Hi! I'm Himanshu Prajapati, a passionate Data Engineer with over 4 years of experience in designing cloud-native ETL pipelines and real-time workflows using tools like AWS, Spark, and Airflow. I love working on large-scale data processing and optimizing SQL queries to make data workflows more efficient and cost-effective. Currently, I'm pursuing my MS in Business Analytics & Information Systems at the University of South Florida, where I'm sharpening my skills and working on exciting projects. I enjoy leveraging my technical expertise to build scalable, automated data pipelines and improve data availability. My background includes leading teams, developing serverless APIs, and deploying production-grade data solutions. When I'm not coding or optimizing data flows, I’m always eager to learn new technologies and contribute to innovative data engineering projects.

Himanshu Prajapati

Hi! I'm Himanshu Prajapati, a passionate Data Engineer with over 4 years of experience in designing cloud-native ETL pipelines and real-time workflows using tools like AWS, Spark, and Airflow. I love working on large-scale data processing and optimizing SQL queries to make data workflows more efficient and cost-effective. Currently, I'm pursuing my MS in Business Analytics & Information Systems at the University of South Florida, where I'm sharpening my skills and working on exciting projects. I enjoy leveraging my technical expertise to build scalable, automated data pipelines and improve data availability. My background includes leading teams, developing serverless APIs, and deploying production-grade data solutions. When I'm not coding or optimizing data flows, I’m always eager to learn new technologies and contribute to innovative data engineering projects.

Available to hire

Hi! I’m Himanshu Prajapati, a passionate Data Engineer with over 4 years of experience in designing cloud-native ETL pipelines and real-time workflows using tools like AWS, Spark, and Airflow. I love working on large-scale data processing and optimizing SQL queries to make data workflows more efficient and cost-effective. Currently, I’m pursuing my MS in Business Analytics & Information Systems at the University of South Florida, where I’m sharpening my skills and working on exciting projects.

I enjoy leveraging my technical expertise to build scalable, automated data pipelines and improve data availability. My background includes leading teams, developing serverless APIs, and deploying production-grade data solutions. When I’m not coding or optimizing data flows, I’m always eager to learn new technologies and contribute to innovative data engineering projects.

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