Juhi Bose

Background

About Juhi Bose

Experienced Data Engineer with 4+ years of success in designing scalable, production-ready ETL pipelines using AWS, PySpark, and Python. I specialize in building reusable frameworks, optimizing data workflows, and ensuring high data quality in enterprise-grade environments. At Barclays, I’ve led the development of cloud-native solutions for large-scale data processing — including utilities for decoding mainframe files and shell-based automation that reduced manual efforts by 30%+. I bring deep experience working with structured and semi-structured data across both relational and NoSQL systems. Certified in AWS Cloud Practitioner and Power BI, I combine backend engineering with frontend visibility. I’m fluent in S3, Glue, Redshift, SQL, and Shell scripting — and passionate about building data platforms that empower real-time analytics, insights, and innovation. Always eager to apply my skills in innovative, high-impact environments — especially those embracing cloud transformation, data modernization, and advanced analytics across global teams.