Shivam Gupta
Data Engineer III @ JPMorganChase
- Role
- Data Engineer Iii at 摩根大通
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Shivam Gupta
Shivam Gupta is a Data Engineer with 7 years of industry experience, including 5+ years specializing in building scalable ETL pipelines and modern data platforms. He has a strong command of Spark/PySpark, Python, AWS, Snowflake, Airflow, and Databricks, along with hands-on expertise in optimizing data workflows, improving data quality, and architecting cost-efficient solutions at scale. His work spans ingesting and transforming millions of records, orchestrating complex pipelines, enabling analytics for 100K+ users, and integrating data with LLM-powered systems for real-time insights. I help Data Engineers & SDEs with career guidance, mock interviews,and interview preparation. Book a 1:1 session via Topmate:https://topmate.io/shivam_gupta_1509/Key Projects:Built large-scale ETL pipelines (10M+ records) powering LLM-driven real-time insights through QBot, improving context-aware responses for enterprise users.Designed and transformed 5M+ row datasets to fix missing values, outliers, and duplicates, boosting downstream data integrity and reporting accuracy.Developed an ad-break detection system using OpenCV, a RASA chatbot, and a genetic algorithm–based timetable scheduler, showcasing versatility across AI, automation, and optimization.Beyond engineering, Shivam enjoys solving algorithmic challenges, experimenting with computer vision, and building automation scripts. He loves exploring side projects - ranging from ad-break detection using OpenCV to AI chatbots with RASA, and even genetic-algorithm-based scheduling systems. He’s also passionate about analytical storytelling, dashboard design, and bringing clarity to messy datasets.
Experience
Data Engineer Iii
Nov 2025 — Present · Hyderabad, IN
Education
Shri Shankaracharya Technical Campus Bhilai
Bachelor's degree, Computer Science
2014 — 2018
Bharat Mata Higher Secondary School
Higher Education
2012 — 2014
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