About

Love Prakash is a technically proficient professional with over 5 years of experience in the IT industry. He is currently working as a Data Engineer at Capgemini, where he is responsible for creating end-to-end ETL pipelines through SSIS, designing, building, and deploying BI solutions, and maintaining and developing data analytics platforms on Snowflake and Tableau. He is also proficient in cloud providers like AWS and Azure and has experience in deploying and scheduling ETL scripts on Rundeck Server. Love's previous experience includes working as a Data Science Analyst at QL2 Software India Pvt Ltd, where he was responsible for gathering and analyzing business requirements, creating specifications, and developing to those specifications. He also has experience in extracting, transforming, and loading (ETL) data from Excel, Flat file, Oracle to MS SQL Server by using BCP utility, DTS, and SSIS services. Love has strong SQL skills and database programming skills, including creating views, stored procedures, and triggers. He has also performed exploratory data analysis on e-commerce websites using SQL, Python, Pandas, and Numpy to get crucial insights. Love has also worked as a Data Science Engineer at Dronamaps, where he was responsible for feature extraction of geospatial data using machine learning, segmentation of Raster images (Orthomosaic), image processing of large datasets, 3D creation, and web scraping using Python (Library-BeautifulSoup, Requests). Love holds a Post Graduate Diploma in Big Data Analytics from CDAC and a Bachelor of Technology in Computer Science from Maharshi Dayanand University. His tech stack includes Data Engineering, SQL, Senior Software Engineer, Python, ETL, Data Scientist, Azure, Snowflake, AWS, Big Data, Pandas, Postgres, Image Processing, ML, and Web. With 5.28 years of relevant experience, Love is a data science enthusiast with a knack for exploring new technology in the Big Data domain.