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Click here or scroll down to respond to this candidateCandidate's Name
Sr. Python DeveloperEmail: EMAIL AVAILABLEPhone: PHONE NUMBER AVAILABLELinkedIn: LINKEDIN LINK AVAILABLEProfessional Summary:More than 6+ years of experience in client-server technologies, Python, Django, and AWS design, development, and implementation.Has experience creating applications in a Python-based environment utilizing Waterfall, Agile, and Scrum story development methodologies.Proven ability to use Python and Django to build and implement complex, mission-critical systems utilizing object-oriented design and programming ideas.Proficiency with Object-oriented ideas such as Overloading, Overriding, Polymorphism, Constructors, Inheritance, and Class Creation.Practical experience with Linux, Apache, MySQL, and Python/PHP as well as WAMP (Windows, Apache, MYSQL, and PHP).Practical experience with AWS services such as Amazon SQS, Amazon EC2, Amazon S3, Amazon Redshift, and Amazon EMR.IAM creation experience to add roles, users, and groups to an AWS account and associated resources for extra security.Contributed to various mainstream Python packages, including wxPython, Numpy, Beautiful Soup, Pandas, matPlotLib, Pickle, and Scipy.Hands-on experience using PyCharm, Sublime, Eclipse, Spyder, and NetBeans, among other Python IDEs.Practical experience creating web apps with the Django, Flask, Webapp2, and Spring web application frameworks and implementing MVT/MVC architecture.Proficiency with Django ORM and SQLACHEMY.Proficiency in utilizing several databases, including PostgreSQL, MongoDB, Oracle, SQL, and MySQL.Skilled in creating intricate SQL queries, Stored Procedures, Functions, and Packages as well as executing DDL and DML database operationsProven track in managing REST and SOAP web services and collaborating with various servers, including Web Logic and Apache Tomcat.Has experience creating user interfaces using JavaScript, HTML5, CSS3, jQuery, JSON, AJAX, XML, and Bootstrap.Solid background in online application development and Model View Control (MVC) architecture implementation using server-side programs such as Django, Flask, and Pyramid.Has worked with MVC frameworks such as Node.js, Angular JS, JavaScript, and Django.Hands-on experience with sophisticated List Comprehensions and built-in Python methods like Lambda, Filter, and Map.Practical experience writing Java, C, and C++ code.Adhered to PEP-8 and other standard practices for Python.Working knowledge of multiple version control systems, including SVN, GitHub, and Git.Working knowledge of all stages of the Software Development Life Cycle (SDLC) and familiarity with JIRA, Red mine, and Bugzilla as project management tools.Application deployment experience with Jenkins, which offers Continuous Deployment (CD) and Continuous Integration (CI).Working knowledge of various operating systems, including UNIX, Windows, and LinuxPossess knowledge of development best practices, including user acceptance testing (UAT), system integration testing (SIT), unit testing, and code reviews.Technical Skills:LanguagesPython 3.x,2.7/2.4Python FrameworkDjango, FlaskWeb DevelopmentAngular 10/9/8/7, Angular CLI, Angular Material, NodeJs, Express, Django, Flask, JSON, XML, HTML, Bootstrap, CSS, REST and AjaxCloudAWSServersApache Tomcat, Apache 2IDE ToolsEclipse, PyCharm, Visual StudioDatabasesMySQL, PostgreSQL, MS SQL, OracleVersion Control ToolsGIT, GitHubBug Tracking toolsJIRAOperating systemsWindows, iOS, AndroidProfessional Experience:BMC Software, TX (Remote) Mar 2023-Till DateSr. Python DeveloperResponsibilities:Used Apache Kafka, Spring Boot with Spring MVC, and Microservices based on RESTful APIs to implement or expose them. created Python Rest APIs using the Django framework and a Mongo database for the front-end team.Created a Dynamo DB pipeline for email bounce handling record routing and storage.To manipulate and get local timestamp data, the Pandas API was utilized to turn the data into tabular and time series format, which was then stored in MongoDB.UI Screens for validation and initiation were created. Utilizing HTML5, XHTML, CSS3, JavaScript, Angular-JS, Bootstrap, AJAX, JSON, and Gulp, user interaction screens were designed and constructed. When parsing HTML, certain DOM elements can be chosen using PyQuery.Created single-page applications with DHTML, CSS, Angular JS2, and Semantic UI libraries.Utilized Python, Perl, CGI, jQuery, JavaScript, and JSON in front-end work; also had familiarity with SQL Server, Shell Scripting, UNIX and Linux, and Open Stock.The Django database was successfully moved from SQLite to MySQL to PostgreSQL while maintaining total data integrity.Used a variety of prefabricated components from NPM (Node Package Manager) and developed numerous web components for screens using React.JS.Using the MySQL DB package and the Python-MySQL connector, I created and ran a variety of queries on the MySQL database.Created models and made predictions using the Logistic Regression approach utilizing Apache Spark Scala, a machine learning tool.Using Scala and Spark, I worked on converting Map Reduce routines into Spark transformations.Worked with Pandas, Pyexcel, NumPy, and SciPy to extract, organize, and analyse data using Python.Support for hosting static/media files, databases, and Amazon AWSS3 and RDS has been added to Amazon Cloud.Using Terraform, Packer, Cloud formation, Server Spec, Ansible, and Infrastructure as Code, AWS infrastructure can be managed.In charge of creating and editing scripts for daily administration utilizing bash, ksh, and sh.Proficiency in Python programming for Web Services development and familiarity with MVC frameworks such as Flask, Pyramid, and Django.I worked on configuring the local development environments and Atlassian Bit bucket for the Git revision control system.The Dynamo DB was successfully moved from PostgreSQL with full data integrity.To deploy the Django project into AWS, Amazon Elastic Beanstalk was used in conjunction with an Amazon EC2 instance. Set up Jenkins for continuous integration on Amazon EC2.Collaborated with an Architect and Developer team to construct and implement Python Django Peewee Linux AWS. used Python Boto3 to