Shardha Mommali
About Shardha Mommali
Shardha Mommali is a Senior Data Engineer at AirAsia, where she has worked since 2021. She holds a B.Sc in Information Technology from Smt Chandibai Himathmal Mansukhani and an M.Sc in Information Technology from the University of Mumbai, and has extensive experience in cloud platforms, programming, and data analysis.
Work at AirAsia
Shardha Mommali has been employed at AirAsia as a Senior Data Engineer since 2021. In this role, she has contributed to various data engineering projects and initiatives within the company. Her expertise in cloud platforms and programming languages supports AirAsia's data-driven decision-making processes.
Education and Expertise
Shardha Mommali holds a Bachelor of Science in Information Technology from Smt Chandibai Himathmal Mansukhani, where she studied from 2009 to 2012. She furthered her education with a Master of Science in Information Technology from the University of Mumbai, completing her studies from 2015 to 2017. Her academic background provides a solid foundation for her technical skills.
Background in Data Engineering
Prior to her current position, Shardha Mommali worked at Tata Consultancy Services as a Senior Data Engineer from 2013 to 2021. During her eight years there, she gained extensive experience in data engineering, focusing on big data processing and database management. This background has equipped her with valuable skills in the industry.
Technical Skills and Tools
Shardha Mommali possesses advanced skills in cloud platforms, specifically Google Cloud Platform (GCP) and AWS. She is proficient in programming languages such as Python and Pyspark, and has a strong background in SQL and Teradata for database management. Additionally, she has expertise in implementing data pipelines using Apache Airflow and Terraform.
Machine Learning and Data Analysis
Shardha Mommali has experience in utilizing machine learning techniques and natural language processing (NLP) for data analysis. Her ability to apply these advanced techniques enhances her contributions to data-driven projects and initiatives in her professional role.