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Sr. Python Developer Resume

Columbus, IN


  • 7+ years of experience as a python/AWS Developer. Hands on Experience in AWS like Amazon EC2, Amazon S3, Amazon Redshift, Amazon EMR and Amazon SQS.
  • Over 5 years of IT experience in all phases of SDLC, along with experience in Application Development, Design, software development using Python, Client - Server based applications, testing and Big data ecosystem related technologies like Hadoop HDFS, Hive, Spark, AWS.
  • Worked with Tableau to connect with Hive Data Warehouse to represent the data in dashboards Experienced in design and development of presentation layer for web-based applications using HTML, JavaScript and JSON.
  • Publishing dashboards and data sources to Tableau Server as well as managing access, user security, refreshing of Tableau extracts etc.
  • Hands on Experience in Writing Python Scripts for Data Extract and Data Transfer from various data sources.
  • Worked with Various Distributions like Cloudera, Hortonworks, Amazon AWS.
  • Extensively worked on Spark SQL, Dataframes, RDD’s to improve the performance of the application.
  • Designed and implemented Hive and Pig for evaluation, filtering, loading and storing of data.
  • Developed web applications and RESTful web services and APIs using Python and Django.
  • Good experience in Object oriented programming concepts in Python, Django and Linux.
  • Worked on various applications using python integrated IDEs Eclipse, PyCharm, Sublime Text.
  • Extensively worked on analyzing data using HiveQL, Pig Latin.
  • Experience in JSON based REST web services and SOAP for sending and getting data for the JSON format.
  • Implemented continuous integration using Jenkins.
  • Experience in end to end design and deploy rich Graphic visualizations with Drill Down and Drop-down menu option and Parameterized using Tableau.
  • Worked with Panda data frames and MySQL, queried MYSQL database queries from python using Python-MySQL connector and MYSQL db package to retrieve information.
  • Worked with several Python libraries like NumPy, Pandas and Matplotlib.
  • Good communication, organization and interpersonal skills.
  • Worked in Agile, SCRUM process with high quality deliverables delivered on-time


Frameworks: Django, ReactJS, Django Rest Framework, Flask, Pyramid, NumPy, SciPy, Anaconda, PyCharm, TDD

AWS: S3, EC2, Elastic Beanstalk, Cloud Watch, Cloud Trail, VPC, ECS, IAM

Web Servers: Web Sphere, Web Logic, Apache Tomcat.

Web Technologies: JSP, XML, XSD, XPATH, XSLT, HTML5, UI Ajax, Web Services, REST API's.

Tools: : IDE, Selenium, Visual Studio, Docker, Kubernetes.

Programming Languages: Python, C#, C, C++.

SDLC: Waterfall, Agile, Scrum.

Databases: Oracle, MS Access, MySQL, MongoDB, Dynamo DB, Cassandra, Pig, Hive.

Bigdata Technologies: Spark, Hadoop

Version Controls: CVS, SVN, Git


Sr. Python Developer

Confidential, Columbus, IN


  • Developed classes in Business Layer and Data Access Layer in C#. Worked with marketing company to build several Django, Pyramid, NumPy, SciPy, Anaconda, PyCharm and Flask applications .
  • Amazon IAM service enabled to grant permissions and resources to users. Managed roles and permissions of users with the help of AWS IAM.
  • Advance Python coding along with GIT, Bitbucket, Mercurial, Jenkins,, iDRAC, Dockers, Confluence (for documentation), PyCharm.
  • Validating features such as SF Cluster Upgrades - SFS & DFS, VLAN Refresh, CRUX SDS, Snap Replication, Remote Replication along with iSCSI Volumes, Teaming, IO (VDBench), iDRAC & Switch port configuration.
  • Refactor feature and system tests to optimize existing tests within a new framework build in python.
  • Validating of various features of Solid Fire Defined Storage Application.
  • Diagnose, debug, and perform root cause analysis on defects
  • Document current regression suite behavior as a test case and determine coverage of specific metrics.
  • Developed Python codes using the documented test case and convert the regression suites to python codes.
  • Developed Automation code using Regular Expressions.
  • Developing Python code using PEP 8 new coding standards.
  • Using various tools like Pycharm, Pylink in order to maintain new coding standards and make debug easy with in the code.
  • Worked on data pre-processing and cleaning the data to perform feature engineering and performed data imputation techniques for the missing values in the dataset using Python.
  • Created Data Quality Scripts using SQL and Hive to validate successful das ta load and quality of the data. Created various types of data visualizations using Python and Tableau.

