Open to opportunities

Neha User

@nehauser8

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Data engineer specializing in cloud data platforms and PySpark optimization.

India

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What I'm looking for

I seek a data-focused role building scalable, governed cloud data platforms where I can optimize pipelines, reduce costs, mentor teammates, and drive reliable analytics delivery.

I am a data engineer with extensive hands-on experience building cloud-native data platforms focused on governance, reliability, and cost optimization. I design end-to-end pipelines and automation solutions using AWS services, PySpark, and orchestration tools to deliver dependable analytics-ready data.

At Principal Global Services I implemented config-driven cross-account data sharing with AWS Lake Formation, replaced Glue Crawler with PySpark to cut monthly AWS costs by 20%, and built SCD2 loads, Step Functions workflows, and alerting automations that streamlined operations across 20+ datasets.

Previously at Accenture I re-platformed credit-risk ETL from on-prem SAS to AWS, built fault-tolerant Airflow pipelines, introduced cost controls for EMR usage, and developed reconciliation tooling and data-quality frameworks—mentoring teammates and improving operational efficiency throughout.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Principal Global Services

Jan 2023 - Present (2 years 10 months)

Developed a cloud-based data platform for securities and investments, implemented config-driven AWS CDK sharing via Lake Formation, and optimized ETL to cut costs and improve reliability.

Pyspark AWS CDK AWS Lake Formation AWS Glue AWS Step Functions AWS Lambda SNS Pytest Data Governance

Data Engineering Analyst

Accenture

Feb 2021 - Jan 2023 (1 year 11 months)

Re-platformed financial credit risk ETL from on-premise SAS to AWS using PySpark and Airflow, automated backups and cluster controls to reduce costs by ~30% and increase efficiency.

Pyspark Apache Airflow AWS S3 Data Quality Automation ETL