Cooking
Rohit Kumar
Cloud Engineer
Delhi
Summary
Experienced AWS Cloud Engineer adept at crafting, deploying, and managing AWS infrastructures. Skilled in EC2, S3, RDS, Lambda, automation, and DevOps methodologies.
Overview
3
3
years of professional experience
3
3
Certifications
2
2
Languages
1
1
year of post-secondary education
Work History
Cloud Engineer
Tekrosta cloud services
Gurugram
12.2022 - Current
- Designing and implementing cloud infrastructure solutions on AWS, leveraging services such as EC2, S3, RDS, Lambda, VPC, and more.
- Configuring and managing CI/CD pipelines using AWS DevOps tools like CodeCommit, CodeBuild, CodeDeploy, and CodePipeline.
- Utilizing serverless computing with AWS Lambda to build scalable and cost-effective applications.
- Implementing ETL processes and data integration using AWS Glue for efficient data processing and analysis.
- Deploying and optimizing Amazon EMR clusters for big data processing and analytics.
- Configuring and managing containerized applications using Docker and orchestration services like Amazon EKS and ECS.
Cloud Engineer
iGlobe Career
Noida
03.2022 - 12.2022
- Managing and optimizing workloads for in-house applications, ensuring high performance and availability.
- Collaborating with internal teams to understand workload requirements and provide scalable cloud solutions that support our educational platforms and services.
- Configuring and managing AWS services such as EC2, S3, RDS, Lambda, and VPC to support our workloads and applications.
- Implementing and managing CI/CD pipelines using AWS DevOps tools like CodeCommit, CodeBuild, CodeDeploy, and CodePipeline.
- Ensuring compliance with security best practices and industry regulations to protect sensitive educational data.
- Monitoring cloud infrastructure performance and conducting regular audits to identify and address any issues or bottlenecks.
- Providing technical guidance and support to internal teams on cloud-related matters, including best practices, optimization strategies, and troubleshooting.
Senior Analyst
Accuwiz consulting LLP
Noida
11.2021 - 03.2022
- Accuwiz, is an endeavor to offer swift-solution to complex business, finance and accounting related problems and AWS Services.
Data Analyst
Finalytics Financial Advisory
Gurugram
05.2019 - 05.2020
- We provide fixed income research and analytics solution to our client to assist in their decision making.
Education
PGPDSE - Data Science & Engineering
08.2018 - 3 2019
Machine learning and data science engineering
B.E - Electronic &communication Engineering
08.2011 - 5 2015
- Percentage: 74.90%
- Electronic & communication Engineering
Higer schooling - Science Education
07.2009 - 6 2011
10th - Science Education
06.2008 - 05.2009
Skills
AWS VPCAWS CloudwatchEMRAWS Auto scallingAWS GlueATHENAAWS ALBAWS S3AWS EC2AWS IAMAWS LAMBDAAWS ECRDOCKERGITAWS EKSLinuxREDSHIFTAWS Bedrock
Kubernetes Management
Aws codeBuild
Aws codecommit
Aws codedeploy
Aws Codepipeline
Certification
Data science & Engineering, 08/2018, 04/2019, Great Lakes Institute of Management, Bangalore, India
Projects
I successfully migrated SVN branches to AWS CodeCommit, built applications including Skyrelo, Outlook plugin, and Onboarding, generating WAR files and artifacts stored in S3. Utilizing an appspech.yaml and buildspech, I orchestrated deployments via AWS Deploy, employing both in-place and blue-green strategies. Additionally, I engineered an AWS CodePipeline for CI/CD, integrating stages for post-deployment tasks, such as invoking Lambda functions to halt services like Tomcat, and capturing the latest green environment server as an AMI, ensuring seamless success.
I successfully deployed the Docker image to AWS ECR and subsequently launched the microservice application on EKS using AWS Fargate. I created the deployment.yaml, PV, and PVC files, and established EFS for persistent data storage. Additionally, I configured a service for ALB ingress to facilitate external access
AWS Redshift- Glue & Quick-sight, 11/2023, 12/2023, The project involves studying Apache logs stored in Amazon S3. To process the data, I utilized AWS Glue to crawl and transform the data, sending it to Amazon Redshift. Subsequently, I created a QuickSight dashboard for visualisation and reporting.
Aws EMR and PowerBI Dashboard, 01/2023, 01/2023, Successfully Delivered project in which AWS services like EMR, EC2, S3, LAMBDA, RDS, VPC, VPN included apart from it 3rd party tools MYSQL and Microsoft PowerBI is included.
Interests
Timeline
Cloud Engineer - Tekrosta cloud services
12.2022 - Current
Cloud Engineer - iGlobe Career
03.2022 - 12.2022
Senior Analyst - Accuwiz consulting LLP
11.2021 - 03.2022
Data Analyst - Finalytics Financial Advisory
05.2019 - 05.2020
Great Lakes Institute of Management - PGPDSE, Data Science & Engineering
08.2018 - 3 2019
Technocrat Institute of Technology - B.E, Electronic &communication Engineering
08.2011 - 5 2015
A.N.S college - Higer schooling, Science Education
07.2009 - 6 2011
B.P High School - 10th, Science Education
06.2008 - 05.2009