About

Aditi Nabar is a highly skilled Data Engineer with over 5 years of experience in the field. She holds a Master's degree in Applied Mathematics from the University of Houston and a Bachelor's degree in Psychology from The University of Texas. Aditi's current role is as a Big Data Engineer at Comcast, where she is responsible for managing a 400+ node Hadoop platform with services including HDFS, Oozie, and YARN. She has also led the installation of the Hortonworks HDP Platform on a lab cluster and refactored text parsing scripts from Scala to Python. Previously, Aditi worked as a Data Engineer at Divvy, Inc. where she participated in design reviews, built and deployed products. She also worked at Innowatts, where she built application architecture using AWS services including EMR and S3 and released production deployments to Kubernetes. Aditi has experience building CI/CD pipelines using Drone to ensure codebase consistency across environments. She has also developed backend logic in PySpark and Pandas and performed application benchmarking, demonstrating potential runtime optimizations of up to 50%. Aditi has translated business-facing product user stories into technical user stories that drive engineering work and created application workflow diagrams to communicate with technical and non-technical stakeholders. Aditi is proficient in several technologies, including Python, R, data analysis, neural networks, Linux (Ubuntu, CentOS), and SAS. Her tech stack includes Data Engineering, AWS, Python, ML, Data Scientist, Neural Networks, CI/CD, Kubernetes, Pandas, Backend, Big Data, HDFS, Ansible, and Hadoop. Outside of work, Aditi exercises her data science and machine learning muscles against public datasets, and her projects can be found at aditinabar.github.io. Aditi's strong educational background and extensive experience in Data Engineering make her a valuable asset to any organization. She is a proactive problem solver who is always striving to improve her skills and knowledge in the field.