SUMMARY

• Around 8 years of IT Experience in designing, developing, testing, and implementing of various stand - alone and client-server architecture-based enterprise application software in Python on different domains.
• Skilled experience in Python with proven expertise in using new tools and technical developments (libraries used: libraries- Beautiful Soup, Jasy, NumPy, SciPy, matplotlib, Pickle, PySide, python-twitter, Pandas, networks, urllib2, MySQL dB for database connectivity).
• Experience inGolang, Infrastructure Teams and Engineering Productivity utilizing Kubernetes, Docker, influx dB Ansible, Spinnaker.
• Proficient in programming languages/single page applications such as Python,HTML5, Java, JavaScript, jQuery, CSS3.
• Good experience in developing web applications implementing Model View Control architecture using Django, Flask, Pyramid and Zope Python web application frameworks.
• Experience object-oriented programming (OOP) concepts using Python.
• Excellent experience in Python development under Linux OS (Debian, Ubuntu, SUSE, RedHat Linux, Fedora)
• Used all major ETL transformations to load the tables through Informatica mappings.
• Experience in developing a fully automated continuous integration system using Git, Jenkins, MySQL and custom tools developed inPythonandBash.
• Good Experience with Django, a high-level Python Web framework.
• Knowledge about setting up Python REST API framework using Django.Experience in working with Python ORM Libraries including Django ORM.
• Worked on various operating systems like Windows, UNIX and LINUX.
• Communication skills, efficient time management and organization skills, ability to handle multiple tasks and work well in team environment.

PROFESSIONAL EXPERIENCE

Sr. Python Developer

Confidential - Boston, MA

Responsibilities:

• Responsible for system analysis, design, development, testing and deployment.
• Responsible for developing user interfaces pages using Angular 4/5/6 along with HTML5, CSS3, JavaScript,NodeJS, Typescript, Bootstrap and RxJS library.
• Participating in the complete SDLC process.
• Used AWS for application deployment and configuration. Responsible for setting up REST APIs using Django.
• Worked with Kubernetes to orchestrate the deployment, scaling and management of Docker Containers.
• Working as an application developer experienced with Perl, BDD, PL/SQL, controllers, views and models in Django and Linux Shell Scripting - Bash and Python scripting.
• Developed responsive web product features using React JS, SASS, onGolangwith REST.
• Developed internal auxiliary web apps using Django framework with Angular.js and Bootstrap CSS3 / HTML5 framework.
• Utilized Agile process and JIRA issue management to track sprint cycles.
• Developed ETL pipelines in and out of datawarehouses using a combination of Python and s SnowSQL Writing SQL queries against Snowflake.
• Worked on Amazon EMR for processing BigData implementing tools like Hadoop,Spark, and Hive.
• Design and maintain databases using Python and developed Python based API(RESTful Web Service) using Flask,SQL Alchemy and PostgreSQL.
• Built relational databases in MySQL and integrated with application for data storage, developedSQLqueries with SQL Alchemy, used to communicate between Python programs and database.
• Writing modules in Python to connect to PostgreSQL and doing CRUD operations with PostgreSQL.
• Interacted with MongoDB using Node.jsmodules like MongoDB and Mongoose for database persistence.
• AWS Kinesis Streams, AWS Step Functions (Serverless) Pipelines, AWS Kinesis Streams, Google TensorFlow, AWS Step Functions (Serverless) Pipelines, AWS Kinesis Streams, AWS Kinesis Streams Data Analytics Streaming SQL (AWS EKS) Pipelines.
• Designed and developed APIs to share data with cross functional teams using Hug and FastAPI frameworks.
• Designing and implementing theCI/CDarchitecture and automation solutions using GITHUB, Bitbucket, Jenkins, Ansible Tower. Deploying to production environment inAWS using terraform.
• Used Git version control and deployed project to Heroku. Used Git to resolve and coding the work on python. Used Ajax and jQuery for transmitting JSON data objects between frontend and controllers. Developed Wrapper in Python for instantiating multi-threaded application.
• Implemented Terraform to manage the AWS infrastructure and managed servers using configuration management tools like Chef and Ansible.
• Developed Python and Django for the backend development and front-end application using React, Webpack, Redux, and ES6/7 and PostgreSQL for the database.
• Developed data transition programs from DynamoDB to AWS Redshift (ETL Process) using AWS Lambda by creating functions in Python for the certain events based on use cases.
• Created a full web stack using AWS Infrastructure (Beanstalk, multiple lambdas, Amazon Aurora, API Gateway etc) to create a fully functioning API using GraphQL technology with multiple data sources.
• Performed Data mapping between source systems to Target systems, logical data modeling, created class diagrams and ER diagrams and used SQL queries to filter data.
• Build SQL queries for performing various CRUD operations like create, update, read and delete.
• Implementing a CI/CDpipeline involving GitLab, Docker and Jenkins for complete automation from commit to deployment.Skilled with Unix/Linux command-line and bash shell.
• Worked on application using python integrated IDEs like Eclipse, IntelliJ, Sublime Text and PyCharm.
• Developed frontend and backend modules usingPythonon Django including Tastypie Web Framework using Git & Github.
• Develop Django apt on AWS Services including EC2, S3, ELB, EBS,IAM, AMI, Lambda functions, Security Groups and Boto3.
• Designed a python script to load transformed data into cloud services (AWS andGCP).
• Performed exploratory data analysis for further predictive analytics using Python Pandas.
• Used Python Flask framework to build modular and maintainable applications.
• Used Numpy, Pandas,Pytorchand other libraries to work with large data sets and threading limitations, multi-process architecture.
• Implemented PySpark using Python and utilizing data frames and temporary table SQL for faster processing of data.

