Node js Developer Resume Sample

-Create, track, customize marketing campaigns for various marketing platforms in a few clicks.
-Building scalable, high load application.
Frontend part:
-Development of SPA (NextJS). Creating components and pages (MaterialUl, Apollo GraphQL, Tailwind, React Hooks)
-Embedding Storybook, adding developed components there – Writing E2E (Cypress) and Unit tests (Jest / React Testing Library)
Backend part:
-Creating Serverless (AWS) infrastructure: scheduled jobs, event handlers, Aurora DB, Redshift and etc. (Lambda, SNS, SQS, API Gateway)
-Creating Public API for clients to be able to interact with system externally
-Integrating with 3rd Party Services (Monday.com, Social Networks, Skyvia and etc.)
-Unit tests
DevOps:
-Support / Extending AWS infrastructure (Configuring Lambda functions, Creating DB for new clients, Scheduling, Redshift)

-Preparing Vogue.com platform for the yearly Live stream Met Gala event.
-Adding the ability to embed Captions for live and non-live videos and cross-browser support.
-Creating AWS Cloud Formation setup + BE + FE functionality to be able up and run infrastructure for parse captions for live stream events (MediaPackage + MediaLive + CloudFront + 3playmedia).
-Tracking events during live event.
-Testing and improving video player and site pages for highload – Sticky and collapsed player functionality.

-Map based project which aggregates real estate listings from different data sources and allows users to search, interact and create new their own data.
-Leading 4 members FE team (consult, code review, planning, reports, demo).
-Development of NextJS web application from scratch.
-Consulting and helping BE team to architect and develop REST API endpoints on PHP and Python.
-Setup CI/CD based on Bitbucket pipelines and Heroku. (Initial).
-Setup CI/CD based on Circle Cl and AWS Services (EBS, ECR, EC2, S3 and etc) (Current) for BE and FE parts.

-Augment’s Al technology resolves everyday problems faced by Contact Centers leading to increases in NPS scores, improved agent efficiency, and decreased operational costs. Our cloud first approach allows our Al solution to be deployed within days.
-Solution for big companies which have Support department. Al based app allows to be integrated with various popular chat platforms like BoldChat, Zendesk, Twilio, Salesforce and help agents to get Al predicted answers for clients requests with suggestions of products, text answers and additional information.
-Creating ReactJS application from scratch which provides Dashboard functionality for connected clients. List of agents, conversations, calculated metrics, predictions, suggestion to improve communication skills and etc.
-Development Chrome Extension which tracks agent behavior, checks user input and sends info to the server. Also extension provides realtime notices based on WebSokets.
-3rd party integrations. Using their API to get info, auto operations, creating Chat provider specific apps, controller and etc to be able to embed our chat helper in specific platform and listen to chat events (BoldChat, Zendesk, Twilio, Salesforce and etc.).

-Development of Backend part related to Data generation and processing for famous UK football club Chelsea.
-Development scheduled jobs (AWS Lambda) to prepare and generate statistics data, reports and etc. consumed by Mobile Apps and Web application.
-Getting, parsing and handling real-time match data (from Gigya) to display on live board of apps.
-Wring REST API for providing endpoints to allow Apps to interact with data and DB and run specific operations.

-Development of reusable client-side components like Live scores, Standing, Statistics, Team page and etc.
-Refactoring and optimisation of legacy Javascript code.
-Working with third-party APIs: Cloudinary, Social networks Js javascript.