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Walker Lee Joshua

@walkerleejoshua

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Senior Machine Learning and Full Stack Engineer delivering scalable, data-driven analytics solutions.

United States

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What I'm looking for

I seek roles building scalable, cloud-native data and ML systems where I can lead analytics architecture, improve data quality, and deliver measurable business impact in cross-functional teams.

I am a Senior Machine Learning and Full Stack Engineer with 8+ years delivering end-to-end, data-driven analytics applications across healthcare and enterprise domains. I design scalable cloud-native architectures, build modular services, and deploy reliable CI/CD pipelines using Python, PySpark, and AWS.

I have led development of high-throughput data pipelines and customer-facing APIs, processed large operational datasets (9TB+/day), and implemented data quality monitoring and anomaly detection to prevent business impact. My work spans batch, streaming, and event-driven architectures with experience in Kafka, Databricks, and AWS-native services.

I collaborate closely with cross-functional teams and stakeholders to translate complex requirements into actionable insights, prioritize compliance and auditability in regulated environments, and continuously optimize performance through profiling, tuning, and disciplined SDLC practices.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning / Data Engineer

Current

Waste Management

Sep 2023 - Present (2 years 5 months)

Designed and delivered end-to-end analytics and data applications using Python, FastAPI, AWS Lambda, and DynamoDB, implementing data quality monitoring and CI/CD to improve release reliability. Architected modular services integrating structured and unstructured data to support financial analytics and operational reporting.

Python fastAPI AWS Lambda DynamoDB S3 Step Functions Data Quality CI CD ETL

Full Stack / Data & Analytics Engineer

American Airlines

Jun 2021 - Dec 2023 (2 years 6 months)

Developed enterprise analytics pipelines processing 9TB+ daily with PySpark and Databricks, built APIs exposing KPIs and forecasts, and integrated Kafka streaming to support real-time operational dashboards. Optimized Spark jobs for performance and supported CI/CD and production monitoring to meet SLAs.

Pyspark Databricks Kafka Python REST APIs Performance Tuning Spark Optimization CI CD Monitoring

Machine Learning / Analytics Engineer

Vironix Health

Jan 2018 - May 2021 (3 years 4 months)

Designed healthcare analytics platforms using Python, Spark, and SQL to analyze EHR and clinical datasets, built predictive models for patient risk detection, and implemented data validation and anomaly detection to ensure pipeline quality. Integrated analytics into clinical workflows via secure cloud APIs.

Python Apache Spark SQL EHR Predictive Analytics Data Validation Healthcare Analytics & Compliance

Full Stack / Data Systems Engineer

NVIDIA

Jan 2015 - Dec 2017 (2 years 11 months)

Built high-performance distributed data processing and inference systems using Python and C++, optimized GPU-accelerated pipelines and backend services, and supported automated build, test, and deployment pipelines for production environments.

Python C++GPU Acceleration Distributed Systems Performance Profiling Backend Services CI CD Linux

Data Engineering / Analytics Intern

Yahoo

Jun 2014 - Oct 2014 (4 months)

Developed analytics and recommendation pipelines processing large-scale user interaction data using Python, SQL, Hadoop, and Hive, and built ETL workflows to support BI and model retraining for feature engineering insights.

Python SQL Hadoop Hive ETL Data Pipelines Analytics

Education

Degrees, certifications, and relevant coursework

The University of Texas at Arlington

Master of Science, Mathematics and Computer Science

2013 - 2015

Completed a Master of Science combining mathematics and computer science with coursework and projects focused on advanced algorithms and computational methods.