Open to opportunities

Bria Yasir

@briayasir

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Seasoned Data Engineering Lead specializing in scalable analytics solutions.

United States

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What I'm looking for

I am seeking a role that fosters innovation and offers opportunities for growth in data engineering.

I am a seasoned Data Engineering Professional with over 10 years of experience in building reliable, scalable, and cloud-native data solutions across diverse industries. My expertise lies in designing end-to-end ETL pipelines, real-time streaming systems, and lakehouse architectures using tools like Python, SQL, Spark, Kafka, Snowflake, and Databricks. I have a proven track record of supporting analytics, BI, and machine learning use cases with a strong focus on data quality, performance, and compliance.

In my current role as a Data Engineer Lead at Contour Software, I lead the architecture and delivery of multi-cloud data platforms for enterprise healthcare clients. I have successfully designed and implemented a full-scale Lakehouse architecture that combines Databricks and Snowflake, significantly improving system efficiency and reducing costs. I am passionate about mentoring teams and fostering a culture of innovation and excellence in data engineering.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer Lead

Current

Contour Software

Mar 2022 - Present (3 years 4 months)

Led the architecture and delivery of multi-cloud data platforms for enterprise healthcare clients using Azure, GCP, and Databricks. Spearheaded the rollout of dbt for transformation logic management and Apache Airflow for orchestrating 100+ data pipelines across environments.

Azure GCP Databricks Delta Lake Snowflake DBT Apache Airflow

Cloud Data Engineer

VentureDive

Aug 2018 - Feb 2022 (3 years 6 months)

Migrated on-premise legacy ETL processes to Azure Data Factory, enabling event-driven data flows and dynamic scaling. Architected a robust data lake using Azure Data Lake Storage Gen2 and Databricks, supporting both batch and near real-time use cases.

Azure Data Factory Databricks Delta Lake Azure DevOps Terraform Pytest Snowflake Great Expectations

Big Data Specialist

NorthBay Solutions

Jan 2016 - Jul 2018 (2 years 6 months)

Engineered high-volume batch processing pipelines using Apache Spark (PySpark) and Hive to process structured and unstructured healthcare data. Implemented Kafka-based real-time ingestion for medical sensor streams and patient monitoring systems, enabling 24/7 alert analytics.

Apache Spark Pyspark Hive Kafka Hadoop

Data Engineer

CodeNinja

Jul 2014 - Dec 2015 (1 year 5 months)

Designed and built automated ETL pipelines for ingesting healthcare data from multiple hospital systems using Talend, SQL Server, and Python. Created robust job schedules using cron and Talend scheduler, reducing manual data refresh efforts by 60%.