Farooq Alee

Owned database architecture across Azure and Microsoft Fabric, including schema design, stored procedures, and enterprise data models for analytics and Power BI reporting. Built and optimized Azure Data Factory ETL/ELT pipelines, delivered gold-layer curated datasets, and implemented governance and data documentation aligned with HIPAA and security requirements.

Led end-to-end development of scalable data pipelines and reusable data models supporting analytics, reporting, and machine learning use cases. Architected curated datasets and semantic layers, integrated diverse data sources, enforced data quality and documentation/lineage standards, and improved production pipeline performance and reliability.

Architected and managed cloud-based data infrastructure for high-volume event and product usage data. Built distributed ingestion frameworks and semantic layers with fault-tolerant workflows and data observability, enabling self-service analytics and supporting AI/ML readiness with structured datasets for experimentation.

Supported an early-stage startup team by designing and implementing ETL pipelines that centralized data for analysis. Wrote and maintained Python/SQL transformations, set up orchestration with Apache Airflow and AWS Glue, and helped diagnose pipeline failures using logs and output validation in S3 and Redshift-based environments.