Alex Johnson

Outcome-driven Data Engineer with 10 years of experience designing and delivering large-scale data platforms and ETL solutions. Strong expertise in building reliable cloud-native data pipelines focused on data quality, orchestration, and performance optimization. Skilled in Python, Spark, SQL, AWS, Azure, Snowflake, and leading technical initiatives.

Senior Software Engineer - Kaiser Permanente

(2024-01)

• Architected enterprise data pipelines supporting clinical, operational, and analytics workloads across healthcare platforms.
• Designed reusable ingestion frameworks using Apache Airflow to orchestrate multi-source batch and near real-time data pipelines.
• Improved pipeline reliability and reduced data latency through dependency-based orchestration and workflow optimization.
• Optimized Amazon Redshift and Snowflake data models supporting reporting and self-service analytics initiatives.
• Implemented automated data quality and reconciliation processes to improve trust and consistency across datasets.
• Partnered with analysts, data scientists, and business stakeholders to deliver scalable data solutions aligned with reporting requirements.
• Provided technical leadership and mentored junior engineers on ETL architecture, performance tuning, and engineering best practices.

Data Engineer - Kaiser Permanente

(2022-05 - 2024-01)

• Developed Python and Spark-based ETL pipelines processing large healthcare datasets into AWS S3 and Redshift environments.
• Built dynamic schema validation and transformation frameworks to address schema drift and upstream source changes.
• Implemented automated data quality checks and monitoring to improve accuracy of clinical and operational data assets.
• Integrated Airflow orchestration with cloud storage and analytics platforms to support reliable end-to-end data workflows.
• Collaborated with reporting teams and business users to deliver scalable datasets for enterprise analytics initiatives.

ETL Engineer - Carvana

(2020-12 - 2022-04)

• Built scalable Spark and PySpark pipelines supporting batch and streaming analytics workloads.
• Managed and optimized Snowflake data warehouse environments for financial and operational reporting.
• Improved large-scale pipeline performance through Spark partitioning and query optimization.

System Analyst - Carvana

(2019-11 - 2020-11)

• Developed metadata-driven ETL frameworks and automated data quality controls to maintain data integrity.
• Automated cloud-based ingestion and transformation workflows using S3 and distributed processing frameworks.
• Supported analytics teams with curated datasets enabling business intelligence and operational reporting.

Programming Analyst - Cognizant

(2018-07 - 2019-10)

• Delivered large-scale data migration and transformation solutions for telecom BSS modernization programs.
• Developed SQL-based validation and reconciliation processes to ensure data consistency and migration accuracy.
• Created reusable transformation logic and data mapping specifications for complex source systems.

Test Automation Engineer - Cognizant

(2016-07 - 2018-06)

• Built Python and Selenium automation frameworks supporting enterprise web applications and regression testing.
• Integrated automated test suites into Jenkins CI/CD pipelines to improve release quality and testing efficiency.
• Developed reusable validation utilities and reporting capabilities to increase coverage and reduce manual effort.

Bachelor of Science - Computer Science - Texas Tech University (2012-08 - 2016-05)