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Muhammad Mohsin

@muhammadmohsin4

Senior Data Engineer and Cloud Data Architect building secure, real-time multi-cloud data lakehouses for analytics and ML.

United States

Message

What I'm looking for

I’m looking for a role where I can architect secure multi-cloud data lakehouse and streaming platforms, strengthen governance/observability, and mentor engineers—while integrating ML-ready pipelines that deliver measurable analytics and compliance outcomes.

I’m a Senior Data Engineer with 10+ years of experience designing and leading enterprise-scale multi-cloud data platforms across healthcare, fintech, retail, and SaaS. I specialize in Databricks and Snowflake lakehouse patterns, distributed processing, and building ML-ready datasets with strong data governance.

I’ve architected secure, scalable ETL/ELT and streaming systems that process millions of events daily, improving reliability, security, and compliance (HIPAA, GDPR). At Curana Health, I modernized legacy healthcare pipelines using a Medallion Data Lakehouse, integrated Salesforce Health Cloud, and reduced data availability lag from hours to minutes.

I also bring engineering leadership and DataOps rigor—mentoring teams, improving observability with Unity Catalog/OpenMetadata-style practices, and lowering cloud costs through workload tuning and efficient resource utilization. From fintech real-time risk/KPI platforms to end-to-end ML data pipelines, I turn complex business requirements into actionable, data-driven outcomes.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Curana Health

Dec 2022 - Present (3 years 6 months)

Architected a multi-cloud Databricks Lakehouse (Medallion) to modernize fragmented healthcare data systems, enabling unified analytics and ML workflows; reduced data availability lag from hours to minutes. Built secure Salesforce Health Cloud-to-EHR/claims pipelines and real-time billing anomaly monitoring, processing millions of records daily and cutting cloud costs by 30%.

Kafka Flink CDC Airflow DBT

Data Engineer Team Lead

Glorium Technologies

Apr 2018 - Nov 2022 (4 years 7 months)

Led development of a client-facing fintech platform by building automated multi-cloud data pipelines, enabling real-time analytics and improved operational efficiency. Optimized AWS/Azure/GCP costs, implemented CI/CD for ETL/ELT and ML workflows, and designed fault-tolerant streaming architectures (Kafka/Kinesis/Flink), while establishing observability and mentoring a 5+ person team.

Databricks Snowflake Kafka AWS Kinesis Flink DBT Airflow Observability

Data Engineer | ETL Developer

Softweb Solutions

Nov 2015 - Mar 2018 (2 years 4 months)

Built batch ETL pipelines in Python and SQL to consolidate multi-source financial data into SQL Server/MySQL, improving reporting turnaround and operational transparency. Developed incremental load frameworks that reduced ETL runtime by 40% and optimized transformations/queries to cut processing time by 30%, supported by data validation/monitoring and dimensional modeling for Tableau/Power BI.

Python SQL Server MySQL ETL Data Validation Tableau Power BI