Experienced Data Engineer with applied expertise in the information technology, IT services, and fintech industries. I specialize in data engineering for AI applications, real-time data pipelines, building robust data solutions and driving innovation.Expert in AWS technologies, including Redshift, Glue, Athena, S3, Kinesis Data Streams and Firehose, Lambda, ECS and Fargate, CloudWatch, RDS, DynamoDB, TimeStream, SNS, SQS, QuickSight, CloudFormation, VPC, Comprehend, and CDK. Proficient in the Azure stack, including Synapse, Data Factory, Databricks, and Data Lake Storage. Skilled in Apache Spark, Apache Hudi, Apache Airflow, Snowflake, Git, Docker, Python, SQL, TypeScript, and Java.I hold both Bachelor's and Master's degrees in Computer Science, and I am currently pursuing a certificate in Software Product Management. My background equips me with a solid foundation to tackle complex data challenges. Committed to continuous learning and staying current with industry trends, I strive to deliver high-quality, scalable data solutions that meet evolving business needs.
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Machine Learning Engineer IiAmazonSeattle, Wa, Us -
Data Engineer IiAmazon Jul 2024 - PresentSeattle, Washington, United States -
Data Engineer IAmazon Sep 2022 - Jun 2024Seattle, Washington, United States -
Data Engineer - Product AnalyticsZafin May 2021 - Sep 2022• Loaded 10M+ rows of data daily from sources (e.g., Postgres, ADLS) into Synapse using Azure Data Factory• Used dbt on Synapse to process tables with up to 100M+ rows to form a star schema, precompute aggregates for dashboards, manage SCDs, and test data integrity• Developed Airflow DAGs to orchestrate the data ingestion, transformation, and validation jobs• Deployed and managed Airflow and Superset on Kubernetes• Designed the cloud architecture to comply with financial institutions’ security standards• Used PySpark DataFrames on Databricks to preprocess large financial datasets for interactive analytics• Assessed Snowflake as an alternative to Synapse for processing and serving large financial data -
Graduate Research Assistant - Database Systems LabSimon Fraser University Aug 2019 - May 2021Explaining ML-embedded SQL Queries:• Developed a framework to explain the results of aggregate SQL queries over ML model predictions• Generated higher quality explanations up to 2 times faster than the state-of-the-art baselinesPython data preparation library (DataPrep https://github.com/sfu-db/dataprep) development:• Led a team of five to develop functions for cleaning, standardizing, and validating semantic data types • Wrote functions for easily performing dataset-level, univariate, bivariate, and multivariate analysis• Optimized data processing algorithms to achieve a 4-20 times speed-up over the state-of-the-art (blog post: https://towardsdatascience.com/exploratory-data-analysis-dataprep-eda-vs-pandas-profiling-7137683fe47f)
Brandon Lockhart Education Details
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Certificate In Software Product Management -
Computer Science -
Computer Science
Frequently Asked Questions about Brandon Lockhart
What company does Brandon Lockhart work for?
Brandon Lockhart works for Amazon
What is Brandon Lockhart's role at the current company?
Brandon Lockhart's current role is Machine Learning Engineer II.
What schools did Brandon Lockhart attend?
Brandon Lockhart attended University Of Washington, Simon Fraser University, University Of Victoria.
Who are Brandon Lockhart's colleagues?
Brandon Lockhart's colleagues are Crystal Morgan, Karthika V S, Martin Pompa, Nagini Sreeramulu, Sunidhi Jain, "♯𓆪فٰۛـۦـلٱטּٰۛ العنـزي𓆩, Will Carver.
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Brandon Lockhart
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