Environment: Python, Git, GitHub, Visual Studio IDE, MySQL, Angular.js, Pandas, Flash, PyUnit, Open Stack, HTML, CSS, JQuery, JavaScript, Apache, Jira, Linux, Git, Windows, Linux.

Sr. Python Developer



  • Used Pandas, NumPy for statistical Analysis and Numerical analysis of Insurance premium. Worked on Angular JS framework to develop interactive websites based on client needs.
  • Used Flask to connect front-end to back-end, Cherry pie to build the server and word clouds to visualize movies.
  • Wrote and maintained data extracts written in C#, and created data extracts like reading in flat files, XML, reformatted the data to generate the spread sheets using Batch Processing.
  • Wrote Python modules to extract/load asset data from the MySQL source database.
  • Used python sub-process module to call UNIX shell commands to check directories or files exists.
  • Conducted data analysis using Python libraries such as Pandas, Numpy and Matplotlib.
  • Worked with Python Django Forms to record data of online users.
  • Managed large datasets using Panda data frames and MySQL.
  • Developed Spark applications using Scala utilizing Data frames and spark SQL API for faster processing of data.
  • Designed and Developed the HiveQL scripts to load the data into HIVE database.
  • Used Git for code submissions and review process.
  • Involved in using Scala and python transformations using various Spark Actions and Transformations by Creating RDD’s from the required files in HDFS.
  • Used Django configuration to manage URLs and application parameters .
  • Responsible for writing Hive Queries for analyzing data in Hive warehouse using Hive Query Language (HQL).

Environment : Python, Drop wizard, Spring Boot, Lagom, Kafka, JSON, GitHub, LINUX, Django, Flask, Varnish, Nginx SOA, RESTful.

Python Developer/Cloud Engineer



  • Developed Python based micro service to extract the data from system of records into Enterprise Data warehousing.
  • Developed another micro service to extract AML data from Enterprise Data warehousing and push to external systems in JSON format.
  • All these batch micro services are written in Python utilizing distributed message passing via Kafka message broker with JSON as data exchange formats.
  • All these four micro services are deployed in Mesos cluster in AWS using Jenkins, Marathon, and Chronos .
  • Debugging the application and following messages in log files, to figure out the error if existing.
  • Developed monitoring application which captures the error related data and store it in database
  • Involved in storing binary data using Couchbase and CouchDB Server.
  • Involved in tokenizing the sensitive data before archiving in AWSS3 using REST based Enterprise Tokenization service, and encrypting the data before sending it over wire to external systems.
  • Assisted with development of web applications Flask, Pyramid, Django, Plone.
  • Developed Views and Templates with Python using Django ’s view controller and template language.
  • Written wrapper scripts to automate deployment of cookbooks on nodes and running the chef client on them in a Chef-Solo environment.
  • Converting production support scripts to chef, testing of cookbooks with chef-spec.
  • Used Puppet server and workstation to manage and configure nodes.
  • Responsible for large-scale Puppet implementation and maintenance. Puppet manifests creation, testing and implementation.
  • Used SVN for branching, tagging, and merging.
  • Setup Puppet master, client and wrote scripts to deploy applications on Dev, QA, production environment.
  • Built an Interface between Django and Salesforce and Django with RESTAPI.
  • Refactored existing batch jobs and migrated existing legacy extracts from Informatica to Python based micro services and deployed in AWS with minimal downtime.
  • Involved in the setting up of Micro services in HA (Highly Availability) for resiliency.
  • Used REST&SOAP to test web services.
  • Developed Database Models in PostgreSQL.
  • Developed Stored Procedures in PostgreSQL.
  • Used GitHub for Python source code version control, Jenkins for automating the build docker containers, and deploying in Mesos.
  • Performed unit testing using unit test and Nose, etc. Python unit testing frameworks.
  • Created applications for software package, software framework and hardware platform using SDK
  • Involved in service based RESTful technologies.
  • Created a web service and provided its information to the service registry and made the information regarding the web service available to any potential requester using SOA.
  • Assisted with development of internal APIs using PHP7, Laravel, and MySQL
  • Performed in page caching using Nginx, Varnish.
  • Assisted with writing effective user stories and divide the stories into SCRUM tasks.

Environment: Python, Boto3, Flask, Pyramid, Django, Plone, Docker, Mesos, SOA, REST, Chronos, Kafka, JSON, GitHub, Nginx, Varnish, LINUX.

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