Open to opportunities

M Asher

@masher

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Senior Data Engineer specializing in cloud-native, scalable, secure data platforms.

United States

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What I'm looking for

I seek senior engineering roles building and leading cloud-native data platforms, emphasizing reliability, governance, and scalable analytics/ML enablement.

I am a Senior Data Engineer with over a decade of experience designing and operating cloud-native data platforms across healthcare, fintech, and SaaS domains.

I have deep hands-on expertise building ELT/ETL pipelines, real-time streaming systems and lakehouse architectures using Snowflake, Databricks, Kafka, Spark, Flink, dbt and Airflow on AWS, Azure and GCP.

I drive platform reliability, cost optimization, governance and security — delivering HIPAA-compliant healthcare platforms, high-volume financial pipelines, and analytics-ready data warehouses while mentoring engineering teams.

My work has improved pipeline uptime, reduced cloud costs, accelerated ML delivery, and led enterprise-wide adoption of data contracts, governance and modern data architectures.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Arcadia

Apr 2023 - Present (2 years 9 months)

Led design and ownership of HIPAA-compliant healthcare data platforms, architecting cloud-native ELT pipelines with Snowflake, Databricks and Airflow to improve data quality and reduce query latency while enforcing governance and security standards.

Snowflake Databricks Airflow Python Pyspark ELT Data Governance HIPAA Cloud Optimization

Data Engineer

InsurTech

Nov 2017 - Mar 2023 (5 years 4 months)

Designed and built high-volume real-time financial pipelines using Kafka, Spark and Airflow to support fraud detection and risk scoring, implementing data quality, reconciliation and secure handling for auditability.

Kafka Spark Airflow Data Quality Encryption Monitoring

Data Warehouse Engineer

Coupa

Feb 2014 - Oct 2017 (3 years 8 months)

Designed and developed cloud-based data warehouses using Snowflake and Redshift, building scalable ELT pipelines and dimensional models to support multi-tenant SaaS analytics and executive reporting.