Open to opportunities

Brandon Davis

@brandondavis2

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Senior Data Engineer specializing in Azure cloud, ETL, and scalable data platform solutions.

United States

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What I'm looking for

I seek a data engineering role focused on cloud-native Azure platforms, end-to-end ETL and streaming, collaborative Agile teams, and opportunities to optimize performance and governance.

I am a Senior Data Engineer with over 10 years in IT, specializing in cloud-based ETL, data warehousing, and big data platforms. I focus on designing and implementing scalable Azure solutions using Synapse, Databricks, Data Factory, and ADLS Gen2.

I have six years of concentrated Azure experience and a strong background in Spark, Kafka, Snowflake, and real-time streaming integrations. My work has included building configurable ingestion frameworks that reduced coding time by 40% and implementing CDC across systems that reduced data inconsistencies by 98%.

In recent roles I designed end-to-end pipelines, optimized Spark and SQL workloads to improve processing performance by up to 60%, and implemented governance and security controls including Unity Catalog and Key Vault. I deliver production-ready solutions covering ingestion, transformation, storage, and visualization with Power BI and Fabric.

I collaborate in Agile teams, automate workflows with Control-M and Airflow, and continuously tune data platforms for cost, performance, and reliability. I aim to drive measurable business value through robust data engineering and operational excellence.

Experience

Work history, roles, and key accomplishments

Current

Azure Data Engineer

Current

Hone Health

Jul 2024 - Present (1 year 7 months)

Designed and implemented end-to-end Azure ETL and Lakehouse solutions using ADF, Databricks, Synapse and Delta Lake, improving processing performance and data governance while enabling real-time ingestion and analytics.

Azure Data Factory Databricks Azure Synapse Delta Lake Pyspark Snowflake Azure Event Hubs Power BI

Azure Data Engineer

DXC Technology

Jan 2021 - Jun 2024 (3 years 5 months)

Designed and implemented complex data integration and migration pipelines in Azure (ADF, Databricks, Synapse) and hybrid Hadoop environments, optimizing ETL performance and enabling scalable analytics across cloud and on-prem systems.

Azure Data Factory Databricks Azure Synapse Kafka Hadoop Pyspark SQL Snowflake

Big Data Engineer

Intuitive

Jan 2018 - Nov 2020 (2 years 10 months)

Built and optimized Hadoop and Spark data processing pipelines (MapReduce, Hive, Spark, Kafka), improving cluster and job performance while enabling near-real-time streaming analytics and ETL automation.

Hadoop Hive MapReduce Spark Pyspark Scala Kafka Oozie HDFS

Data Warehouse Developer

Mercury Insurance

Oct 2014 - Dec 2017 (3 years 2 months)

Designed and maintained SQL Server data warehouses and SSIS/SSRS ETL solutions, developed complex T-SQL scripts and data models to support reporting and migration projects with 24/7 production support.