Farooq User
@farooquser
Principal Data Engineer building secure, scalable cloud data platforms for healthcare and enterprise.
What I'm looking for
I am a Principal Data Engineer with over 10 years designing, building, and owning large-scale data platforms across healthcare and enterprise environments. I specialize in cloud and hybrid architectures using Databricks, Apache Spark, Python, SQL, and modern data warehousing technologies.
I have led the development of reliable, secure, and compliant data integration and ETL/ELT solutions, optimized high-volume batch and streaming pipelines, and implemented CI/CD to improve release velocity and production reliability. I partner closely with analytics, clinical, and compliance teams to deliver trusted data platforms used organization-wide.
I mentor and guide engineering teams, establish engineering standards and data governance practices, and drive operational efficiency through automation, monitoring, and performance tuning. My work emphasizes data security, quality, and scalable architecture design.
Experience
Work history, roles, and key accomplishments
Principal Data Engineer
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, optimizing pipelines that process millions of healthcare records and improving release velocity with CI/CD automation.
Staff Data Engineer
MacRepairSF
Mar 2018 - Mar 2021 (3 years)
Designed and maintained high-performance ETL/ELT pipelines integrating relational and NoSQL sources, APIs, and cloud storage in Azure, improving pipeline reliability, scalability, and analytics readiness.
Senior Data Engineer
Wiztec
Nov 2016 - Feb 2018 (1 year 3 months)
Built and maintained enterprise-scale data pipelines with Python, SQL, Spark, and Databricks, improving data extraction, transformation, and delivery for analytics and production workloads.
Data Engineer
SoftwareKC
Jan 2014 - Oct 2016 (2 years 9 months)
Assisted in building and maintaining ETL pipelines using Python and SQL, performing data validation, cleansing, reconciliation, and operational monitoring to support enterprise analytics.
Education
Degrees, certifications, and relevant coursework
Unknown Institution
Bachelor of Science, Computer Science
Bachelor of Science in Computer Science completed; focused on foundational computer science and software engineering principles.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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