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Senior Python Developer Resume

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AZ

SUMMARY

  • Full Stack Python developer with 8+ years of experience in Information Technology, with specializing web application development and API development using python based technologies and frameworks.
  • Experienced with full software development life - cycle, architecting scalable platforms, object oriented programming, database design and agile methodologies
  • Experienced in MVC frameworks like Django, Flask, FastAPI.
  • Experience in using object-relational mapper (ORM) library to automates the transfer of data stored in relational databases tables into objects.
  • Well versed with design and development of presentation layer for web applications using technologies like Django, HTML, CSS, and JavaScript.
  • Experienced in Python's modules Numpy, Matplotlibetc for generating complex graphical data, creation of histograms etc.
  • Experienced in MVW frameworks like Flask/Django.
  • Expert knowledge in Object Oriented Design (OOD) and Programming concepts and frameworks using Django.
  • Experience object oriented programming (OOP) concepts using Python with frameworks with Django, Flask and FastAPI.
  • Experienced in WAMP (Windows, Apache, MYSQL, and Python/PHP) and LAMP (Linux, Apache, MYSQL, and Python/PHP) Architecture.
  • Strong knowledge of Data Warehousing implementation concept in RedShift.
  • Experience in working on automation framework using cypress and making necessary improvements as needed.
  • Expertise in Informatica ETL and reporting tools. Deep understanding of the Data Warehousing SDLC and architecture of ETL, reporting and BI tools.
  • Expertise in Python Development and Scientific Programming and using NumPy and Pandas in Python for Data Manipulation.
  • Experience in AWS Cloud platform and its features which includes EC2, AMI, EBS CloudWatch, AWS Config, Auto-scaling, IAM user management, AWS S3, AWS Lambda.
  • Experienced in Hadoop Ecosystem including Hive, HDFS, MapReduce, and PySpark.
  • Experience in Moving Data in and out of Windows Azure SQL Databases and Blob Storage.
  • Experienced in writing PERL script to extract data from text files, web automation and converting the file formats.
  • Experience in writing Sub Queries, Stored Procedures, Triggers, Cursors, and Functions on SQL and PostgreSQL database.
  • Developed CI/CD system with Jenkins, utilizing Jenkins for the runtime environment for the CI/CD system to build and test and deploy.
  • Worked in agile and waterfall methodologies with high quality deliverables delivered on-time.
  • Experience with Unit testing/ Test driven Development (TDD), Load Testing.

TECHNICAL SKILLS

Languages: Python 3.5/2.7, Python with Django, Java, C, SQL, Shell Scripting

Frameworks: Django, Flask, FastAPI

Databases: Oracle, SQL, SQL Server, Teradata, MongoDB

Web Technologies: AJAX, JSON, JavaScript, PERL, JQuery, HTML, XML, CSS, XSLT, Bootstrap

Web Services: SOAP, RESTful, MicroServices

IDES/Tools: PyCharm, Sublime Text, Spyder, Emacs, NetBeans, Eclipse

Cloud Platforms: Azure, Amazon web services (AWS)

Operating Systems: Linux, Unix, Windows 10, 08, 07, XP

Python Libraries: Beautiful Soup, Numpy, SciPy, Matplotlib, Pandas data frame

Version Control Systems: Git, GitHub

SDLC: Agile methodologies, scrum framework

PROFESSIONAL EXPERIENCE

Confidential, AZ

Senior Python Developer

Responsibilities:

  • Worked on development of customer support and complains registration system.
  • Migrated the application from Python 2.6 to Python 3.4.
  • Corrected the syntax, used fully qualified names, removed and replaced deprecated functions and modules.
  • Coding and execution of scripts in Python/Unix.
  • Recording of Scripts (Web, Web Services HTML) using VUGen and SoapUI and script validation through co correlations, parameterizations and other methods. Scripting - web and web services Data set up using SQL/ORACLE/Teradata.
  • Worked on Cassandra Data modelling, NoSQL Architecture, DSE Cassandra Database administration.
  • Used SED a UNIX utility in various shell scripts.
  • Developed entire frontend and backend modules using Python on Django Web Framework by implementing MVC architecture.
  • Creating RESTful web services for catalog and Pricing with Django MVT, MySQL, and MongoDB.
  • Developed various API’s for Django applications using Django-tasty pie.
  • In-Depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming with PySpark and PANDA library.
  • Used Pandas API to put the data as time series and tabular format for east timestamp data manipulation and retrieval.
  • Used Django & Flask framework for API creation and application development.
  • Created RESTful web services for Catalog and Pricing with Django MVT, MySQL, and MongoDB.
  • Implemented web applications in Flask framework following MVC architecture.
  • Extensively used Autosys and Tidal for scheduling the UNIX shell scripts and Informatica workflows.
  • Building scenario analysis using time series plots in SAS Visual Analytics.
  • Worked on MongoDB database concepts such as locking, transactions, indexes, Sharding, replication, schema design.
  • Built numerous lambda functions using python and automated the process using the event created.
  • Worked on lambda for security performance in backend through AWS Scale performance, which is used for SQS.
  • Implemented monitoring and established best practices around using Elasticsearch and used Aws lambda to run code without managing servers.
  • Running load/endurance tests using VUGen, ALM and controller, server monitoring, analysis using Dynatrace, UNIX putty, SQL logs and other tools and reporting the performance. Analysing errors and exceptions using putty logs (UNIX), etc.
  • Worked with NoSQL databases like Mongo in creating tables to load large sets of semi structured data coming from various sources.
  • Implemented Spark using PySpark libraries for faster testing and processing of data.

