Amit Shahani
Senior Software Engineer | Data Engineering & Backend Development | Building Scalable ETL Pipelines & Analytics Solutions | Python • SQL • GCP
- Role
- Software Engineer at GlobalLogic
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Amit Shahani
Senior Software Engineer with 3+ years specializing in data engineering and backend development at GlobalLogic. I architect Python-based ETL pipelines and automated data solutions that have supported 150+ campaigns reaching over 10 million users.What I Do:I transform complex business requirements into high-performance technical solutions. My expertise spans building scalable data pipelines, optimizing database performance, and creating automated analytics systems that drive real business impact—like the 25% campaign ROI improvement I delivered through intelligent data processing.Technical Expertise- Data Engineering: ETL pipelines, data processing at scale (10M+ records), real-time analytics- Backend Development: Python, Django, Flask, RESTful API design- Database Optimization: MySQL, MongoDB—achieved 60% query performance improvements- Cloud & DevOps: Google Cloud Platform (BigQuery, Cloud Functions), CI/CD pipelinesBeyond the Code:I\'m passionate about mentoring junior engineers and have conducted 15+ technical interviews, helping build stronger engineering teams. I thrive in cross-functional, Agile environments and have successfully collaborated across 3 time zones to deliver mission-critical projects.Awards & Recognition:Multiple awards including Alpha Player Award and Quarterly Eminence Awards for consistent high performance and technical excellence.I\'m always interested in connecting with fellow engineers, discussing data engineering challenges, or exploring opportunities to create scalable solutions that make a real difference.Let\'s connect!
Experience
Software Engineer
Apr 2023 — Present · Gurugram, IN
Architected and deployed Python-based ETL pipelines processing 10M+ user records across 150+ global campaigns, reducing data processing time by 40% and enabling real-time campaign analytics- Engineered automated reporting systems using pandas and SQL, processing 5M+ records daily to generate actionable insights that improved campaign ROI by 25%- Partnered with cross-functional teams across 3 time zones to design custom Python automation scripts, improving team resource utilization by 30% through optimized allocation workflows- Optimized data pipelines and analytics workflows, enabling stakeholders to make faster data-driven decisions through streamlined reporting and visualization- Mentored 3 junior engineers on Python best practices, code review standards, and database optimization techniques- Conducted 15+ technical interviews and developed assessment frameworks that improved candidate evaluation consistency
Education
Mother Mary's Jr. College of Commerce & Science
Science
2013
Shree L. R. Tiwari College of Engineering.
Bachelor of Engineering - BE, Computer Engineering
2019
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