- Leads various sprint ceremonies for our team, including daily stand-ups, sprint retrospectives, and demo planning meetings.- Oversees the team in the boss's absence and serves as a backup for conducting new feature demo presentations to the larger Nielsen user audience. - Engages in new product POCs and Spikes to assess feature viability and architect their integration into our platform.- Assisted in reviving, defining, implementing, and interviewing for Nielsen's internship program, and successfully managed several interns, all of whom received full-time offers.- Continuously develops new platform features, incorporating strategic refactors to enhance deployability and reliability. -- Led a significant initiative to refactor our most critical and fragile Airflow DAG publishing and execution workflows, resulting in a substantial reduction in support load and improved end-user ease-of-use without affecting production deliverables. -- Led a comprehensive refactor of our platform installation process, automating environment setup for Nielsen clients to deploy instances within a shared cloud account. Developed a framework using Terraform, HashiCorp Vault, Invoke, Jenkins, and other tools to create reusable components for provisioning the entire platform and its infrastructure.

- Plays a pivotal role in the development, support, and maintenance of Nielsen's Kubernetes and Python-based platform for machine learning and data science software development lifecycle.- Consistently improve deployment automation tooling using a variety of tools, including Terraform, Helm, Ansible, GitLab CI, Jenkins, Docker, Invoke, Make, Artifactory, and various other build and automation tools. Defined standards and conventions for how our microservices should be built.- Designed, tested, and enhanced Python-based microservices and utilities focused on the productionalization and processing of large-scale data sets, employing tools such as Apache Spark, Airflow, JupyterHub, and MLFlow.- Performed numerous upgrades to our core platform software, including Kubernetes, Python, Istio, Jupyterhub, Spark and more. - Created a Flask-based microservice and API to orchestrate Spark clusters within Kubernetes, optimizing processing for all platform workloads and enabling hundreds of revenue-generating deliverables.- Deployed a customized Istio integration to authenticate and propagate workload identities across our platform, enhancing security and cost tracking. Leveraged Istio for password-less authentication with other microservices within the cluster and improved resiliency through automatic HTTP request retries.- Implemented GPU support into the platform, empowering data scientists with essential tools for advanced machine learning workloads.- Implemented a system enabling platform users to submit their Python and Java package requirements, which were then installed, frozen, and signed by the platform to ensure secure and reproducible production workflows.

- Led the software development team as the top technologist, overseeing the creation ofPython/Django applications.- Set technology direction, developed coding standards, managed tech staffing, oversaw inbound work for the production team, and supported client apps as on-call lead of a 24/7 on-call team.- Conducted extensive code reviews for potential client codebases and created detailed RFP estimates based on existing code and desired features. Frequently participated in sales and client meetings. Developed and implemented a process for client-requested code audits, live coding workshops, usability surveys and more.- Developed and implemented standards for maintenance upgrades, greenfield development,infrastructure migrations, and client onboarding.- Designed and led the development of a SaaS search application to replace Google Custom SearchEngine, serving as the website search backend for several hospital networks and other clients. Built a fully customizable search crawler, results index, query engine, and UI using open-source technologies, including Elasticsearch, Celery, Django REST Framework, Scrapy, and Textract.- Developed a custom asset management database, documentation wiki, and portal with full search capabilities to document and organize company knowledge.- Continued to perform duties of Sr. Web Application Architect.

- At this web consultancy, developed and enhanced custom Python/Django web applicationsacross various industries, including medical, education, research, banking, retail, andentertainment.- Developed and deployed applications on various cloud platforms, including AWS, RackspaceCloud, DigitalOcean, Google Cloud Platform, Heroku, and on-prem.- Built portals, online stores and shopping carts, Django admin alterations, CMScustomizations, microservice applications, mobile APIs, online tax form editors, event scheduling tooling, interactive graphs, animated museum displays, radio station playlist editors, and more.- Ensured compliance with PCI, HIPAA, security best practices, Python best practices, and optimized for page load performance.- Utilized Python tools such as DjangoCMS, API clients, Django Rest Framework, Haystack, Fabric, Celery, RQ, lxml, GeoDjango, and many other tools in the Python ecosystem.

- Was promoted to Production Support Deployment Lead- managed builds for UNIX/Oracle Apps- Provided on-call support for production MIS data warehouse / datamarts- Developed Shell/PLSQL/Perl tools for migration and monitoring- Coordinated with development, QA&T, business, and infrastructure

Assisted in the administration of UNIX/Linux/Mac OS X networkWorked with shell scripts; HTML, CGI, PHP development; UNIX/Linux/Mac installations; network diagnostics; hardware replacement; and tech support for faculty UNIX devices

Assisted in audits of Information Technology areasAdded functionality to VB/SQL Resource Scheduler application