Managed 14 on- and offshore data engineers across four cross-functional scrum teams. These teams were responsible for collecting and onboarding data as well as developing data pipelines to deliver customer-specific insights.• Reduced technology costs 15% by right-sizing customer data warehouses and reducing data duplication.• Identified, planned, and organized upgrades to critical infrastructure including AWS Glue jobs, Apache Airflow, and vulnerable open-source components.• Implemented resource monitoring and alerting for data pipelines and frontend APIs for timely notification of errors and outages.• Performed architectural and technical reviews to ensure development, architecture, and cloud best practices were followed.• Instituted reoccurring lunch-and-learn sessions to reduce information silos across technology and provide training on engineering best practices.• Coached direct reports of varying levels of seniority by using personalized strategies that allowed for both individual and organizational growth.• Mentored new managers on transitioning to people leadership, inspiring confidence, and managing change.• Recognized by project management counterparts for individual and team performance.

Managed two teams of software/data engineers to deliver data analysis tools/pipelines for airline schedules, ticketing, and booking data.• Worked directly with product owners, SMEs, directors, and VPs to build product roadmaps.• Reduced cloud compute spend by 67%• Promoted the adoption of a cloud-native strategy (AWS), resource monitoring, and infrastructure-as-code among the Engineering teams and stakeholders.• Led technology-focused continuous improvement sessions to accelerate the transition from costly proprietary software to general-purpose programming languages.• Identify and implement innovative solutions to reduce cloud technology costs.• Contribute to the development of agile methodologies. Encouraged team to implement these methodologies and other best practices.• Promoted use of modern scheduling and data flow technologies.• Transitioned the customer support model product support from customer-to-engineer emails to a managed Customer Relationship Management (CRM) technology.• Coached and mentored direct reports in their career path while keeping them engaged, and confident during projects• Earned outstanding performance ratings by exceeding expectations and established goals.

Core framework developer and subject matter expert for new technology stack for flight connection building. •Managed foundational data and pipelines to support multimillion-dollar downstream products and processes.• Developed and maintained strong stakeholder relationships.• Architected and designed new production system that includes mechanisms for both high-availability and disaster recovery for flight connection processing.• Reduced technical debt by simplifying inherited codebase with varying degrees of refactorization, modularization, and abstraction. This resulted in a significant reduction in job configuration time (days to hours) during the active system migration phase and beyond.• Optimized how data flows through existing production system components.• Advised on and implemented cloud instance strategies for development and production systems with an emphasis on rightsizing and reducing cloud-related costs.• Prepared and presented technical and logistical training activities for broaderteam.• Earned outstanding performance ratings by exceeding expectations andestablished goals.

Sole developer for RELX Group's Innovation Team under direct supervision of the VP of Innovation, contributing software engineering/machine learning expertise in the development of several applications and projects for businesses under the RELX Group umbrella.• Implemented project-specific machine learning and statistical algorithms.• Evaluated the effectiveness of both open-source and proprietary technologies for use within RELX Group products.• Developed and tested contributions to machine learning library for High Performance Computing Cluster (HPCC Systems) platform.• Contributed to the Innovation Team’s communications about machine learning and data intensive computing/experimentation. • Mentored summer interns and assisted in their successful contribution to company's proprietary technical resources.• Managed technical contractors, assigned duties and evaluated work products.

• Implemented scalable machine learning algorithms for HPCC Systems platform resulting in upwards of 11x speed-up in performance over existing implementations.• Contributed to lower-level linear algebra libraries for HPCC Systems using Parallel Block Basic Linear Algebra Subprograms (PB-BLAS).• Presented to both executive and technical audiences on the inefficiencies of the existing machine learning strategy as well as plans and progress made on strategy improvements.

• Analyzed complex panel data, using nonparametric statistical methods, to evaluate impact of high dollar instrument acquisitions on academic output and research institutions.• Evaluated social media phenomena in post-secondary research.• Developed efficient algorithms for aggregating, modeling, transforming, and analyzing complex, big data. • Provisioned and monitored big data clusters (Hadoop, Spark, HPCC Systems) and analyzed their behaviors and strengths.

• Developed machine learning techniques for biometric feature selection, extraction, and weighting using genetic and evolutionary computational methods.• Demonstrated the ability to classify sex of fruit flies by wing texture using above techniques with 80% accuracy.• Collected and normalized image data sets• Created and analyzed cyber identity profiles and fingerprints to identify unique users within a system.

Developed proof of concept for parallel fsck (file system check) for OrangeFS (Parallel Virtual File System) file system

• Examined intrusion detection in large-scale cyberinfrastructure-oriented environments.• Participated in the initial setup of the university's first cyber security lab.