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Nimisha James

@nimishajames

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Entry-level data and AI engineer building ETL/ELT pipelines, dashboards, and autonomous systems.

India

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What I'm looking for

I’m looking for a hands-on role where I can build reliable data pipelines and apply ML/AI to real products—shipping faster, improving data quality, and learning through ownership of end-to-end systems.

I’m a BTech student in Computer Science & Engineering building end-to-end data and AI solutions with a strong bias for reliability, performance, and measurable impact. During my internship at Hevo Data, I built and troubleshot ETL/ELT pipelines for 150+ SaaS and database sources across 15+ destinations—diagnosing schema drift, connector failures, latency, and improving data-quality validation.

I’m hands-on with cloud warehousing and incremental replication, and I also optimize operational setup (including AWS VPC peering and IAM roles) for hybrid workflows. Alongside this, I led R&D as Computer Science Head for an autonomous drone club—delivering an AI obstacle-navigation drone and an autonomous plant disease detection drone with 94% accuracy using CNN/ViT plus explainability (Grad-CAM++ and attention heatmaps).

Experience

Work history, roles, and key accomplishments

Intern

Hevo Data

Jun 2025 - Dec 2025 (6 months)

Built and troubleshooted ETL/ELT pipelines using Hevo’s framework across 150+ SaaS and database sources, diagnosing issues such as schema drift, connector failures, and latency. Integrated multiple sources into cloud data warehouses and configured hybrid cloud infrastructure to improve pipeline reliability and reduce data movement time.

ETL ELT Data Pipelines Troubleshooting Data Validation Python SQL CDC MongoDB MySQL PostgreSQL MSSQL Google Ads VPN Redshift Snowflake BigQuery

Computer Science Head

Team Phoenix - The Official Drone Club of MITWPU

Mar 2024 - Oct 2025 (1 year 7 months)

Led autonomous drone R&D for disaster management and agriculture, designing AI-based navigation and developing a plant disease detection drone. Implemented computer vision and robotics capabilities including obstacle navigation, human following, and explainable disease detection.

YOLO MAVSDK Human Following CNN GradCAM++ROS