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Sainetha User

@sainethauser

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ML-focused Data Engineer delivering scalable, secure cloud data and AI/ML pipelines.

United States

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What I'm looking for

I seek a role building scalable, production ML/data platforms where I can architect secure cloud pipelines, collaborate with ML teams, and drive automation, observability, and cost optimizations.

I am an experienced Data Engineer (AI/ML) with 4+ years building scalable, secure, and cost-efficient cloud data solutions using AWS EMR, PySpark, Databricks, Snowflake, and automation tooling. I have led end-to-end ETL and ML-support pipelines for credit-score, healthcare, and academic research domains, delivering measurable gains in reliability, accuracy, and cost savings.

I collaborate closely with AI/ML teams to deploy entity-resolution, duplicate-detection, RAG, and LLM-based chatbot solutions, and I implement CI/CD, encryption, audit compliance, and monitoring to ensure production-grade operations. My work includes optimizing cloud resources, designing data warehouses, and creating dashboards and tooling that improve model performance and stakeholder insights.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer (AI/ML)

Current

Truist

Apr 2025 - Present (9 months)

Architected AWS EMR-based pipelines for encrypted credit-score processing, improving data delivery speed and reliability and reducing manual intervention by 40% through Lambda/Step Functions automation.

Pyspark AWS Lambda Step Functions S3 CI CD Jenkins Encryption EMR Auto Scaling

Current

Machine Learning Research Analyst

Current

Syracuse University

Apr 2025 - Present (9 months)

Designed and deployed an LLM-powered Q&A and summarization chatbot and scalable Delta Lake pipelines, reducing information retrieval time by 40% and improving document retrieval relevance by ~35%.

LLM Python Streamlit Databricks Delta Lake ChromaDB Embeddings RAG Tableau

Analytics Engineer

Accenture

Jan 2020 - Aug 2022 (2 years 7 months)

Built end-to-end AWS S3→Glue→Snowflake pipelines processing 2M+ daily records, reducing latency from 24 hours to under 15 minutes and improving query performance by 70% while enforcing HIPAA-compliant security.

AWS Glue Snowflake ETL Pyspark Snowpipe Data Modeling Power BI Data Security

Education

Degrees, certifications, and relevant coursework

Syracuse University

Master of Science, Information Systems / Data Science

2022 - 2024

Completed a Master of Science in Information Systems with an advanced certificate in Data Science, focusing on data engineering and machine learning pipelines.