Farooq Alee

I am a seasoned data engineer and solutions architect with 7+ years building end-to-end data platforms that enable timely, accurate business insights. I design and implement scalable streaming and batch pipelines across AWS, GCP, and Azure, prioritizing reliability and maintainability.

My technical strengths include Apache Spark, Kafka, Airflow, dbt, and Snowflake, and I build pipelines using Python, SQL, and Scala. I have led cloud migrations, productionized ML models, and implemented IaC with Terraform and Helm to standardize deployments.

I champion data quality, governance, and observability through tools like Great Expectations, DataHub, Prometheus, and Grafana, ensuring lineage, testing, and monitoring across systems. I work collaboratively with product, analytics, and ML teams to deliver cost-effective solutions.

I also mentor engineering teams and drive operational excellence—focusing on clean code, strong validation, and recovery strategies so platforms scale gracefully as business needs evolve.