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Ehsan Farooq

@ehsanfarooq

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Lead Data Engineer and Architect driving scalable cloud data platforms.

United States

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What I'm looking for

I seek senior data-engineering roles building scalable cloud-first data platforms with strong governance, CI/CD, mentorship, and impact on business insights.

I am a results-driven data engineer and data architect with over a decade of experience designing, building, and optimizing modern data ecosystems across cloud and on-prem environments. I specialize in building data pipelines, data lakes, warehouses, and analytics platforms using AWS, GCP, Azure, Spark, Kafka, and modern orchestration tools to power decision-making and business growth.

I have led migrations to cloud-native solutions, implemented data governance and CI/CD for data workflows, and mentored engineering teams to improve scalability and operational excellence. My work has reduced costs, improved time-to-insight, and delivered real-time visibility through streaming architectures and automated data quality frameworks.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Jan 2021 - Present (5 years)

Designed and implemented end-to-end data pipelines and lake architecture on AWS and Databricks, migrated legacy ETL to cloud-native Airflow/PySpark, and delivered real-time streaming solutions that improved operational visibility and reduced costs.

AWS Glue Redshift S3 Databricks Pyspark Airflow Kafka Kinesis CI CD Terraform

Data Engineer / Data Architect

Abacus Insights

Feb 2017 - Dec 2020 (3 years 10 months)

Architected and deployed cloud data warehouse solutions on Snowflake and BigQuery, led migrations to GCP, built ETL frameworks and data lineage/metadata management to accelerate analytics and compliance.

Power BI Snowflake BigQuery Google Cloud Platform Python SQL Apache Beam ETL Data Lineage Looker

Big Data Engineer

Rubrik

Mar 2014 - Jan 2017 (2 years 10 months)

Built large-scale Hadoop/Spark processing pipelines handling billions of records daily, deployed streaming analytics with Kafka and Spark Streaming, and implemented partitioning and data quality strategies to improve query performance and reliability.

Hadoop Spark Hive Kafka Partitioning Data Quality Monitoring

Data Analyst / ETL Developer

Arkatechture

Aug 2010 - Feb 2014 (3 years 6 months)

Designed and developed ETL processes with Informatica and SSIS, created dimensional models and enterprise reports, and automated data profiling and cleansing to improve data quality for finance and operations teams.