Open to opportunities

Malik Yasir

@malikyasir1

Message

Senior Data Solution Architect driving cloud-native analytics and MLOps.

United States

Message

What I'm looking for

I seek senior roles building cloud-native data platforms and lakehouses, driving MLOps and governance, in collaborative, compliance-focused teams that value scalable analytics and measurable business impact.

I am a Senior Data Solution Architect with 9+ years designing and delivering secure, high-performance data platforms across finance, healthcare, and technology sectors.

I specialize in cloud-native architectures (AWS, Azure, GCP), modern lakehouse solutions with Databricks and Snowflake, and optimizing ETL/data pipelines for real-time analytics.

I have led enterprise data governance and compliance initiatives (HIPAA, GDPR, SOC2), productionized ML pipelines using TensorFlow, Scikit-learn and PyTorch, and delivered executive dashboards and self-service analytics for thousands of users.

I mentor data engineers and architects, promote best practices in data modeling, DevOps and MLOps, and drive measurable business impact through scalable, secure data strategies.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Solution Architect

Current

Timescale

Jan 2021 - Present (4 years 8 months)

Architected and deployed cloud-native data platforms across AWS, Azure, and GCP, reducing query latency by 45% and enabling self-service analytics for 1,000+ users while ensuring HIPAA/GDPR/SOC2 compliance.

Databricks Delta Lake Snowflake AWS Azure GCP)Data Governance MLOps Tableau Power BI

Healthcare & Data Analyst

HealthTech Analytics Inc.

Jan 2017 - Jan 2021 (4 years)

Designed and maintained HIPAA-compliant ETL pipelines and data warehouses, developed Tableau and Power BI dashboards, and performed predictive modeling to support clinical decision-making and population health management.

ETL HIPAA Tableau Power BI SQL EHR HL7 FHIR

Data Engineer

Blind Insight

Jan 2015 - Jan 2017 (2 years)

Built enterprise ETL pipelines and cloud data warehouses using Talend, SSIS, and NiFi, implemented data quality frameworks that reduced data errors by 35%, and led large-scale migrations to cloud platforms.