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Farooq Alee

@farooqalee1

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Senior Data Engineer and Solutions Architect focused on scalable, reliable data platforms.

United States

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What I'm looking for

I seek senior roles building scalable, multi-cloud data platforms where I can lead architecture, mentor teams, and improve data quality and observability.

I am a senior data engineer and data solutions architect with over seven years of experience building and scaling robust data systems across startups and large enterprises. I design and implement end-to-end data pipelines, lead cloud migrations, and ensure data is accurate, timely, and actionable for analytics and product teams.

Technically, I have hands-on experience with Spark, Kafka, Airflow, dbt, Snowflake, and cloud platforms (AWS, GCP, Azure), and I build both streaming and batch pipelines using Python, SQL, and Scala. I champion clean code, strong data quality (Great Expectations, Deequ), observability (Prometheus, Grafana, Datadog), and infrastructure as code (Terraform, Helm) for reliable, maintainable systems.

In leadership roles I’ve architected multi-cloud data platforms, productionized ML workflows, implemented governance and lineage, and mentored engineering teams to deliver resilient, cost-effective solutions that scale with business needs.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Gold Coast Health Plan

Jul 2022 - Present (3 years 8 months)

Led architecture and deployment of end-to-end data platforms across AWS, GCP, and Azure, enabling streaming and batch pipelines that delivered sub-second analytics and improved operational visibility. Implemented IaC, observability, and governance practices while mentoring teams to deliver resilient, cost-effective data solutions.

Apache Airflow DBT Apache Kafka AWS Glue Terraform Kubernetes Prometheus Snowflake

Senior Data Engineer

Analytics8

Jan 2020 - Jun 2022 (2 years 5 months)

Architected and maintained scalable ETL pipelines and led migration of legacy systems to AWS, improving performance and reducing operational overhead while enabling faster analytics via Redshift and Snowflake. Integrated real-time streaming with Kafka and automated deployments using CI/CD and Terraform.

Airflow AWS Glue Kafka Python Spark Redshift Snowflake GitHub Actions Terraform

Data Engineer

Etleap

Apr 2018 - Dec 2019 (1 year 8 months)

Built and maintained ETL pipelines using Python, SQL, Airflow, and AWS services to centralize and clean data for analytics, improving data quality and reliability in a fast-paced startup environment. Contributed to pipeline monitoring, failure remediation, and documentation.

Python SQL Apache Airflow AWS S3 Redshift ETL Data Quality AWS Glue