Suggestions
Nitisha Kharkwal
Senior Data Engineer at Salesforce
Professional Background
Nitisha Kharkwal is an accomplished data engineer and technology expert with a strong background in distributed computing frameworks, specifically in Big Data, Streaming, and NoSQL technologies. She has been a core member of the Center of Excellence (COE) team in her current and previous organizations, where she has gained significant experience working with leading technologies such as Hadoop, Hive, MapReduce, Spark, and MongoDB. Her diverse skill set and extensive knowledge in these areas have allowed her to contribute meaningfully to important projects, particularly in sectors like technology, manufacturing, and telecommunications.
Her career trajectory reflects not only a solid technical foundation but also an impressive ability to drive innovation and optimize team output. Nitisha has been part of multiple core consulting and implementation teams, where she has successfully addressed key business challenges and bottlenecks. Through progressive and responsible roles during program implementation for large multinational corporations (MNCs) like Hitachi, Salesforce, Infineon, and British Telecom, she has consistently enhanced customer satisfaction by improving key performance indicators (KPIs) and reducing client cost overheads.
As a dedicated data engineer, Nitisha has honed her abilities as both a competent technical programmer and a subject matter expert in Big Data tools. Her deep understanding and extensive hands-on experience in the Hadoop ecosystem—including HDFS, MapReduce, Hive, Sqoop, and Oozie—equip her to establish, configure, and optimize Hadoop clusters effectively, which leads to improved efficiency in daily operations. Moreover, she has successfully designed Hive tables that utilize dynamic partitioning, facilitating complex data analysis and efficient storage and retrieval processes.
Education and Achievements
Nitisha's academic journey reflects her commitment to her field, starting with her Senior Secondary Education in Science at Delhi Public School - Vindhyanagar. She then pursued a Bachelor of Engineering (BE) in Electronics and Communications Engineering at G.H. Raisoni College of Engineering Nagpur (GHRCE), where she laid a solid groundwork for her career in technology.
Her educational background, combined with her passion for data science, has fostered a nuanced understanding of how data can transform business operations, improve efficiencies, and ultimately contribute positively to society. Nitisha's belief in the potential of data science to enhance everyday life is a testament to her dedication to utilizing technology for societal benefit.
Career Highlights
- Senior Member of Technical Staff at Salesforce: In her current role, Nitisha has leveraged her extensive knowledge of Big Data to drive important initiatives that significantly improve data handling capabilities, stakeholder engagement, and project outcomes.
- Data Engineer Roles: Previously, as a Data Engineer at both Salesforce and BT, she played a critical role in the development and implementation of data architecture strategies that facilitated the processing of large datasets, further solidifying her technical expertise and commitment to quality.
- Software Engineer at Larsen & Toubro Infotech Ltd.: Nitisha began her professional journey here, where she contributed to software solutions that supported various technological advancements in the industry.
Nitisha's comprehensive understanding of the intricacies involved in large-scale data management and her proactive approach to problem-solving have made her an asset to every team she has been part of.
Passion for Data Science
Nitisha is deeply passionate about the field of Data Science and the transformative impact it can have on the world. She believes that with the proper application of data analytics and machine learning, it is possible to generate insights that drive positive change in various domains, from operational efficiencies in corporations to enhancing the quality of life at an individual level. Her unwavering belief that Data Science can lead to a brighter future exemplifies her dedication to her work and the communities she serves.