Python Developer Resume San Mateo, CA - Hire IT People

PROFESSIONAL SUMMARY:

4+ years of experience with multiple technologies like Python and shell scripting.
Designed tools using python and web services like Flask.
Developed continuous integration using Jenkins and Github.
Experienced with object oriented programming (OOP) concepts using python and Linux.
Knowledge on Django, a high - level Python Web framework.
Experience with Design, code and debug operations utilizing python
Well acquainted with Software development life cycle (SDLC).
Experienced with Unit Testing creating test scripts.
Experienced in Linux shell commands and command line utilities.
Experience developing with database servers like MySQL.
Exposure working with virtual machines and containers with Vagrant, Virtual Box and Docker.
Experienced in working with Development Environments like Eclipse and PyDev.
Experience with Unit testing/ Test-driven Development (TDD) with PyUnit, PyTest modules.
Experienced in developing web-based applications using Python and JavaScript in Linux based OS.
Highly motivated, dedicated, quick learner and have proven ability to work individually and as a team.

TECHNICAL SKILLS:

Languages: Python 2.7, C, Shell script

DB: MySQL, SQLite

Web Technologies: Python requests library, Python Flask, Docker, JSON

OS: Windows, Linux, Mac OS, Oracle s Virtual Box

Development Tool(IDE): Eclipse, PyCharm, Spyder

Tools: GIT, Keil-uvision

Protocols: I2C, SPI, UART, RS232, CAN

Others: Jenkins, Strawberry Perl

PROFESSIONAL EXPERIENCE:

Confidential, San Mateo, CA

Python Developer

Responsibilities:

Worked on requests library and gathering JSON data from API’s.
Inherited code and rewrote code using advanced features like python exceptions, generators.
Wrote python scripts to parse data using Pandas Data frame and load into JSON format.
Implemented continuous monitoring via watchdog library for user file system and trigger the application in case of any event.
Used Python unit and functional testing modules like unittest2, mock and custom frameworks.
Setting up email scripts using smtplib to indicate the development activity and for notifying on any assistance deprived behavior.
Very good understanding of python request module and HTTP requests, response, headers.
Created and executed unit test plans using PyUnit for regression tests.
Used Jenkins for automated build and code coverage reports.
Used Test driven development for developing services required for the application.
Used Git for the code repositories.
Experienced with deploying the application image on Docker.

Tools: used: Python 2.7, Jenkins, Linux, JSON, Pandas Data frame, Docker, Github, HTML.

Confidential

Python Developer

Responsibilities:

Developed python scripts to feed the tables and fields on MYSQL database.
Wrote python scripts to parse XML, documents and load the data in database.
Automated most of the manual and reporting work using Python.
Wrote and executed various MYSQL database queries from python using Python-MySQL connector and MySQLdb package.
Used python modules for data analytics and computations with NumPy, SciPy.
Generated Excel based reports to give user activity and critical data.
Worked on object oriented programming with python.
Used the Django Framework to develop the application.
Involved in developing and writing test cases for the application.
Knowledge on JSON and simple JSON based web-services.
Used Git for the version control.

Tools: used: Python 2.7, Git, Django Framework 1.3, Linux, REST API, MySQLdb

Confidential

Software Engineer

Responsibilities:

Experience in web scraping with BeautifulSoup and html parser for data cleaning and data visualization.
Involved scraping python on web servers of remote routers to monitor logs for fault detection involving scraping through HTML and JSON pages.
Used urllib2 and requests library to scraping data in JSON format and processing it using Python library (json) for extracting the data.
Developed PyUnit test scripts for testing the code for increasing efficiency.
Developed tools using Python, Shell Scripting, XML to automate some of the tasks.

Tools: used: Requests Library, BeautifulSoup, JSON, Linux.