About

Kanika Narang is a skilled data engineer with a wealth of experience in the field. Currently working as a Data Engineer at Niyo, she is responsible for designing and developing data pipelines and data warehouse solutions. With a background in Computer Engineering, Kanika has a strong foundation in data structures and algorithms, which she applies to her work in data engineering. Prior to her current role, Kanika worked as a Data Engineering Specialist at GE Aviation, where she was responsible for designing and developing data pipelines using AWS Glue and Apache Airflow. She also has experience in ETL development, data modeling, and data warehousing. Her technical expertise includes AWS, SQL, Python, Javascript, MySQL, Jupyter, Docker, MongoDB, and ML. Kanika is a highly motivated and detail-oriented individual who is passionate about solving complex data problems. She has a proven track record of delivering high-quality solutions that meet business requirements. Her experience in data engineering has given her a deep understanding of data architecture, data modeling, and data integration. She is also experienced in working with cross-functional teams and collaborating with stakeholders to drive project success. Kanika holds a Bachelor of Engineering degree from MKSSS's Cummins College of Engineering, where she majored in Computer Engineering. She is a quick learner and is always looking to expand her knowledge and skills. With 4.86 years of relevant experience in data engineering, Kanika is a valuable asset to any team.