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Mohammad Farooq

@mohammadfarooq1

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Principal Data Engineer specializing in scalable data platforms, ETL/ELT, and cloud-native pipeline optimization.

United States

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What I'm looking for

I seek senior-level roles building scalable, secure cloud data platforms with strong CI/CD, monitoring, and cross-functional collaboration, and opportunities to mentor engineers.

I am a Principal Data Engineer with extensive experience designing and operating enterprise-scale data platforms using Databricks, Apache Spark, Python, and SQL. I have led end-to-end data integration architectures, automated CI/CD deployments, and optimized large-scale pipelines processing millions of clinical and transactional records while ensuring compliance and data quality.

I collaborate closely with cross-functional stakeholders to align data solutions with business and regulatory needs, mentor engineering teams, and build robust monitoring, logging, and alerting frameworks. My work emphasizes performance tuning, cost optimization, secure data movement across cloud and hybrid environments, and continuous improvement of data governance practices.

Experience

Work history, roles, and key accomplishments

Current

Principal Data Engineer

Current

Stanford Health Care

Apr 2021 - Present (4 years 9 months)

Architected and led enterprise-scale healthcare data platforms using Databricks, Spark, Python, and SQL to process millions of clinical and operational records, improving scalability and deployment reliability via CI/CD.

Apache Spark Databricks Python SQL ETL CI CD Data Modeling Monitoring Data Governance

Staff Data Engineer

Mac Repair SF

Mar 2018 - Mar 2021 (3 years)

Designed and maintained scalable data pipelines with Python, Spark and Databricks, integrating databases, NoSQL and REST APIs to improve performance, reliability, and cost efficiency in cloud environments.

Python Apache Spark Databricks SQL REST APIs ETL Cloud Optimization Git CI CD

Senior Data Engineer

Wiztec

Nov 2016 - Feb 2018 (1 year 3 months)

Developed and maintained ETL pipelines using Python, SQL and Spark to integrate data from databases, APIs and flat files, improving data availability and supporting cross-functional analytics needs.

Python SQL Apache Spark Databricks ETL Data Integration Monitoring Version Control

Data Engineer

Software KC

Jan 2014 - Oct 2016 (2 years 9 months)

Assisted in building and maintaining data pipelines, performing ETL, data cleansing and reconciliation, and monitoring batch jobs to ensure data accuracy and operational reliability.