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@briayasir
Data Engineering Specialist with 10+ yrs in cloud, ETL, and lakehouse architectures across healthcare, finance, and enterprise.
I am a Data Engineering Specialist with over a decade of experience designing and leading large-scale data platforms across healthcare, life sciences, finance, and enterprise domains. My expertise spans cloud-native ecosystems (AWS, Azure, GCP), modern lakehouse architectures (Databricks Delta Lake, Snowflake), and end-to-end ETL/ELT pipeline design, enabling advanced analytics and machine learning.
I have successfully architected HIPAA-compliant healthcare lakehouses, delivered predictive patient analytics, and modernized financial fraud detection pipelines using Spark, Kafka, and real-time streaming frameworks. My strengths include building governed, scalable, and ML-ready datasets, driving automation through CI/CD and infrastructure-as-code, and optimizing compute/storage to reduce costs by over 35%.
Beyond technical delivery, I thrive in leadership roles mentoring engineers, shaping architecture roadmaps, and aligning data strategies with business goals. I am particularly passionate about applying data engineering to healthcare and oncology, where I can directly contribute to improved patient outcomes and early disease detection.
Outside of work, I actively explore emerging technologies like vector databases, MLOps frameworks, and data mesh strategies to stay ahead of industry trends. My career focus remains on transforming complex data ecosystems into simplified, future-ready solutions that empower innovation and decision-making.
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Work history, roles, and key accomplishments
Contour Software
Mar 2022 - Present (3 years 8 months)
Architected multi-cloud lakehouse integrating Delta Lake with Snowflake and operationalized dbt and Airflow across 100+ production pipelines while enforcing Apache Atlas governance for HIPAA compliance. Optimized compute and tiered storage to reduce costs by over 35% and mentored a team of 8 engineers to deliver ML-ready datasets and predictive healthcare insights.
VentureDive
Aug 2018 - Feb 2022 (3 years 6 months)
Transitioned legacy ETL into Azure Data Factory pipelines and engineered ADLS Gen2 and Databricks Delta Lake Bronze-Silver-Gold layers to deliver governed, reusable datasets. Automated deployments with Terraform and Azure DevOps, integrated Snowflake to reduce query latency by 55%, and implemented Great Expectations for schema drift detection.
NorthBay Solutions
Jan 2016 - Jul 2018 (2 years 6 months)
Built scalable batch pipelines with Apache Spark and Hive and implemented Kafka-based real-time ingestion for patient monitoring streams, consolidating EHR and claims into a centralized Hadoop platform. Optimized jobs to improve runtimes by 45% and produced time-series datasets that enabled predictive readmission models.
CodeNinja
Jul 2014 - Dec 2015 (1 year 5 months)
Automated ingestion pipelines using Talend, SQL Server, and Python to consolidate patient data, standardize clinical models, and design dimensional datamarts for executive KPIs. Reduced manual refresh effort by 60%, implemented automated validations, and improved downstream analytics reliability.
Degrees, certifications, and relevant coursework
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