work with instances and AWS S3 buckets.Developed tools for initializing local application environments that mimic Beanstalk setups while working on the AWS SDK gem.To automate the AWS infrastructures, Lambda functions, and Python scripts were created.Successfully finished the task of utilizing AWS Lambda to manage the servers and run the code in the AWS. Used AWS Cloud Watch for monitoring, customizable metrics, and file logging.While the website was in production mode, Django models could be changed while keeping all data by using manual SQL changes and Django evolution.Using Auto scaling groups, Dynamo DB, EBS, and Elastic Load Balancer, I implemented AWS solutions.Contributed to the development of the Docker consoles and containers for application life cycle management.Install Docker on a Linux system and set up Jenkins to operate on the Docker host.Closely collaborated with the designer to leverage Flashvars kept in Django models to tightly integrate Flash into the CMS. further utilized Django to build XML that the Flash would use.Added full access via the SQL Alchemy as ORM mapping tool. wrote SQL queries and kept the local development environment's PostgreSQL RDBMS up to date.Did statistical analysis use the Pandas library.Environment: Python 3.6/2.7, Django 2.0/1.6, Flask, HTML5, CSS, XML, Spark, Scala Java, JavaScript, Angular JS, Backbone JS, JQuery, CSS Bootstrap, Terraform, Microservices, Mongo DB, MS SQL Server, T-SQL, Eclipse, Git, GitHub, AWS, Linux, Shell Scripting.Marsh McLennan NYC (Remote) Sep 2022- Feb 2023Sr. Python DeveloperResponsibilities:Work on Agile development while adhering to Sprint, Scrum, and daily in-person meetings.To construct user-friendly website interfaces, views, and models were developed using the modeling language and Django and Azure view controllers.I worked on Django Web Framework frontend and backend Python modules.Designed the application's structure using best practices and the Angular style guide.Made use of Python libraries such as NumPy, Twisted, wxPython, etc.Using Flask Framework and Python Django-REST, we designed and implemented RESTful APIs for mobile applications as well as online services.Put the Django MVC architectural design pattern into practice.Created user interfaces with Bootstrap, JavaScript, .Net, CSS3, XML, HTML5, jQuery, and Cosmos DB.Using SQL and PL/SQL, complex database objects including stored procedures, functions, packages, and triggers were created.Developed an application utilizing the majority of Core and advanced Java concepts in the Eclipse IDE.Configured your Lambda deployment function to receive events from your S3 bucket after creating it.During the building and upkeep of websites, apply UI standards and guidelines with HTML, Cognitive, Azure Cloud, CSS, .Net, JavaScript, and jQuery.Create S3 buckets, maintain S3 bucket policies, and use Glacier and S3 buckets for AWS storage and backup.Extensive usage of dynamic SQL, tables, object types, and records in PL/SQL.Developed database models, APIs, and Python views to build a responsive web application.Automated the construction and deployment of Docker containers in Mesos using Jenkins and GitHub for Python source code version control.Developed and put into use a specialized MySQL database server for managing web applications and providing daily updates.The application's performance was enhanced by switching the database from MongoDB to Elastic search.Skilled in HDFS data processing and PySpark.For all Python apps, PyUnit, the Python unit testing framework, was used.Closely collaborated with the product development team during every stage of the testing process.Using SQL and PL/SQL, complex database objects including stored procedures, functions, packages, and triggers were created.Contributed to project deployment by working on the Jenkins continuous integration technology.Created and executed plans for performance, scalability, and availability for cloud-managed service infrastructures.To increase efficiency, batch collection is frequently used in PL/SQL objects.For version management, use Git.Added the project to GitHub and set up a Git repository.Work together to find solutions and offer input to teams both inside and outside the company.Work with Linux, Django, and Python to develop principles in Object-Oriented Programming (OOP).Issue and bug tracking are handled using JIRA.Currently working on JUnit test case coding.Real-world expertise in a variety of settings, including development, testing, and production.Environment: Python, Django, HTML5/CSS, cosmos DB, Azure, Agile, JavaScript, NumPy, Pandas, .Net, MVC, jQuery, AWS, MongoDB, Eclipse, Linux, JIRA, Cognitive, JUnit, Docker, Kubernetes.Amdocs, India Jan 2018 - July 2022Python DeveloperResponsibilities:Employed PHP to construct the functionality of the website and took part in the full SDLC process.Used JavaScript, HTML, XHTML, AJAX, and CSS to design and create the website's user interface.Used Python on the Django Web Framework to develop complete front-end and back-end modules.MySQL was used in the design and development of the data management system. Used Python 2.7 to build the application logic.Database access was done via Django APIs.Reports based on client data can be created, edited, and viewed by the end-user using a PyQt-powered GUI.The backend of a client web application can be efficiently built with Angular.js.Collected data from XML files using Python.Competence with Web Services, BPEL, WSDLs, SOAP1.1, XML, XSD, XSLT, and other technologies associated with service-oriented architecture (SOA).Working closely with the architect on the design and modeling process, as well as helping to collect requirements.Developed stored procedures and SQL for MySQL.The library developed a shopping cart and integrated web services to enable payment access (E-commerce).Used Python Flask to design and create a horizontally scalable API.Designed the APIs' Cassandra schema.Created recommended practices for utilizing elastic search and put monitoring into effect.Solved questions by efficiently interacting with outside vendors.For version control, GIT was utilized.Environment: Python 2.6/2.7, JavaScript, Django Framework 1.3, CSS, SQL, MySQL, LAMP, JQuery, Adobe Dreamweaver, Apache web |
