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Python Developer Resume

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Scottsdale, AZ

SUMMARY:

  • Accomplished software developer with 5 years of experience in Analysis, Design, Development and Implementation of software development life cycle.
  • Excellent Good Experience with Python web frameworks Django and Flask .
  • Apache Spark Data Frames were used to apply business transformations and utilized Hive context objects to perform read/write operations.
  • Have work experience with various Python Integrated Development Environments like Visual Studio code and sublime text.
  • Experienced in developing User Interface using HTML5, CSS3, JavaScript, React, JSON and AJAX .
  • Experienced in developing applications using Agile Methodologies and Scrum stories in a python - based environment.
  • Excellent knowledge of NOSQL on Mongo DB and Cassandra DB.
  • Knowledge in Model View Controller (MVC) frameworks .
  • Installed various packages in python using pip and easy install .
  • Experience in working with different operating systems like LINUX and WINDOWS .
  • Experience in handling REST Web Services .
  • Experience in using various version control systems like Gitlab .
  • Having knowledge on deploying applications by using Jenkins that provides Continuous Integration and Continuous Deployment .
  • Design and maintain databases using Python and developed Python-based API (RESTful Web Service) using Django models and PostgreSQL .

PROFESSIONAL EXPERIENCE:

Confidential, Scottsdale, AZ

Python Developer

  • Designed front end and backend of the application utilizing Python on Django Web Framework.
  • For the development of the user interface of the website used HTML, CSS, JavaScript.
  • Experience in developing views and templates with Python and Django's view controller and templating language to create a user-friendly website interface .
  • Created React JS components using JSX and Virtual DOM Followed Redux Architecture for unidirectional data flow and manage the data in React and Make HTTP requests in React & Redux.
  • Modify the existing Python/Django modules to deliver certain format of data .
  • Wrote client Side code using React JS and used Python and Django to generate the server environments.
  • Have work knowledge on JIRA(Agile) for the bug tracking of the project .
  • Worked on deployment on AWS EC2 instance with Postgres RDS and S3 file storage
  • Used Django-celery with the help of RabbitMQ message broker for large processing
  • Worked on Python scripts to parse JSON documents and load the data in database .
  • Build SQL queries for performing various CRUD operations .
  • Developed full stack Python web framework with an emphasis on simplicity, flexibility, and extensibility .
  • Worked on AWS Cloud Platform and its features which includes EC2, S3, EBS
  • Integrated Redis-Cache with Django Rest Framework for reading the data faster.
  • Implemented the application in LINUX environment and comfortable with all its commands.
  • Involved in Design, Development, Deployment, Testing, and Implementation of the application .

Confidential, Seattle, WA

Python Developer

  • Built codebase for natural language processing and artificial intelligence and machience learning framework.
  • Involved in building data pipelines that extract, classify, merge the deliver new insights on the data.
  • Designed the Artificial intelligence and machine learning data pipeline for regular monitoring and performance evaluation of the deployed ML models.
  • Designed machience learning algorithm using Python for facial recognition.
  • Tested with various Machine learning algorithm as support vector Machine, Random Forest, Trees with XGBoost concluded decision tress as champion model.
  • Worked on machine learning, data mining and statistical techniques to create new, scalable solutions for business problems.
  • Used Pandas, Numpy, Seaborn, SciPy, Matplotlib in python for developing machine learning algorithms and utilized machine learning algorithms such as linear regression, multivariate regression, naive bayers, K-means, and KNN data analysis.

Confidential

Python Developer

  • Involving in creating data frames in Hadoop system, Spark using PySpark and then applying Hive/SQL queries into Spark transformations using Spark RDDs, Python libraries.
  • Working on AWS which includes Amazon Simple Storage Service, Spark Streaming, PySpark and Spark SQL on top of Amazon EMR clusters.
  • Developed PySpark scripts to transform sqoop data and load it into hive final tables.
  • Developed unit test cases for PySpark jobs using Pytest framework.
  • Created generic python modules for various spark operations.
  • Developed Sqoop jobs for importing and exporting data from Oracle.
  • Extensively worked in fine tuning hive and spark jobs by tuning performance using varios parameters.
  • Designed and implemented data check and data quality framework in PySpark during the initial load process and the final publish stages.
  • Designed and implemented system architecture for Amazon EC2 based cloud-hosted solution.
  • Developed Pyspark application for reading and filtering JSON source data and store it.

Confidential

Python Developer

  • Designed back-end of the application utilizing Python on Django web framework.
  • Experience in developing views and templates with Django’s view controller and template.
  • Have knowledge on JIRA for bug tracking of the project.
  • Used Django configuration to manage URLs and application parameters.
  • Utilized Jenkins to deploy the Django application and run unit tests.
  • Rewrote exsisting Python/Django modules to deliver data in desired format.
  • Develop consumer-based features and applications using Python and Django.
  • Implemented Sessions and Cookie logic to achieve uninterrupted user experience
  • Designed the front end of the application using Python.
  • Skilled in using collections in Python for manipulating and looping through different user-defined objects.
  • Knowledge of data structures, algorithms, OO design, web application design.
  • Experience in writing complex database queries, stored procedures, and triggers using PostgreSQL, MySQL, Mongo DB.
  • Maintained the versions using GIT and sending the release notes for each release

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