vineela

ad49cs@r.postjobfree.com

+1-816-***-****

https://www.linkedin.com/in/vantarivineelareddy/

Summary:

Around 4 years of experience in IT industry comprising of delivery management, design, development, release and deployment, and cloud implementation. Had working experience with cloud and monitoring processes as well as development in Windows, Mac and Linux systems.

Developed and maintained infrastructure solutions to meet business requirements, ensuring scalability and reliability.

Utilized Python to automate infrastructure provisioning, configuration, and deployment processes, improving efficiency and reducing manual errors.

Demonstrated proficiency in FastAPI for building robust and scalable web applications, enhancing user experience and performance.

Collaborated with cross-functional teams to design and implement infrastructure solutions, ensuring alignment with organizational goals and objectives.

Troubleshooted and resolved infrastructure issues in a timely manner, minimizing downtime and optimizing system performance.

Stayed updated on industry best practices and emerging technologies in infrastructure development, continuously enhancing skills and knowledge.

VPC peering connection is a networking connection between two VPCs that enables you to route traffic between them privately.

Hands - on knowledge on Continuous Integration server like Jenkins.

Strong experience in configuring and maintaining Confidential Web Services which include services like Confidential EC2, ELB, Auto-Scaling, S3, Route53, IAM, VPC, RDS, Dynamo DB, Cloud Trail, Cloud Watch, Confidential Cache, Glacier, SNS, SQS,

Cloud Formation, Cloud Front and EMR.

Designing highly available, cost effective and fault tolerant systems using multiple EC2 instances, Auto Scaling, Confidential Load Balance and AMls.

Experience in designing and deploying the application by utilizing Azure Services (Virtual Machines, SQL Database, Azure Storage, Azure Active, Network Virtualization, Content Delivery Network).

Experience in the installation, configuration and administration of web and application servers like Apache, Tomcat.

Experienced in administration of production, development, stage and test environment's carrying on Windows, Ubuntu, Red Hat Linux, SUSE Linux, Centos.

Hands-on experience in working with configuration management tools like Chef and Ansible.

Working experience designing VPC, Route Tables, Direct Connect, Internet Gateway, Security Groups, and Cloud Watch Monitoring Alerts.

Experience in Agile Testing Methodologies and Software Test Life Cycle (STLC).

Experience in using Confidential and Artifactory Repository Managers for Confidential and Ant builds.

Good understanding of OSI model, TCP/IP suite.

Experience migrating infrastructure and application from on premises to AWS and from cloud to cloud like AWS to Azure.

Actively involved in Project Planning, Requirement Management, Release Management & User interface benchmarking for different platforms.

TECHNICAL SKILLS:

Cloud Environments: Amazon Web Services

Virtualization: VMware Client, vSphere 5.x, Datacenter Virtualization, Virtual Box, Power VM

Operating Systems: Linux, Ubuntu, Windows servers, Windows.

Automation Tools: Jenkins, Docker, Terraform, Kubernetes.

Database: Oracle MySQL, MongoDB, DynamoDB, AWS RDS.

Scripting languages: Bash/shell, Python, YAM and JSON.

Networking/Protocol: DNS, DHCP, WAN, TCP/IP, SMTP, LAN, FTP/SFTP.

Version Control Tools: GIT, SVN, CVS, Bitbucket, GITHUB.

Monitoring Tools: Cloud Watch, Jira, Service-now.

Web Technologies: JavaScript, HTML, CSS, Web services

Certifications:

[PCEP-30-02] PCEP – Certified Entry-Level Python Programmer - https://www.credly.com/badges/eb57deae-5a99-447d-8020-2cca62f73dd5/linked_in_profile

Python Programming Expert -https://www.edureka.co/certificates/mycertificate/02320163dbd5226ada07613c9c1b3835

AWS Certified Solutions Architect Associate - https://www.credly.com/badges/27fde3ac-c0b0-4b2c-bc37-045e80bf1bb9/linked_in_profile

WORK EXPERIENCE:

Capgemini India PVT LTD. March 2019– Jun 2022

Role: Cloud Infrastructure Engineer

Responsibilities:

Used Test driven approach for developing the application and implemented the unit tests using Python Unit test framework.

Migrated successfully the Django database from SQLite to MySQL to PostgreSQL with complete data integrity. Worked on report writing using SQL Server Reporting Services (SSRS) and in creating various types of reports like table, matrix, and chart report, web reporting by customizing URL Access.

Creating reports and graph using Matplotlib package with Scientific computing stack Pandas Data framework.

Aggregated and Manipulate data using PYTHON PANDAS stored in AWS RDS SQL database and displayed in Dashboard.

Developed views and templates with Python and Django's view controller and templating language to create a user-friendly website interface.

Performed API testing by utilizing POSTMAN tool for various request methods such as GET, POST, PUT, and DELETE on each URL to check responses and error handling.

