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asif shah

@asifshah

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Principal Data Engineer specializing in cloud-scale ETL, Spark, and data platform reliability.

United States

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What I'm looking for

I am seeking a senior/lead data engineering role where I can architect cloud-scale data platforms, mentor teams, drive data governance, and deliver reliable, compliant pipelines supporting analytics and clinical stakeholders.

I am a Principal Data Engineer with over 10 years of experience designing, building, and owning large-scale data platforms for healthcare and enterprise environments. I specialize in cloud and hybrid architectures using Databricks, Apache Spark, Python, SQL, and Snowflake to support high-volume batch and streaming workloads.

I focus on building reliable, secure, and compliant data systems, setting engineering standards, and mentoring data engineering teams. I have led data architecture and solution design efforts, established best practices for ETL/ELT, data modeling, query optimization, and automated CI/CD pipelines to improve release velocity and production reliability.

My achievements include optimizing pipelines that process millions of records, implementing data quality monitoring and governance, and partnering with analytics, clinical, and compliance teams to deliver trusted data platforms used across organizations.

Experience

Work history, roles, and key accomplishments

Current

Principal Data Engineer

Current

Stanford Health Care

Apr 2021 - Present (4 years 10 months)

Architected and led enterprise-scale data platforms using Databricks, Spark, Python, SQL, Snowflake, and Azure, improving pipeline performance and reliability for high-volume healthcare datasets and enforcing data governance and compliance.

Databricks Apache Spark Python SQL Snowflake Azure Data Governance

Staff Data Engineer

Mac Repair SF

Mar 2018 - Mar 2021 (3 years)

Designed and maintained high-performance ETL/ELT pipelines in Azure integrating RDBMS, NoSQL, APIs and cloud storage, improving pipeline reliability, scalability, and analytics readiness.

Azure ETL Python SQL Data Modeling CI CD Performance Optimization

Senior Data Engineer

Wiztec

Nov 2016 - Feb 2018 (1 year 3 months)

Built and maintained ETL pipelines with Python, SQL, Spark and Databricks for enterprise data integration, improving data quality and pipeline scalability across multiple source systems.

Python SQL Apache Spark Databricks ETL Data Integration CI CD Monitoring

Data Engineer

Software KC

Jan 2014 - Oct 2016 (2 years 9 months)

Supported development and maintenance of ETL pipelines using Python and SQL, performing data extraction, validation, cleansing and quality checks to enable reliable analytics and reporting.