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nandini naidu

@nandininaidu

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Cloud Data Engineer specializing in multi-cloud ETL, Python, PySpark, and data platform optimization.

India

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What I'm looking for

I seek a mid-level cloud data engineering role focused on multi-cloud ETL, automation, performance optimization, and collaborative teams that value measurable impact.

I am a Cloud Data Engineer with ~3.9 years of hands-on experience building scalable ETL pipelines and data platforms across Azure, AWS, and GCP. I design and deploy Azure Data Factory pipelines, implement transformations in Databricks (Python, PySpark), build serverless AWS Lambda solutions with DynamoDB, and orchestrate DAGs in GCP Composer to deliver reliable, cost-efficient data solutions that enable real-time business insights.

My work has reduced ETL runtimes and optimization cycles by ~40%, supported high-throughput IoT processing with sub-4s latency, and produced automated dashboards and curated datasets for downstream analytics. I bring a strong focus on automation, monitoring, performance tuning, and collaboration to drive measurable impact for data-driven teams.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Tata Consultancy Services

Jun 2022 - Present (3 years 8 months)

Designed and deployed Azure Data Factory pipelines and Databricks (PySpark) transformations to ingest and curate retail sales data, reducing ETL runtime by 40% and enabling downstream analytics; implemented serverless AWS Lambda pipelines with DynamoDB for real-time IoT processing achieving sub-4s latency at scale.