’ve designed scalable backend architecture and automation systems powering products like PermitPulse and Reverto, including real-time data validation microservices using Django and Kafka. I also engineered monitoring and alerting for scraper infrastructure, improving uptime and reducing failure rates through proactive operational dashboards.

Previously, at GoodNotes Inc., I supported around 300+ scraping scripts and contributed to a distributed system with continuous data ingestion, monitoring, and retry strategies. My projects include a reverse lookup API that increased lead generation by 500% and an automated tender notification system that reduced manual monitoring time by 90%.

Experience

Work history, roles, and key accomplishments

Current

Backend Engineer

Current

Gap Dynamics

Oct 2023 - Present (2 years 8 months)

Built and maintained 500+ production-grade web scrapers with Scrapy for large-scale data extraction. Developed Django + Kafka real-time validation microservices, monitoring/alerting, and internal dashboards to improve scraper reliability and operational visibility.

Python Django Scrapy Playwright Kafka AWS Docker Monitoring And Alerting Data Validation

Contract Backend Engineer

GoodNotes Inc.

Mar 2023 - Sep 2023 (6 months)

Built and maintained 300+ web scraping scripts for university catalog extraction and supported distributed continuous data ingestion. Implemented monitoring and retry strategies to ensure 24/7 pipeline reliability while collaborating with a 20+ member cross-functional Dev and DevOps team.

Python Django Scrapy Web Scraping Distributed Systems Data Pipelines Monitoring Retry Strategies High Availability Continuous Delivery

Education

Degrees, certifications, and relevant coursework

FAST-NUCES

BCS (Hons), Computer Science

Grade: CGPA: 3.27

BCS (Hons) degree specializing in Computer Science at FAST-NUCES. Coursework included Databases, Programming, Algorithms, Operating Systems, Artificial Intelligence, Machine Learning, and mathematical electives.