Open to opportunities

MIRZA ASHER

@mirzaasher

Message

Principle Data Engineer and Cloud-focused Data Solutions Architect driving scalable analytics.

United States

Message

What I'm looking for

I seek a senior/lead role building scalable cloud data platforms and Lakehouse architectures, with strong MLOps, real-time processing, and compliance focus; collaborative, outcomes-driven teams that value automation and measurable business impact.

I am a solutions-oriented Data Solutions Architect and Principal Data Engineer with over 11 years of experience designing and optimizing ETL/ELT pipelines, data warehouses, and real-time streaming platforms across cloud environments (AWS, Azure, GCP). I specialize in Databricks, Delta Lake, Spark, Kafka, and modern data governance to deliver scalable, compliant solutions for financial and healthcare domains.

I have architected and operationalized Lakehouse environments, built Snowflake-based warehouses, and implemented low-latency streaming analytics that improved forecasting and supply-chain visibility. I lead adoption of multi-cloud strategies, containerized deployments (Docker, Kubernetes), and MLOps practices to integrate machine learning into production data pipelines.

I focus on delivering measurable business impact—reducing stockouts, improving pipeline reliability, and ensuring compliance with HIPAA and GDPR—while mentoring teams and driving cross-functional collaboration to turn data into actionable insights.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Firebolt

Dec 2021 - Present (4 years)

Architected and operationalized a Databricks Lakehouse with Delta Lake and MLflow, enabling unified batch-and-stream processing and improving pipeline reliability and analytics efficiency; developed predictive models that reduced stockouts by 20%.

Databricks Delta Lake Pyspark MLFlow Apache Kafka Snowflake Apache NiFi Talend

Senior Data Solutions Architect

Confluent

Feb 2017 - Nov 2021 (4 years 9 months)

Designed and implemented enterprise data architectures and a real-time streaming analytics platform using Apache Flink and Kafka, improving low-latency processing and enabling instant insights across applications.

Apache Kafka Apache Flink Docker Kubernetes AWS GCP Data Security Machine Learning Integration

Cloud & ETL Specialist

Viral Square

Jun 2014 - Jan 2017 (2 years 7 months)

Designed and implemented high-performance ETL pipelines and optimized cloud architectures using AWS Lambda, EC2, S3, and Azure Data Lake to improve availability and cost-efficiency for data processing workloads.

ETL AWS Lambda AWS S3 Data Lake RESTful APIs AWS Sagemaker