Sean Patel

Senior Data Engineer

Open to offers · Member since 14 Sep 2026

Message

Location: Darien, United States

Desired salary: Unspecified

Work preference: Remote Only

Experience level: Senior

About

Professional summary

I am a Senior Data Engineer with over 12 years of experience designing scalable data pipelines, cloud data platforms, and secure data transformation solutions. I specialize in building reliable architectures that improve processing efficiency and enable data-driven decision-making.

I have extensive experience working with healthcare and financial data, including highly regulated environments requiring HIPAA compliance, data governance, patient data security, and privacy controls. I design interoperable data solutions using standards such as FHIR to improve access to trusted information across organizations.

I work with AWS, Databricks, Apache Spark, Python, SQL, Java, Scala, and R to develop and optimize ETL pipelines, data models, and real-time analytics workflows. My work has improved processing efficiency, reduced pipeline failures, and lowered infrastructure costs.

I also create reporting and visualization solutions using tools such as Tableau, Looker, and Sigma. I translate complex technical and business requirements into actionable data models, dashboards, and analytics capabilities for stakeholders.

I am a collaborative technical leader who has led cross-functional data integration initiatives, mentored junior engineers, and supported strategic planning. I am committed to building innovative, secure, and maintainable data products that create measurable business value.

Tech stack & tools

Working toolkit

Experience

Career history

Senior Data Engineer AWS

Jan 2021 – Present

Led the development of scalable data pipelines using AWS Data Pipeline and AWS Glue, improving data processing efficiency by 45%. Architected a cloud-based data platform that integrated and normalized data from multiple sources using FHIR standards to improve healthcare interoperability.

Implemented HIPAA-compliant secure data transformation protocols, increasing data trustworthiness by 30%. Designed modular frameworks for real-time hospital reporting updates, reduced pipeline failures by 20%, and partnered with cross-functional teams to deliver data models and predictive analytics capabilities.

Senior Data Engineer Stripe

Sep 2017 – Dec 2020

Developed and optimized ETL pipelines using Apache Spark, increasing data processing speed by 50%. Led data integration initiatives that normalized complex financial datasets across applications while maintaining data integrity.

Implemented data governance frameworks to protect sensitive financial information and comply with data privacy requirements. Pioneered an automated anomaly detection system that improved transactional analytics accuracy by 35%, optimized storage costs by 15%, and mentored junior data engineers.

Data Engineer CVS Health

Feb 2014 – Aug 2017

Engineered data pipelines for pharmacy benefits management, improving data throughput by 40%. Supported data modernization initiatives by migrating legacy systems to modern architectures using Databricks and creating high-performance data aggregations for pharmaceutical analytics.

Built Tableau visualizations that enabled real-time operational decision-making. Implemented HIPAA-compliant data access controls that increased data security by 25%, delivered data-driven customer service improvements, and led cross-departmental data integration efforts.