| | | 20,000+ Fresh Resumes Monthly | |
|
|
| |
Click here or scroll down to respond to this candidateCandidate's Name
Email: EMAIL AVAILABLE Phone: PHONE NUMBER AVAILABLEAccomplishment:An accomplished Senior Python Developer with over 8 years of experience in crafting high-quality, maintainable code and driving excellence in software development using Python. Adept at developing and supporting applications from both server-side and cloud perspectives, with a strong background in object-oriented design, data structures, coding standards, and modern development practices. Skilled in MVW frameworks like Django, JavaScript, and jQuery, with extensive experience in Python ORM libraries, including Django ORM. Demonstrated expertise in testing Python applications, including unit testing, integration testing, and API testing, ensuring the delivery of reliable software solutions. Experienced in implementing CI/CD pipelines using Git tools, enabling continuous integration and deployment. Proficient in managing Linux/Unix environments, and highly skilled in working with both SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, DynamoDB) databases, ensuring efficient data management and retrieval. Proficient in using Agile and Scrum methodologies to deliver robust, scalable, and efficient solutions.Professional Experience:Lululemon Sr. Backend Developer Jan 2022 - PresentProject Description:As a Senior Python Developer at Lululemon, led the development and deployment of critical applications that support the companys e-commerce and backend systems. My role involved writing, testing, and debugging Python code to deliver high-quality software solutions. Leveraged popular Python-Django framework to build scalable and maintainable applications. Involved in integrating applications with distributed storage systems like MongoDB and Sybase, ensuring efficient data handling and retrieval. collaborated closely with cross-functional teams, including front-end developers, DevOps engineers, and QA teams, to deliver robust and user-centric applications that enhanced Lululemon's online consumer experience.Responsibilities:Played a key role in implementing continuous integration and continuous deployment (CI/CD) pipelines using Git and Jenkins, automated the testing and deployment processes, significantly improving the efficiency and reliability of software delivery.Developed the back end of the application using Python on the Django web framework. Created automated data movements using Python scripts, involved in splitting, validating, and processing files.Conducted performance testing using Python-based tools like Locust and PyTest-benchmark to ensure the application can handle high traffic, utilizing additional tools such as Selenium for UI testing and Requests for API load testing, especially crucial in a financial trading environment.Designed AWS Lambda functions in Python an enabler for triggering the shell script to ingest the data into Mongo DB and exporting data from Mongo DB to consumers and created an AWS Lambda architecture to monitor AWS S3 Buckets and triggers a thumbnail create event whenever a user uploads a new picture.Worked on release management & deployment tools like AWS Code Pipeline, Cloud Formation, and AWS Code Deploy. Setting GitLab repository and Runner for build automation. Managed and optimized cloud infrastructure using AWS services. Utilized AWS Lambda for serverless computing, Amazon S3 for storage solutions, and AWS RDS for database management, ensuring high availability and scalability of Lululemons applications. Maintained a strong working knowledge of Unix/Linux systems, which was crucial for server management and automation tasks.Containerized the application files in Docker container by using Kubernetes to transfer the files from the AWS environment using CodeBuild. Developed microservices onboarding tools leveraging Python and Jenkins allowing for easy creation & maintenance of build jobs and Kubernetes deploy and services. Doctored the application by testing it using PyUnit.Worked on Jenkins for CI/CD processes has served as successful release of several features and improvements every week, system scalability throughout the lifecycle of developing the software using Git and GitHub.Supported the software with a database using the NoSQL database, MongoDB to store analytical data derived from various systems.Utilized Python Django web framework to develop web framework, interfaced with the database for capturing the CloudWatch alarms and storing in RDS consumed by the third party.Orchestrated data streams consumed from data centers to respond to data in real-time to process at extremely high speeds for an immediate response using Apache Kafka. Improved data acquisition strategy by 20% using Apache Spark to consume FIX messages from Kafka and store them in the MongoDB database.Designed and maintained databases using Python and developed Python-based API (RESTful Web Service) using Django, SQL Alchemy, and PostgreSQL. Developed Python web services for processing JSON and interfacing with the Data layer.Managed API system deployment using a fast HTTP server and Amazon AWS architecture. Using AWS for application deployment and configuration.Conducted performance tuning of ETL workflows, SQL queries, and Spark jobs to improve data processing speed and reduce latency.Deployed and configured Git repositories with branching, tagging, and notifications and integrated GIT into Jenkins to automate the code checkout process.Developed a fully automated continuous integration system using Git, MySQL, and custom tools developed in Python. Created a Git repository and added the project to GitHub. Used GitLab distributed version control tool to coordinate team development and utilized Python Libraries like Boto3, and NumPy with AWS.Syngenta crop Protection Sr. Python Developer July 2021 - Dec 2021The project is to implement the Agri router Interface using the Python API. This product can thus exchange data with a wide range of machines and agricultural software solutions via a single interface. Suppliers of hardware solutions help farmers and contractors to retrofit older machines or machines that do not have the interface integrated at the factory.Responsibilities:Wrote Python scripts to parse XML documents and load the data in the database. Utilized Python unit test framework, for all Python applications and used Django configuration to manage URLs and application parameters.Responsible for developing, monitoring, and maintaining Amazon AWS cloud infrastructure and its solutions for the internal cloud-based framework application. Developed and optimized data processing pipelines using Apache Spark, leveraging Spark's in-memory computing capabilities to achieve high performance and scalability. Built and managed large-scale data processing applications with Spark, handling batch and streaming data for real-time analytics and insights.Distributed data processing and analyzed stability and performance by Leveraging