I am a results-driven software engineer specializing in Python, Django, Scrapy, React, PostgreSQL, Databricks, and PySpark. I design scalable scraping frameworks, build robust data pipelines, implement SCD Type 2 for historical tracking, and optimize workflows for large-scale data ingestion across 2000+ scrapers. I thrive on turning complex scraping challenges into reliable production systems with efficient Git-driven ticket workflows and proactive proxy management.
I also bring a strong background in machine learning, dashboards, and real-time data processing. I have led small engineering teams, improved ticket velocity, and delivered end-to-end solutions—from crawling architectures to data visualization dashboards, including cricket data analytics. I am passionate about data-driven decision making and mentoring teammates to ship high-quality, production-ready software.
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