Simran Jain

Lead Data Engineer @ kipi.bi

About Simran Jain

Simran Jain is a Lead Data Engineer at kipi.bi, where she has worked since 2022. With a background in computer science and experience in various engineering roles, she specializes in transforming data into actionable insights and building scalable systems using modern data technologies.

Work at kipi.bi

Simran Jain has been serving as the Lead Data Engineer at kipi.bi since 2022. Based in Bengaluru, Karnataka, India, she operates in a remote capacity. In this role, she focuses on transforming data into actionable insights that support business decisions. Her expertise in building systems at scale using modern data technologies is a key asset to the company.

Education and Expertise

Simran Jain earned her Bachelor of Technology (B.Tech.) in Computer Science from Rajasthan Technical University, Kota, where she studied from 2014 to 2018. Her educational background has equipped her with strong technical skills, particularly in SQL, ETL, Snowflake, and Python. She also possesses managerial and leadership skills, which enhance her capabilities in data engineering.

Professional Background

Simran Jain has a diverse professional background in data engineering and technology. Before joining kipi.bi, she worked at Tata Consultancy Services (TCS) from 2018 to 2022, progressing from Associate System Engineer-Trainee to System Engineer. Additionally, she was involved in the iStart - Rajasthan Student Startup Exposure Program with the Government of Rajasthan in 2018 and participated as a finalist in the Smart India Hackathon in 2017.

Leadership Roles in Toastmasters International

In 2020, Simran Jain held leadership positions within District 41 of Toastmasters International. She served as Club President for five months and also acted as Secretary for the same duration. These roles allowed her to develop her leadership and communication skills, which are valuable in her current data engineering role.

Career Development and Interests

Simran Jain actively seeks new opportunities in the field of data engineering. Her interest lies in leveraging emerging technologies to enhance data systems and processes. Her commitment to professional growth is evident through her continuous engagement in projects and leadership roles.

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