HARSH (RID : 1ate6l8inbueh)

DevOps Engineer

Location : BANGALORE, India, ,

Experience : 2 Year

Rate: $11 / Hourly

Availability : Immediate

Work From : Offsite

Category : Information Technology & Services

Shortlisted : 5

Total Views : 158

Key Skills

Devops Python AWS ASP.NET MVC ADO.Net Ansible Docker

Discription

HARSH

DevOps and Development Engineer

CAREER OBJECTIVE:

I am passionate and highly motivated developer who would love to work in challenging and diversifying environment, and having expertise in Python Automation , Python APIs ( FastAPI , Django , Flask ) , Python AWS Automation by Boto3. Lambda Edge by python, Python Websockets .

TECHNICAL EXPERTISE:

ELEMENTS PARTICULARS

Primary Skills

Python , API modules : Fast API , Webframe : Flask and Django

AWS Automation by Python Boto3 , GUI package manager : Python tkInter Shell Script automatin by Python OS , Dataframework by Python Pandas.

Languages/Query/Databases

Language - C#, Python, Terraform, Ansible, React Js, Node Js

Languages Known

English, Hindi

Secondary Skills

.NET (Asp.Net , Ado.Net ), Web Designing- Adobe Photoshop, HTML, CSS, Bootstrap, Adobe Dreamviewer, WordPress. Linux Administration, AWS Cloud, Python, LAMP Technology, Operating system- Linux & Windows, Automation Tools- Ansible and Terraform, Tools- Winscp, Remoting, Filezilla & Putty, Docker Technology, Cloud – AWS (EC2, S3, LB, VPC, Subnet, IG etc),

PROFESSIONAL EXPERIENCE DETAILS:

Internship (1st April 2020 to 30th May 2020) :-

During my internship program in Publicis Sapient, I got chance to work on below mentioned project and technologies. My responsibilities were to understand the process and learning the use of all the tools which are being used to support project named BRIDGESTONE.

During internship, I worked on Jira, Nagios, Uptrends, AWS, Docker, Python etc.

Job Title: Software engineer

Project: Video Analytics

Technologies: AWS (EC2, S3, LB, AS, VPC, SUBNETS, AMI snapshots, Lambda, SES, SQS, SNS and TRANSCODER), Websockets, Apache, Postgres, Mssql, Mysql, Tomcat, Ansible, shell script, Python, Jenkins, docker and Terraform

Ticket Management Tools: JIRA

Programming Lang: Python and .Net MVC, ADO .Net

Mobile Application: 1

Short Description: Company working on artificial intelligence-enabled ball tracking and video analytics technology from low-end devices like a mobile camera. The real-time analysis can be done simply by setting up the mobile

device on a tripod and recording from the Stupa application that detects the table, players and all the action that’s happening on the table. Stupa have serves, receive, heat maps, ball speed, hand type analysis, video highlights and much more. All these services are possible through a mobile phone.

Roles/Responsibilities:

- I have created AI Pipeline and also created python automation scripts to transcode all videos getting uploaded to the Portal.
- I have written Python Lambda functions to optimize EC2 instances costs.
- Handled the Product by my own in terms of Development as well as DevOps part.
- I have created python script with FFMPEG module which is used for converting the .mp4 video file in hls format and also created thumbnail , that optimized the infra cost by revisiting the architecture and saved $1000 per month which was a great achievement for me.
- I have written python script for implementing serverless architecture by boto3 module.

Job Title: DevOps Engineer

Project: Nissan

Ticket Management Tools: JIRA and Service Now

Technologies: AWS (EC2, S3, LB, AS, VPC, SUBNETS, AMI Snapshots, Lambda), Apache, Mysql, Tomcat, Ansible, Shell Script, Python, Jenkins, Docker and Terraform

Monitoring Tools: Site 24*7

Environments: INT/QA/UAT/PROD

Roles/Responsibilities:

Have knowledge of Monitoring Tools: Nagios, Uptrends
Handling the infrastructure in globally running website.
Implemented few Lambda functions.
Have Automated Blue/Green Deployments in Infrastructure with the help of Jenkins and Python
Have worked on Python Module and access the whole service with the help of codes.
Build Logics and created Automations by using AWS services like – Servers, AMI’s, Load Balancer, Auto Scaling.
Monitoring the full hold on Production servers and Pro-actively resolve the Issues. As NISAN is working 24*7.
Have performed Maintenance activity like (OS Patching, Running Kernel versions, Removing unwanted images).
Implemented Blue – green Deployment by python in AWS.

ACADEMIC PROFILE: