Atharva Upadhyay
Data Engineer Intern @Nimbus
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WORK HISTORY
Data Engineer Intern @Nimbus
Designed and deployed high-throughput ETL/ELT pipelines in Python (Scrapy, Pandas) & PostgreSQLprocessing 2M+ records/day.• Built automated data quality checks, anomaly detection, and profiling, lifting data reliability by 35%.• Orchestrated Azure ingestion with Blob Storage & Azure SQL and implemented incremental loads & partitioning.• Produced model-ready feature datasets and feature stores to accelerate downstream ML experimentation.• Worked in Agile/Scrum sprints; partnered with product and analytics to deliver SLA-backed data services.
EDUCATION
School of Data Science and Forecasting | DAVV University (NAAC Grade: A+)
Under Graguation, Artificial Intelligence, Data Science
ABOUT ATHARVA UPADHYAY
I’m a MTech student in Artificial Intelligence & Data Science with hands-on experience across data engineering, backend automation, and applied machine learning.I’ve worked on building scalable ETL pipelines, automating data ingestion, and preparing model-ready datasets using Python, SQL, and cloud platforms. My experience spans internships where I collaborated in agile teams to deliver reliable data systems and analytics solutions.I enjoy working at the intersection of data, engineering, and AI—turning raw data into usable systems and insights through clean pipelines, APIs, and ML models.Core interests:Data Engineering • Backend Systems • Machine Learning • Cloud & DevOpsOpen to learning-focused roles, internships, and impactful engineering opportunities.
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