Daniel S. Email & Phone Number

Charleston, South Carolina Metropolitan Area

Worked in a Mac/Linux environment using Python, Terraform, AWS Cloud, Docker, and GithubDeep dove into the Python application/Redis queue to add re-queuing to failed jobsDebugged/Added Unit Tests for Python application featuresSolved a major application inefficiency with the Redis server cutting report run times in halfWorked with AWS RDS inspecting data, updating schemas, and researching indexing paradigms for faster queriesRefactored the Terraform pipelines, parameterized hard-coded values and consolidating flows into modulesFixed Terraform deploy conflicts that forced multiple runs in order to successfully deployBuilt out ECS Cluster Autoscaling via Terraform with Cloudwatch Rules/AlertsHandled performance testing of Autoscaling features via Python Locust frameworkDeployed Terraform changes up the environments Dev/Test/Prod(during install windows)Automated the process of/Migrated the wiki from Doku to GithubMentored a junior DevOps engineer on Python, AWS, and TerraformManaged my own workflows with Jira ticketing and a Kanban flow

Remote

Worked in Mac/Linux environments primarily using Python, Terraform, CloudBees, AWS Cloud, GithubWorked with multiple AWS Cloud products from Glue, S3, Athena, Eventbridge, Lambda, Sagemaker, IAM, etcDeveloped from scratch 3 data pipelines integrating with AWS Cloud technologies or APIsThe architecture consumed a repo of data queries and deploy them to the cloud for the Data ScientistsPipelines built with smoke test suites, infrastructure as code, organized documentation, and shared architecturePipelines included infrastructure logging and alerting on query execution results to business ownersWeekly query deployments following change management processes and pull request reviewsAll pipelines are in compliance with the companies policies for code scanning, auditing, and credential managementTroubleshooted pipelines issues and helped the Data Scientists with their SQL or Python(Pandas/NumPy) scriptsThe most successful of the pipelines was adopted by 3 other teams for their reporting processesSpearheaded the initial migration of the groups source control system from gitlab to githubSpiked the integration of a new audit bundle suite into our group's pipelines to resolve audit compliance issuesWorked with the infrastructure team to resolve missing features and bugs with the internal CloudBees frameworkProvided training/demos to multiple users on pipelines and compliance featuresMet with project owners to work out technical requirements from the business requirementsMet with technical leads to advise on solutions around architecture, sustainability, visibility, and data complianceWorked on multiple projects following the Agile/SCRUM development paradigmInterviewed candidates and provided feedback to hiring managersFull remote independent working situation working with people from India and China to England

Greater Seattle Area

Worked in a primarily Python/Linux PostgresDB/Sqlite AWS VMs/Raspberry Pi ecosystemManaged and contributed to two teams of developers across two office locationsManaged multiple internal and external contractors and their projectsMet with outside consultants and provided feedback/advice to management on subject matterProvided feedback and consultation to internal teams on integration, architecture, and designFollowed Agile/Scrum methodology and prioritizing of features with managementProvided project/feature documentation with requirements and UML diagramsCleared payments to contractors and managed technical services payments/receiptsGave feedback on employee performance and recommendations for promotion/terminationManaged user accounts and keys across services (ssh keys, Git, AWS, etc)Troubleshooted and improved features on the React frontend and it's supporting MongoDBDeveloped/Troubleshooted features in Python/Docker on our Raspberry Pi edge device platformSpiked new edge device architecture in Python/Docker with one click buildsWorked with CTO to design regional micro service platform architecture for KubernetesSpiked time-series database architecture for quicker db read times and smaller indexesDeveloped/Troubleshooted features in Python(Flask)/Linux for the data pipelineDid code reviews and deploys at all platform levels (edge device, front-end, mid tier, db, pipeline)Worked with my development teams to to upgrade Pi OS and harden featuresProvided the UI team with feedback and API contract informationDesigned/Documented new PostgresDB schema structure for platform rewriteSupported the data on-boarding process for new sites and out of sync sitesPorted old time-series data to long term S3 glacier storageMassaged/Normalized data in databases that came in corrupted and recovered data from backupsSupported/Troubleshooted issues that impacted site performance and accessibility

Bellevue, Washington

Converted an internal hackathon pipeline process into an enterprise systemDecoupled the ACED stack from one box to three different tiers with metrics, alarms, and scalingDeveloped with a stack of Python, Flask, RabbitMq, Celery, AWS, Terraform, and GolangWorked closely with EC2, S3 and Cloudwatch to improve and extend ACEDAs a DevOp role handled infrastructure, coding, QA, and deployments at a regular cadenceMentored two developers via design discussions, paired programming, and code reviewsWrote design/technical documents for process, services and infrastructureCreated the process for testing the roll out of Production features via automated scriptsConverted the manual process of deploying the ACED stack to a 1-click deploy

Bellevue, Washington, United States

Worked on an Enterprise Java/Grails Tomcat Restful Service ApplicationMigrated the Mongo cluster by scripting the process with built in validation for ProductionMigrated/Hardened the teams Jenkins Bash scripts and pushed them to GitBuilt/Deployed a Node.js dashboard collating information from integration tests/servicesRegularly worked with AWS services S3, EC2, Elastic Beanstalk, and CloudWatchHandled Staging/Production deployments of all 7 services on a semi regular cadenceDeveloped from scratch an integration testing suite leveraging Postman and Node.jsModified/Deployed an authentication CRUD to Elastic Beanstalk for credential automationSpiked work on migrating auth database relationships into a new pipeline process

Worked on an Enterprise Java Tomcat SaaS platform using Spring like internal frameworkAnalyzed and updated code to ready the application for UTF-8 international charactersSpiked project to tokenize and segmenting chinese characters for search indexingDeveloped customer facing features released to productionFront-end development with Javascript, Html5, Jquery, and custom built tag librariesSupported and validated test and production releasesScripted SQL queries to manipulate data and adjust the database schemaResearched and hardened requirements for prospective projectsMentored an entry level programmer

Worked on an Enterprise Java Tomcat platform using SpringCoded 20+ DAOs for critical back-end databases following the MVC patternBuilt Unit Test suites for service calls and applicationsProvided support for Production installs and SLA support periodsSetup test environments with Jenkins continuous integration serverManaged deployment and debugging of applications in Linux test environmentsWrote SQL scripts for editing roll-out data across SQL Server environments

Master’S Degree, Computer Science

Activities and Societies: Game Lab Graduate Assistant Dance Tool Project

Bachelor'S Degree In Computer Information Systems