Deepa Nandi — Operations Associate

Results-driven Data Engineer with experience across banking, insurance, and digital transformation projects. I specialize in building large-scale data pipelines, modernizing legacy ecosystems, and enabling data-driven decision making for enterprise systems. My core expertise spans Big Data engineering, cloud migration, and distributed data processing using AWS, GCP, Azure Databricks, Azure Data Factory, and PySpark/Scala-based pipelines. I have delivered end-to-end solutions involving data ingestion, ETL/ELT design, data quality frameworks, orchestration, and performance optimization in both on-prem and cloud environments. I have worked with top global organizations including JP Morgan Chase, Accenture, and TCS, contributing to projects involving risk analytics, data warehousing, real-time streaming, and scalable cloud-native data platforms. I’m passionate about solving complex data problems, optimizing systems for scale, and continuously learning new technologies to drive impactful business outcomes.

Stackforce AI infers this person is a Data Engineer specializing in Fintech and cloud-based data solutions.

Location: Bengaluru, Karnataka, India

Experience: 6 yrs 2 mos