Abhi

About Abhi

Highly motivated DevOps Engineer with extensive technical experience in building, managing, configuring and automating VMware, AWS, Azure infrastructures, leveraging configuration management, CI/CD, IaC, and other DevOps technologies.TECHNICAL EXPERIENCE:• Cloud Technologies: AWS & Microsoft Azure• Virtualization: VMWare vCenter 6.5, 6.7• IaaC: Terraform, Ansible, Packer, AWS CloudFormation• OS: Red Hat, CentOS, Ubuntu, Windows • Orchestration & Containers: Kubernetes, Docker • Monitoring & Logging Tools: PRTG, Splunk Embedded AJAX in UI to update small portions of the web page avoiding the need to reload the entire page. Successfully migrated the Django database from SQLite to MySQL to PostgreSQL with complete data integrity. Using Django evolution and manual SQL modifications was able to modify Django models while retaining all data, while site was in production mode. Leveraged ETL for extraction, transformation, loading and dealt with Datawarehouse. Involved in web application development for backend system using AngularJS and Node.js with cutting edge Written Web services using SOAP for sending and getting data from the external interface. Implemented user interface guidelines and standards throughout the development and maintenance of the website using the HTML, CSS, JavaScript and jQuery. Designed Data Quality Framework to perform schema validation and data profiling on Spark (Pyspark). Parsers written in Python for extracting useful data from the design data base. Development of XMLs for several components which maintains data for several registers. Development of data structures, xml parsing using Python. Worked on complex SQL Queries, PL/SQL procedures and convert them to ETL tasks. Created four staged CI/CD pipelines with AWS CodePipeline plugin for Jenkins, GitHub repository, Jenkins build server EC2 instance using IAM instance role, proxy and firewall settings to allow inbound connections on server and AWS CodeDeploy. Designed and deployed AWS solutions using, S3, RDS, EBS, Elastic Load Balancer, Auto scaling groups & Cloud Formation. Created monitors, alarms and notifications for EC2 hosts using Cloud Watch. Responsible for creating Chef Cookbooks and Docker containers that can be used by the development team to do local development as well as help improve the deployment process. • Ticketing: Jira, Jira Confluence, ServiceNowpment.

Experience

1. Senior Devops Engineer Sre

   Broadcom

   Mar 2019 — Present · New York, NY, US

   Created and managed Kubernetes and Docker container efforts with on-prem and AWS infrastructure- Enabled fedramp certification for GovCloud offering- Developed local tooling for Kubernetes development and testing- Updated and enhanced load testing methods for core products and services- Built slack bots to automate manual tasks- AWS maintenance and administration- Responsible for Kafka and Elasticsearch in Kubernetes that handled terabytes of traffic per hour- Built next generation CD pipeline with helm- Created and maintained initial terraform implementation- Implemented cost savings measures that reduced cost by millions of dollars. Requirement analysis to find feasibility to migrate Cassandra to DynamoDB in terms of Cost, Security and availability. Setting /Accessing Dynamo DB Env and Creation of Tables, on Demand Backup, authendation and access control etc. Designed highly scalable and fault tolerant, highly available and secured, distributed infrastructure (IAAS) using EC2 instances, EBS, S3, RDS, ELB, Auto Scaling, Lambda, Redshift, DynamoDB etc. in AWS Cloud. Defined logical workflow and designed network diagram for AWS cloud. Configured and managed various AWS Services including EC2, RDS, VPC, S3, Glacier, Cloud Front, and Route 53 etc. Managed offshore and onsite resources effectively to meet the project deadlines, conduct quality checks, conduct meetings with team members, and communicated status back to management teams. Proactively monitor resources and applications using AWS Cloud Watch including creating alarms to monitor metrics for services like EBS, EC2, ELB, RDS, and S3. Migrating servers from on-premises data centers to cloud by using AWS database migration service and other conventional methods such as Import/export, backup and restore etc.