Neha User
@nehauser8
Data engineer specializing in cloud data platforms and PySpark optimization.
What I'm looking for
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
Data Engineer
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.
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.
Education
Degrees, certifications, and relevant coursework
University of Mumbai
Bachelor of Engineering, Computer Engineering
2015 - 2019
Grade: CGPA 9.0
Completed a Bachelor of Engineering in Computer Engineering with a strong academic record (CGPA 9.0) between July 2015 and May 2019.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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