• Wrote microservices in python3 using Django, DRF, falcon, pytest, gRPC

• Used terraform to maintain both AWS and Kubernetes infrastructure.

• Used both mongo and Postgres for various services.

• Deployed mender backend to Kubernetes cluster for secure OTA updates.

• Replaced AWS Cognito with Keycloak.

• Replaced IOT core with haproxy and vernemq.

• Updated a few services in golang.

• Some linux and cryptography.

• Wrote small react user management app.

• Backend: python, falcon, golang, Django, Django rest framework, mongo,

postgres.

• Devops: kubernetes, terraform, elasticsearch, kibana, keycloak, prometheus,

mender, circleci, prometheus, grafana.

Stack: Python 3.6.3, Django 2.1, Redis, MySQL, ElasticSearch, DjangoRestFramework

• Refactored data ingestion pipeline to use celery to compartmentalize and individually scale

individual parts.

• Participated in converting Ruby on rails app into a Django app.

• Implemented elasticsearch using elasticsearch-dsl.

Stack: Django 1.4-1.6, Redis, PostgresDB, MongoDB, React, Backbone, Sentry, Apscheduler, celery,

paper trail, AWS EC2, S3, Route 53, celery and flower.

• Participated in development and maintenance of two applications, an internal staff site run on

backbone and django and an external staff site run on falcon and react.

• Redesigned search functionality to improve search speeds and code simplicity for internal staff

site.

• Used external APIs (google maps, shipstation, Sentry, JIRA).

• Integrated shipstation APIs into SpotOn administor site to create, list, delete orders.

• Added south to project to use django models and migrations because we were on an old version

of django.

• Built and architected REST API using falcon complete with object based authentication, JWT

token with refresh token authentication for a react single page application.

• Introduced django’s admin panel to our project.

• Added celery v4 through cloudampq (rabbitmq service) broker in an effort to replace

apscheduler and our cron python jobs. Also added flower for monitoring.

• Deployed applications using fabric.