Sitanshu Kushwaha
Data Engineer @Optimum Media
Signup · Get unlimited contacts
WORK HISTORY
Data Engineer @Optimum Media
New York, NY, US
EDUCATION
St. Francis Institute Of Technology
Bachelor of Engineering - BE, Computer Engineering
NYU Stern School of Business
Data Management and Strategy
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!
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.