About

Nivedita Singh is a highly skilled data engineer and data scientist with a passion for building a better future. With over 4.60 years of relevant experience, Nivedita has worked with niche technologies such as Kafka, PySpark, and Azure, collaborating with AI to deliver innovative solutions. Currently working as an Associate Engineer at Capgemini, Nivedita is responsible for designing and implementing data models, developing data pipelines, and delivering data-driven insights to clients. Nivedita's expertise extends beyond data engineering and data science, as she has previously worked as a Software Engineer and an Associate Software Engineer at iq innovation hub and Sungard, respectively. Her experience in these roles has given her a unique perspective on software development and has allowed her to develop a well-rounded skill set. Nivedita holds a Master's degree in Data Modeling/Warehousing and Database Administration from Bvdu imed, which she completed in 2018. Her education has equipped her with the knowledge and skills necessary to design and implement complex data models and data warehouses. In addition to her technical skills, Nivedita is an excellent communicator and collaborator. She is able to work effectively with clients, stakeholders, and team members to deliver high-quality solutions that meet their needs and exceed their expectations. Overall, Nivedita is a talented data engineer and data scientist who is passionate about using her skills to build a better future. With her expertise in niche technologies, her well-rounded skill set, and her excellent communication and collaboration skills, Nivedita is a valuable asset to any organization.