Open to opportunities

Raza Ash

@razaash

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Senior Data Engineer specializing in cloud-native, scalable data platforms for healthcare and enterprise.

United States

Message

What I'm looking for

I seek senior technical roles building cloud-native data platforms that emphasize scalability, observability, compliance, and cross-functional impact.

I am a Senior Data Engineer and Data Architect with 10+ years designing, building, and optimizing cloud-native, scalable, and secure data ecosystems across healthcare, SaaS, and enterprise platforms. I specialize in real-time data pipelines, advanced analytics, ML/AI-driven workflows, and compliance-first architectures (HIPAA, SOC2, GDPR) that reduce costs and accelerate business growth.

I have led cloud migrations and platform modernizations across AWS, Azure, and GCP, implemented observability and governance frameworks, and delivered reusable, automated frameworks that improved delivery speed and reduced onboarding time. I partner with executives, product, engineering, and compliance teams to align data strategy with business outcomes and future-proof architectures for AI/ML and IoT at scale.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Architect

Current

DataBridge Solutions

Jan 2022 - Present (3 years 8 months)

Designed and scaled enterprise data platforms across AWS, Azure, and GCP to support analytics and real-time decision-making, reducing infrastructure costs by 30–40% and implementing HIPAA/SOC2/GDPR-compliant architectures.

AWS Azure GCP)Data Governance Databricks Snowflake Kafka Prometheus Infrastructure as Code

Data Platform Architect

Enigma Technologies

Oct 2019 - Nov 2021 (2 years 1 month)

Architected lakehouse and warehouse ecosystems using Snowflake, Databricks, Redshift, and BigQuery; built real-time ingestion pipelines and observability layers that reduced troubleshooting time by 40%.

Snowflake Databricks Redshift BigQuery Kafka Flink Spark Debezium Data Lineage

AI/ML Data Engineer

NextGen BI Consulting

Feb 2017 - Oct 2019 (2 years 8 months)

Built and deployed real-time and batch ML pipelines on AWS, GCP, and Azure, automating feature engineering and model deployment to cut deployment cycles from months to weeks and improve risk scoring and forecasting.

AWS Sagemaker Vertex AI Kubeflow MLFlow CI CD Model Monitoring Python MLOps

Junior Data Engineer

TechNova Analytics

Dec 2014 - Dec 2016 (2 years)

Built Python pipelines and orchestrated Airflow DAGs for marketing analytics, maintained Redshift warehouses, and created metadata-driven ingestion templates to reduce onboarding time for new clients.