Setup and build AWS cloud infrastructure resources like EC2, EBS, S3, VPC, RDS, ELB, Auto Scaling, Cloud Formation, Confidential Cache, Cloud Watch, SNS, AWS Import/Export.

Installed, configured and setting up databases in AWS using RDS, Storage using S3 buckets and configuring instance backups to S3 buckets.

Design of Cloud architectures for customers looking to migrate or develop new PAAS, IAAS, or hybrid solutions utilizing AWS.

Creating S3 buckets and managing policies for S3 buckets and utilized for storage and backup on AWS.

Worked on Migration to AWS Cloud and designed terraform templates and modules to build entire AWS infrastructure.

Data Lake, AWS Data factory and AWS Analytics Services.

Setting up Virtual networks for site-to-site, Point-to- Site and Express Route Circuits in Azure .

Implementation of User Defined Routing. Setting up Azure network Security with NSG and Endpoint ACLS.

Creating and Implementing branching and merging strategy with multiple branches. Used Git as source code management repository to keep track of version changes. Implemented and maintained the Branching and Build/Release strategies utilizing GIT source code management.

Deployed and configured Elasticsearch, Logstash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda and Cloud Watch. Then store that logs and metrics into S3 bucket using Lambda function.

Assigned Roles and Policies to Users by using Identity and Access Management (IAM).

Created scripts for system administration using languages such as Shell and Python . Also developed and maintained Shell scripts for build and release.

Worked on creating the Docker containers and Docker consoles for managing the application life cycle.

Cloud Environment: RESTful web service, SOAP, HTML, Git, CSS, jQuery, Django,AWS, GCP, AWS Services (API Gateway, Lambda, DynamoDB, S3, CloudWatch, Code Build, Code Deploy)

Key Stack Technologies Private Limited

Role: Python Developer with AWS Aug 2018– Feb 2019

Responsibilities:

Performed debugging and troubleshooting the web applications using Git as a version-controlling tool to collaborate and coordinate with the team members.

Developed and executed various MySQL database queries from python using python -MySQL connector and MySQL database package.

Designed and maintained databases using Python and developed Python based API (RESTful Web Service) using SQL Alchemy and PostgreSQL.

Created a web application using Python scripting for data processing, MySQL for the database, and HTML CSS, jQuery and High Charts for data visualization of the served pages.

Generated property list for every application dynamically using Python modules like math, glob, random, itertools, functools, NumPy, matplotlib, seaborn and pandas.

Added the navigations and paginations and filtering columns and adding and removing the desired columns for view utilizing Python based GUI components.

Environment: SQLite, MySQL, PostgreSQL, Python, Git, CRUD, POSTMAN, RESTful web service, SOAP, HTML, Git, CSS, jQuery, Django

Implemented End to End solution for hosting the web application on AWS cloud with integration to 53 buckets.

Worked on AWS CLI Auto Scaling and Cloud Watch Monitoring creation and update.

Allotted permissions, policies and roles to users and groups using AWS Identity and Access Management (IAM).

Developed a fully automated continuous integration system using Git, Jenkins, MySQL and custom tools developed in Python.

Worked on AWS Elastic Beanstalk for fast deploying of various applications developed with Java, PHP, Node.js, Python on familiar servers such as Apache.

Developed server-side software modules and client-side user interface components and deployed entirely in Compute Cloud of Amazon Web Services (AWS).

Implemented Lambda to configure Dynamo DB Autoscaling feature and implemented Data Access Layer to access AWS DynamoDB data.

Automated nightly build to run quality control using Python with BOTO3 library to make sure pipeline does not fail which reduces the effort by 70%.

Worked on AWS Services like AWS SNS to send out automated emails and messages using BOTO3 after the nightly run.

Worked on the development of tools which automate AWS server provisioning, automated application deployments, and implementation of basic failover among regions through AWS SDK's.

Created AWS Lambda, EC2 instances provisioning on AWS environment and implemented security groups, administered Amazon VPC's.

Used Jenkins pipelines to drive all micro-services builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.

Involved with development of Ansible playbooks with Python and SSH as wrapper for management of AWS node configurations and testing playbooks on AWS instances.

Developed Python AWS serverless lambda with concurrent and multi-threading to make the process faster and asynchronously executing the callable.

Implemented CloudTrail to capture the events related to API calls made to AWS infrastructure.

Monitored containers in AWS EC2 machines using Datadog API and ingest, enrich data into the internal cache system.

Chunking the data to convert them from larger data sets to smaller chunks using python scripts which will be useful for faster data processing.

Environment: AWS, S3, EC2, LAMBDA, EBS, IAM, Datadog, CloudTrail, CLI, MySQL, Python, Git, Jenkins, DynamoDB, Cloud Watch, Docker, Kubernetes, SQLite, MySQL, PostgreSQL, CRUD, POSTMAN

Education:

MASTER’S in Computer Science, Auburn University at Montgomery, AL - Aug 2022 to Dec 2023.

Bachelors in Electronics and communication, JNTUH, India 2018

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