Python Developer Resume

PROFESSIONAL EXPERIENCE

Python Developer

Confidential

Responsibilities:

Perform Python development for trading and booking system inherent to the financial institution’s internal system.
Perform Python unittest and code peer review for source control repository maintenance as well as continuous integration deployment.
Integrated with Oracle database backend to develop and verify unittests.
Work in Agile environment to perform Python2 to Python3 migration using unittest development and continuous integration.
Perform Linux system maintenance to host development applications in Redhat environment.

Python Developer

Confidential

Responsibilities:

Performed geospatial development in Python and ArcGIS to develop road closure online dashboard application for emergency responders.
Developed the Python backend framework to communicate with Oracle database, export data into Pandas dataframes and interface with Arcpy library to genocode data.
Developed functionality to statistically analyze dataframe using Pandas and Numpy statistical features.
Developed restful API to communicate with ArcGIS Online Server to communicate data.
Developed Windows Service application with Python to perform data uploads at specific intervals.
Developed and enhanced frontend dashboard with ArcGIS Javascript API and ArcGIS Online to display geospatial data in a reactive dashboard environment.

Engineering Professor

Confidential

Responsibilities:

Serve as assistant faculty member in the Construction Management and Civil Engineering Department at the Confidential of Technology. Prepare and present lecture material for undergraduate civil engineering courses in fluid mechanics and land surveying. Prepare and conduct laboratory experiments, and grade student assignments and exams.
Conduct analytical academic research using Python object relational models, network connection and data analysis. Research involves connectivity to remote data sources using network protocols with urllib, Beautifulsoup, asyncio, and websocket connection. Data analysis for these data sources uses packages such as Pandas, Numpy, Scipy and Pyspark machine learning on AWS EC2 Service to generate meaningful data insights and regression analysis.
Setup research and development server to run Python web - service in Django with Postgres database server, big data applications on Hadoop data cluster and run Scala applications within Pyspark, SQL and NoSQL applications within Pymongo. Setup and run microservices in a Python backend. Run research applications to access HDFS from Pyspark programs and perform queries on HDFS with Pymongo.
Setup ESRI ArcGIS online maps to retrieve, display and store engineering research data. Developed Javascript frontend to interact with user and communicate with backend databases and server applications to perform data queries and data analysis on a web application.