• Created and implemented all AWS solution architecture for the Evernorth Behavioural Health (EBH) initiative.• Utilized project management strategies and interdepartmental communication to meet EBH project deadlines.• Facilitated legal and corporate compliance agreements regarding data retention rules of EBH data.• Handled all cloud cyber security compliance, networking, and firewall configurations for the EBH solution.• Built AWS Glue ETL pipelines using Python and Pyspark jobs, creating a cost effective, horizontally scaled, and resilient solution to ingest behavioural health data across different corporate data domains and infrastructure.• Wrote all KMS encryption key policies to ensure EBH solution conformed to HIPAA and SOC2 data standards.• Configured all AWS Identity Access Management service roles and support account permissions for the EBH solution.• Implemented S3 bucket data lifecycle and encryption rules and policies.• Wrote Terraform process to automatically provision, modify, tear down, and deploy AWS services, resources and configurations in multiple environments and accounts via Jenkins pipelines.• Added new Sentinel outreach domain type to add a new source of prescription savings metrics in Teradata reporting systems.• Created a Python data de-identification and replication pipeline to procure production quality data for lower environments for testing and development work.• Improved Medicare Member Activity reporting design and codebase for pharmacists to permanently handle invalid upstream patient opportunity source data, eliminating incident tickets from business users.• Executed statistical analysis on DOD pharmaceutical claim Teradata reporting process to ensure pristine outreach and opportunity clinical program savings metrics for clients.

Led a team of developers and management to optimize existing analytical workloads in Teradata systems for publishing sector reports.Initiated migration of on-prem databases to AWS, reducing hardware managed costs by 35%.Developed automated Python data validation process to ensure data integrity against existing source data.

Architected feature engineering platform which leveraged the power of distributed computing in both enterprise Hadoop and Teradata platforms to allow dynamic scalability and extensibility for data science teams. Responsible for custom building and administrating internal Hadoop clusters via Ansible hardware provisioning.Built custom ETL process to move 500m records daily between Teradata and Hadoop to facilitate enhanced data science team model development and deployment.

Application developer for a Teradata feature engineering and regression model scoring platform for clinical data.

Served as TA for Introduction to Databases, teaching students about normalization and SQL