Srinivas Chennupati is a seasoned Software Engineer and Enterprise Data Architect with over 14 years of experience, currently serving at Hilton where he spearheaded the development of a next-generation Enterprise Data Warehouse on AWS that saved the company tens of millions of dollars. With a Master's in Information Science from California University of Management and Sciences, Srinivas excels in designing robust data infrastructures and deep learning pipelines across banking, finance, mortgage, and hospitality domains.
His technical expertise spans AWS cloud services (Lambda, S3, Redshift, Glue), Apache Spark, Python, SQL, and ETL processes, complemented by proficiency in NLP using libraries like Spacy and NLTK. At Fannie Mae, he built optimized data processing frameworks for mortgage applications, while at Capital One, he developed scalable ETL pipelines for payment processing systems.
Srinivas approaches projects with meticulous attention to detail and thrives in collaborative environments where he can leverage his technical skills to create comprehensive data solutions that drive business value. An AWS Solutions Architect Associate, he remains committed to staying at the forefront of industry trends and technologies.