PySpark and developed shell scripts for automation data ingestion, transformation and orchestration tasks.Optimized PySpark applications for performance by leveraging techniques such as partitioning, caching, and broadcast joins, resulting in significant improvements in job execution times and resource utilization.Developed the notification service by posting the JSON request in AWS API Gateway, Validating the response in Lambda by getting the data from Dynamo DB and sending the notification through AWS SNS.Used Django Framework to develop the application and build all database mapping classes using Django models.Designed and maintained databases using Python and developed Python-based API (RESTful Web Service) using Flask and PostgreSQL. Written functional API test cases for testing REST APIs with Postman and Integrated with Jenkins server to build scripts.Bank of America Python Developer Aug 2019 July 2021Developed an application modernization program that a bank has developed and initiated as a part of being digital. Developed and delivered new features to their legacy application, resulting in improved customer satisfaction, more business and revenue over a period, and connected CI/CD for the deployment of the application, to make its deployment less risky. The bank was successfully able to setup agile teams and adopt the scrum framework.Responsibilities:Maintained databases using Python and developed Python-based API (RESTful Web Service) using Flask and Postgres SQL.Involved in development of Python based Web Services using REST for sending and getting data from the external interface in the JSON format and perform analysis using Django, and PostgreSQL.Used a CI/CD pipeline for monitoring and automation to improve the process of application development, and ML pipelines for data transformation, modelling, and prediction particularly at the integration and testing phases, as well as during delivery and deployment.Managed datasets using data frames and MySQL, queried MYSQL database queries from Python using Python-MySQL connector MySQL package to retrieve information.Used Test test-driven approach for developing the application and implemented the unit tests using Python Unit test framework and Development of Isomorphic ReactJS and Redux-driven API client applications.Developed a fully automated continuous integration system using Git, Jenkins, MySQL, and custom tools: developed in Python and Bash.Explored different implementations in data extraction and summarization by using packages and helped with the migration from the old server to the Jira database with Python scripts for transferring and verifying the information.Used Python scripts to update the content in the database and manipulate files and developed web-based applications using the Django framework with Python concepts. Executed different MYSQL database inquiries from Python utilizing Python-MySQL connector and MySQL dB bundle.VOLKSWAGEN GROUP OF AMERICAS Python Developer Oct 2016 - July 2018Developed a finance application that was related to it to keep track of all the investments done by the user and their invoicing. Most users used to upload their invoices in different file formats like Docx, and Pdfs which used to be stored in S3 buckets. This was followed by a triggering lot of lambdas as microservices the data used to be extracted from my files and stored in a relational database with the REST APIs I created.Responsibilities:Responsible for setting up Python REST API framework using DJANGO.Developed the notification service by posting the JSON request in AWS API Gateway, Validating the response in Lambda by getting the data from Dynamo DB and sending the notification through AWS SNS.Used REST Web Services for creating rate summary and used WSDL and SOAP messages for getting insurance plans from different module and used XML parsers for data retrieval.Documented company Restful API's using Swagger for internal and third-party use and worked on Unit testing and Integration testing. Wrote Python code embedded with JSON and XML to produce HTTP GET request, parsing HTML data from websites. Implemented SOAP/RESTful web services in JSON format.Consumed outer APIs and composed Restful API utilizing Django REST Framework and AngularJS. Worked on object-oriented programming (OOP) concepts using Python, Django, and Linux.Implemented TCP/IP socket programming application module which communicates data from cloud to devices and vice versa.Designed and developed a data management system using MySQL. Built application logic using Python.Developed the notification service by posting the JSON request in AWS API Gateway, Validating the response in Lambda by getting the data from Dynamo DB and sending the notification through AWS SNS.Used Python alongside using libraries like matplotlib for charts and graphs, MySQL dB for database connectivity, Python -twitter, PySide, Pickle, and Pandas data frame. Used Django APIs for database access.CVS HEALTH Software Developer Aug 2015 - Oct 2016Served as a Python developer in the product development team developing a Flask application to handle the data migration process by using Flask's routing and view functions to create different pages for data source selection, mapping, and migration execution resulting in serving with fast, security access to patient data, supporting patient care quality and business continuityResponsibilities:Designed and developed the backend of the application using Python and Flask, creating robust APIs to facilitate seamless data transfer and transformation.Leveraged HTML, CSS, and JavaScript to develop a user-friendly front-end interface, allowing users to initiate and monitor data migration processes.Utilized AWS services such as S3, Lambda, and EC2 to design a scalable and secure infrastructure for storing, processing, and managing data during migration.Integrated SQL databases to handle data storage and retrieval, ensuring data integrity and consistency throughout the migration process.Implemented SOAP APIs to establish communication with external systems, enabling data extraction and integration from diverse sources.Set up a robust CI/CD pipeline using Kubernetes and Docker, automating testing and deployment processes for consistent and reliable application updates.Developed comprehensive unit tests using PyUnit to ensure the correctness of the application's functionalities and minimize potential issues.Utilized microservices architecture to modularize components, promoting scalability and maintainability as the application evolves.Integrated Kafka for real-time data streaming, enabling efficient handling of large datasets during migration. Managed infrastructure as code using Terraform, allowing for consistent and repeatable deployment and scaling of resources.Utilized Git for version control, maintaining a well-documented codebase, and facilitating collaborative development with other team members.Educational Details:Bachelors from Anna University of Chennai, Tamil Nadu in 2007 |
