Taniya Saini
About Taniya Saini
Taniya Saini is a Lead Data Engineer with extensive experience in data architecture and analytics, currently working at kipi.bi in Bengaluru, India. She has previously held positions at Shell and BlackRock, contributing to various projects in data engineering and software development.
Work at kipi.bi
Taniya Saini has been serving as the Lead Data Engineer at kipi.bi since 2021. In this role, she focuses on architecture, data modeling, and data pipeline implementation for OTT data analytics projects. Her work involves major platforms such as Netflix, Hotstar, and Amazon Prime. Taniya utilizes a diverse technology stack, including AWS S3, Lambda Functions, SQS, Cloudwatch, Snowflake, Tableau, Talend, and Python, to deliver effective data solutions.
Previous Experience at Shell
Taniya Saini worked at Shell in various capacities. She served as a Software Engineer from 2018 to 2020 for two years in Bengaluru, Karnataka, India. Following this, she worked as a Data Engineer for 10 months in 2021 in Gurgaon, Haryana, India. During her tenure, she collaborated with Solution Architects and leadership, taking on roles such as Technical Lead and Scrum Master.
Internship at BlackRock
In 2018, Taniya Saini completed a four-month internship as a Technical Analyst at BlackRock in Gurgaon, Haryana, India. This experience contributed to her foundational skills in data analysis and technical support, enhancing her capabilities in the technology sector.
Education and Expertise
Taniya Saini studied at the Thapar Institute of Engineering and Technology, where she earned a Bachelor of Technology (B.Tech.) in Software Engineering from 2014 to 2018. Her education laid the groundwork for her expertise in data engineering and software development, which she has applied in her professional roles.
Achievements and Awards
Throughout her career, Taniya Saini has received recognition for her contributions to project implementation and presentation. She was awarded the Best Captain and Best Team award, highlighting her effectiveness in leading teams and delivering successful outcomes in her projects.