Jay P
About Jay P
Jay P is a Senior Big Data Engineer at MassMutual in Plano, Texas, with extensive experience in data engineering, big data ecosystems, and cloud platforms.
Current Role at MassMutual
Jay P is currently employed as a Senior Big Data Engineer at MassMutual based in Plano, Texas, United States. His role at MassMutual involves working with large-scale data solutions, leveraging his extensive experience in the Big Data/Hadoop ecosystem and cloud platforms. His responsibilities likely include developing data pipelines, optimizing data processes, and ensuring efficient data storage and access.
Previous Role at Change Healthcare
Before joining MassMutual, Jay P worked as a Big Data Engineer at Change Healthcare in Nashville, Tennessee, United States, from 2019 to 2020 for one year. During his tenure, Jay was responsible for handling large datasets and implementing data engineering solutions that supported healthcare data management and analytics activities.
Work Experience at Target
Jay P was previously employed by Target as a Big Data Engineer, where he worked for eight months between 2018 and 2019 in Dallas, Texas, United States. At Target, Jay contributed to the company’s big data initiatives, focusing on data ingestion, processing, and analysis tasks to support business needs and customer insights.
Data Engineering at KPIT and SAP Labs India
Jay P's earlier career includes roles at KPIT and SAP Labs India. He worked as a Data Engineer at KPIT from 2017 to 2018 in Mumbai, Maharashtra, India, where he focused on data engineering tasks. Prior to this, he served as a Data Analyst at SAP Labs India from 2015 to 2017, also in Mumbai, dealing with data analysis and reporting tasks. These roles helped him build a strong foundation in data management and engineering.
Technical Skills and Tools
Jay P has extensive experience with various technical skills and tools. He is proficient in Python scripting and statistical functions using NumPy, Matplotlib, and Pandas. He has developed multiple automation scripts using Shell and Python for Spark jobs and Hive scripts. Jay is skilled in using visualization tools like Tableau and Power BI and has hands-on experience with GIT and Bitbucket. His proficiency extends to working with Big Data/Hadoop ecosystems, AWS, and Azure cloud platforms, as well as various NoSQL databases, including MongoDB and Cassandra.