Abdullah Jutt

I am a Senior Data Engineer with 8+ years designing cloud-native data platforms, enterprise data warehouses, and real-time streaming architectures. I focus on AWS-based modern data stacks including Databricks, Spark, Airflow, Kafka, Snowflake, and Lakehouse implementations.

I have deep experience in healthcare data engineering with HIPAA-aligned systems, dimensional modeling, distributed processing, DataOps automation, and cost-optimized cloud infrastructure. I have led platform modernization efforts, built analytics-ready platforms, and supported BI, reporting, and machine learning needs.

In production roles I have designed and optimized ETL/ELT workflows, implemented data governance, lineage, validation, and PII/HIPAA controls, and tuned performance for large transactional and analytical datasets. I mentor junior engineers and collaborate cross-functionally to deliver reliable, production-ready data solutions.

I value automated, observable, and secure data platforms that enable self-service analytics and event-driven workflows while controlling costs and meeting regulatory requirements. I bring a pragmatic, security-minded approach to building scalable, maintainable data infrastructure.