Open to opportunities

Nishad User

@nishaduser

Cloud Data Engineer building scalable AWS data pipelines, reliable data models, and cost/performance optimized analytics—now adding RAG/Agentic AI.

India

Message

What I'm looking for

I’m looking for a Cloud Data Engineering role where I can own end-to-end data pipelines and data products on AWS, prioritize data quality and reliability, and collaborate with teams to expand analytics with RAG/LLM capabilities.

I’m a Cloud Data Engineer with 4+ years building and operating reliable, scalable data pipelines and data models on AWS. I focus on data quality, reliability, and cost/performance, while delivering end-to-end data solutions that turn business needs into shipped outcomes.

At BMW TechWorks India, I build and operate production AWS pipelines (Glue, Redshift, Athena) orchestrated with Airflow and provisioned with Terraform for reproducible environments. I own ingestion, modeling, monitoring, performance tuning, and cost optimization, and I’ve extended the platform with RAG and Agentic AI capabilities.

Previously, at USV Pharma, I designed scalable infrastructure and pipelines that cut processing time by 50% and built automation that reduced processing time by 75%. Before that, as an Analyst at HCL Technologies, I performed SQL performance tuning and improved data retrieval speed by 20%.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

BMW TechWorks India

Mar 2025 - Present (1 year 4 months)

Build and operate production data pipelines on AWS (Glue, Redshift, Athena) orchestrated with Airflow using Terraform-provisioned, reproducible infrastructure. Own end-to-end data solutions including monitoring, performance tuning, cost optimization, and integrate LLM/RAG capabilities into the data platform.

AWS Glue Amazon Redshift Amazon Athena Apache Airflow Terraform CI CD Data Modeling Data Pipelines Performance Tuning Cost Optimization Data Products Real Time Analytics Batch Analytics AI Integration RAG Retrieval Augmented Generation

Data Engineer

USV Pharma

Jun 2024 - Mar 2025 (9 months)

Designed and implemented scalable data infrastructure and pipelines, including an automated pipeline that reduced processing time and enabled real-time analytics for stakeholders. Orchestrated workflows and used PySpark to serve cleaned, transformed datasets to data warehouses/lakes while improving availability and performance.

Data Pipelines Data Infrastructure Pyspark Data Warehousing Data Lake Workflow Orchestration ETL Performance Optimization Real Time Analytics Data Integration High Availability

Analyst

HCL Technologies

Aug 2022 - Jun 2024 (1 year 10 months)

Performed SQL performance tuning across multiple production systems to improve data retrieval speed. Collaborated with product, marketing, and technology teams to deliver data initiatives and align cross-functional workflows.

SQL SQL Tuning