As a Data Engineer II at Knoema, I bring over four years of professional experience in creating and executing data pipelines for various clients across industries and domains. I work with a team of data engineers, analysts, and scientists to deliver data-driven solutions that align with the clients' reporting and analytics needs and business goals.Some of the esteemed clients I have supported include McKinsey & Company, Dun & Bradstreet, Capital Economics, Eldridge, and Southpoint Capital. For each project, I have leveraged my skills in Snowflake, Microsoft Azure, and Data Quality to ensure the accuracy, reliability, and scalability of the data sources, processes, and outputs. I have also contributed to the continuous improvement and optimization of the data engineering practices and standards at Knoema.I hold a Bachelor of Technology in Information Technology from North-Eastern Hill University, where I gained a solid foundation in data structures, algorithms, programming languages, and database systems. I have also obtained multiple certifications in Big Data, R, and Python from Udacity, IBM, and Udemy, respectively, to enhance my knowledge and skills in data engineering.I am passionate about data and its potential to transform businesses and society. I am motivated by the challenges and opportunities that data engineering offers, and I strive to learn new technologies and techniques to stay updated and competitive in this fast-paced and dynamic field. I am also a team player, a problem solver, and a lifelong learner, who values collaboration, innovation, and quality.