Sean PatelSP
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Sean Patel

@seanpatel

Senior Data Engineer with expertise in real-time data pipelines.

United States
Message

What I'm looking for

I am looking for a role that fosters innovation and offers opportunities for professional growth in data engineering and analytics.

I am a Senior Data Engineer with extensive experience in architecting and maintaining real-time data pipelines. At Amazon Web Services (AWS), I have successfully automated data ingestion from over 15 sources and implemented robust data quality checks using Great Expectations and Pytest. My work has significantly reduced end-to-end pipeline latency by 75% through the migration from batch to streaming architecture, enhancing operational analytics and product telemetry.

Previously, at Stripe, I designed and scaled the internal financial reporting pipeline, processing billions of transactions daily. My collaboration with the machine learning team resulted in a model-serving feature store that accelerated the deployment of fraud and underwriting models. I also established data governance practices that improved data integrity and reduced storage costs by 40% through effective partitioning and archiving strategies.

My journey began at CVS Health, where I developed ETL pipelines to unify patient records and built KPI dashboards that enabled clinical teams to track medication adherence. I am passionate about mentoring junior engineers and continuously improving data processes to drive business value.

Experience

Work history, roles, and key accomplishments

A(
Current

Senior Data Engineer

Amazon Web Services (AWS)

Jan 2021 - Present (4 years 6 months)

Architected and maintained real-time data pipelines using Kinesis, Glue, and Redshift to support product telemetry and operational analytics for AWS services. Automated data ingestion from 15+ sources and implemented robust data quality checks using Great Expectations and Pytest.

ST

Senior Data Engineer

Stripe

Sep 2017 - Dec 2020 (3 years 3 months)

Designed and scaled Stripe's internal financial reporting pipeline using Snowflake, Airflow, and S3, processing billions of transactions daily. Developed core Python data services to calculate key revenue metrics (MRR, ARR, churn), used by FP&A and exec teams.

Education

Degrees, certifications, and relevant coursework

University of Illinois Urbana-Champaign logoUU

University of Illinois Urbana-Champaign

Master's Degree of Computer Science, Computer Science

Completed a Master's degree in Computer Science. Focused on advanced topics in the field.

Tech stack

Software and tools used professionally

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