Environment: Windows, Python, libraries - (NumPy, SciPy, Pandas, SNMP, PyCharm, PyQuery, Matplotlib), SQL Alchemy, MVC, Linux Suse, Kubernetes, Kafka, Shell Scripting, JSON, Apache Web Server, SQL, UNIX.

Python Developer

Confidential - Atlanta, GA

Responsibilities:

• Involved in analysis, specification, design, and implementation and testing phases of Software Development Life Cycle (SDLC) and used agile methodology for developing application.
• Developed entire frontend and backend modules using Python on Django Web Framework.
• Developed Python based API (RESTful Web Services) to track the events and perform analysis using Django.
• Maintained and developed Docker images for a tech stack including Cassandra, Apache, and several in house writtenpythonservices running in Google Cloud Platform (GCP) on Kubernetes.
• Developed and executed White box test cases using Python, Unitest/Pytest/Robot framework & PyCharm/Ride.
• Developed data preprocessing pipelines for data like DICOM and NONDICOM images of XRAYS, CT-SCANS etc.
• Developed automated testing framework for command-line based tests on Linux using Objected Oriented Perl and forselenium-based tests usingPython.
• Worked on Relational Databases (RDBMS) like SQLite, MySQL and PostgreSql andNoSQL DBs like MongoDB.
• Worked on Creating Airflow Scheduling scripts in Python. Created job flow using Airflow in Python language and automated jobs.
• Designed and developed APIs to share data with cross functional teams using Hug andFastAPIframeworks.
• Involved in developing the methods for Create, Read, Update and Delete (CRUD) in Active Record.
• Worked on CI/CD methodologies (Git, Jenkins) usingGCPnative tools (Cloud Build, Cloud Source Repository) in an Agile Environment.
• Designed and developed the UI of the website using HTML5, CSS3 andJavaScript.
• Used Go Programming Language (Golang)and Scala in the development of the application.
• Gathered Semi structured data from S3 and relational structured data from RDS and keeping data sets into centralized metadata Catalog using AWS GLUE and extract the datasets and load them into Kinesis streams.
• Worked closely with Devops team to set up CI/CD pipeline using Jenkins, Ansible, AWS, Maven and GIT.
• Developed ETL/ELT datapipeline and workflows using python API(PySpark) of Apache Spark on AWS Redshift that extract transform and load data into Snowflake cloud datawarehouse.
• Involved in Developing a Restful API'S service using Python Flask framework.
• Installed data sources like SQL-Server, Cassandra and remote servers using the Docker containers as to provide the integrated testing environment for the ETL applications.
• Designed apythonscript to load transformed data into cloud services (AWS andGCP).
• DevelopedPythoncode to gather the data from and designs the solution to implement using PySpark.
• Created a full web stack using AWS Infrastructure (Beanstalk, multiple lambdas, Amazon Aurora, API Gateway etc) to create a fully functioning API using GraphQL technology with multiple data sources.

Environment: Windows, Python, libraries - (NumPy, SciPy, Pandas, SNMP, PyCharm, PyQuery, Matplotlib), SQL Alchemy, MVC, Linux Suse, Kubernetes, Kafka, Shell Scripting, JSON, Apache Web Server, SQL, UNIX.

Software engineer

Confidential - Seattle, WA

Responsibilities:

• Involved in analysis, specification, design, and implementation and testing phases of Software
• Implemented business logic using Python Web framework Django.
• Developed modules using React as a view engine to build component-based application.
• Used Pyspark, SparkSQL in making pipelines to extract data coming from MDL in spark environment.
• Used Angular JS as framework to create a Single Page Application (SPA) which can bind data to specific views and synchronize data with server.
• Tested entire frontend and backend modules using Python on Django Web Framework.
• Restful web services using Python REST API Framework.
• Worked on with severalpythonlibraries like MatPlotLib,PyTestand Selenium.

Environment: Python, Pytest, Pylint, Microsoft Visual Studio, Microsoft Test Manager, See Test Automation Tool, and TFS.