Sitanshu Kushwaha

Sitanshu Kushwaha

Data Engineer @Optimum Media

New York, NY, US
EMAILS
s••••••••@optimum.media
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Aug 2025 — Present

Data Engineer @Optimum Media

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New York, NY, US

EDUCATION

2016 — 2020

St. Francis Institute Of Technology

Bachelor of Engineering - BE, Computer Engineering

N/A

NYU Stern School of Business

Data Management and Strategy

2023 — 2025

New York University

Master of Science - MS, Computer Science

ABOUT SITANSHU KUSHWAHA

I am a data-driven professional with 3+ years of experience spanning Big Data, Machine Learning, and Software Engineering, complemented by an MS in Computer Science at NYU (Graduating May 2025). My passion lies in leveraging cutting-edge technologies to solve complex problems, optimize workflows, and deliver scalable, impactful solutions.During my tenure at NBCUniversal, I reengineered data pipelines for petabyte-scale datasets, cutting query times from hours to minutes for 35M+ subscribers. At Johnson & Johnson, I spearheaded Databricks Spark optimizations, achieving a 30% reduction in processing times for multi-terabyte datasets.My technical expertise extends beyond traditional machine learning projects. I have developed LLM-based Retrieval-Augmented Generation (RAG) applications for personalized insights and automated processes, showcasing my ability to integrate AI into scalable production systems. My portfolio includes projects in recommender systems, real-time data processing pipelines, and cloud-native architectures.With hands-on expertise in Databricks, PySpark, Kafka, SQL, and AWS, I thrive in environments demanding performance, scalability, and innovation. I aim to contribute to projects that push the boundaries of data engineering and AI to create meaningful impact.Key Skills:Big Data (Databricks, PySpark, Snowflake, Kafka, BigQuery)| Cloud Computing (AWS, GCP, Azure)| SQL | Machine Learning (LLMs, NLP, Deep Learning)| Data Pipelines | CI/CD | RAG Models | Scalable AI Solutions | Real-Time SystemsLet’s connect to collaborate on data engineering, machine learning, or software development projects!

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