Open to opportunities

Alay Bangash

@alaybangash

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Senior Data Engineer building scalable, compliant cloud data platforms.

United States

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What I'm looking for

I seek Senior Data Engineering roles focused on cloud-native, scalable data platforms where I can drive ETL/ELT, data governance, and real-time processing to enable analytics and ML in regulated industries.

I am a Senior Data Engineer with eight years designing and delivering scalable, cost-efficient data systems across healthcare and fintech. I specialize in building ETL/ELT pipelines, data warehouses, and lakehouse architectures to enable analytics and AI/ML initiatives.

At Anveta I led cloud-native solutions on AWS and GCP, architecting real-time processing and automated data quality monitoring to ensure HIPAA-compliant, reliable availability of clinical and operational data. My work improved accessibility and reduced infrastructure costs.

Previously I migrated legacy financial systems to cloud platforms, implemented resilient streaming and batch pipelines with Kafka and Spark, and automated infrastructure with Terraform to optimize performance and reduce downtime.

I bring strong expertise in data governance, security, and tooling — including Spark, Airflow, Redshift, BigQuery, and containerized CI/CD — and I partner closely with cross-functional teams to turn complex data into actionable insights.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Anveta

Jun 2022 - Present (3 years 3 months)

Led design and implementation of scalable ETL pipelines and cloud-native data solutions, improving clinical data accessibility and enabling near-real-time availability for healthcare analytics while ensuring HIPAA compliance.

AWS S3 Lambda Redshift Python ETL Data Warehousing Apache Spark Apache Airflow Data Governance Docker

Senior Data Engineer

TDWI

Nov 2019 - Jun 2022 (2 years 7 months)

Built and optimized high-volume data pipelines and led legacy-to-cloud migrations to AWS/Azure, reducing operational costs and improving system performance for financial data processing.

Python SQL Apache Spark Redshift S3 Azure Data Factory Synapse Apache Kafka Airflow Terraform

Data Engineer

Skytap

Jan 2017 - Nov 2019 (2 years 10 months)

Developed and optimized ETL pipelines and Redshift data warehouses, integrated real-time streaming with Kafka, and automated workflows to reduce latency for financial reporting and risk management.