Environment: Python, Django, Django-CMS, Flask, Pandas,SoapUI, SQL, Oracle, Teradata, PySpark, UNIX putty, SQL logs, MongoDB, JavaScript, HTML5, CSS3, Agile, JavaScript, Eclipse, WebLogic, Git, GitHub, Junit, UML, JSP, Xml.

Confidential, Tempe, AZ

Python Developer

Responsibilities:

  • Developed the application front-end using HTML, CSS, JavaScript, Bootstrap, Django framework.
  • Worked on the creation of custom Docker container images, tagging and pushing the images.
  • Performed form validations on the UI using Django framework.
  • Worked for creating efficient design and developing User Interaction screens using HTML5, CSS3, ReactJS, Material, Bootstrap, JavaScript, AJAX and JSON
  • Used several Python libraries such as SciPy, NumPy and Matplotlib
  • Used Bash and Python, included Boto3 to supplement automation provided by Ansible and Terraform for tasks such as encrypting EBS volumes backing AMIs and scheduling Lambda functions for routine AWS tasks.
  • Developed the required XML Schema documents and implemented the framework for parsing XML documents.
  • Developed various API’s using FastAPI and Django.
  • Used Django configuration to manage URL’s and application parameters
  • Generated Python Django forms to record data of online users and used PyTest for writing test cases.
  • Used Amazon Web Services (AWS) for improved efficiency of storage and fast access.
  • Developed and implemented core API services using FastAPI in Python.
  • Developed various Python scripts to find vulnerabilities with SQL Queries by doing SQL injection, permission checks, and performance analysis.
  • Developed scripts to migrate data from the proprietary database to PostgreSQL.
  • Creating S3 buckets and also managing policies for S3 buckets and Utilized S3 bucket and Glacier for storage and backup on AWS.
  • Setup and build AWS infrastructure various resources, EC2, S3, EBS, CloudWatch and lambda in Cloud Formation JSON templates.
  • Developed REST Microservices which are like API’s used for Home Automation. They also keep the data in synchronization between two database services.
  • Configuring auto scalable and highly available microservices set with monitoring and logging using AWS, Docker, Jenkins and Splunk
  • Designing, implementing, and maintaining solutions for using Docker, Jenkins, Git, and Puppet for microservices and continuous deployment.
  • Used automation Jenkins for continuous integration on Amazon EC2.
  • Deployed the project into Heroku using GIT version control system

Environment: Python, Django, ReactJs, HTML5, CSS3, Flask, Bootstrap, NumPy, FastAPI, Boto 3, AWS, PyTest, AJAX, JSON, JavaScript, PostgreSQL, Heroku, Agile, Windows.

Confidential, Dallas, TX

Python Developer

Responsibilities:

  • Involved in the software development lifecycle (SDLC) of tracking the requirements, gathering, analysis, detailed design, development, system testing and user acceptance testing.
  • Attended Daily Scrum meetings to provide update on the progress on daily activities to the Scrum Master and to notify blocker and dependency if any.
  • Performed data processing using Python libraries like NumPy and Pandas.
  • Used python Data structures like sqlite3, Dictionaries, Tuples ex...
  • Developed APIs to surface ML models with GraphQL and Flask.
  • Developed entire backend modules using Python on Django Web Framework.
  • Developed Restful Microservices using Flask and Django and deployed on AWS servers using EBS and EC2.
  • Created an AWS lambda architecture to monitor AWS S3 Buckets and triggers for processing source data.
  • Involved in Developing a Restful service using Python Flask framework.
  • Analysis the logs data and filter required columns by Logstash configuration and send it to elastic search.
  • Handled Business logics by backend Python programming to achieve optimal results.
  • Implementing admin sites to manage database information with Flask Admin, MySQL and SQLite.
  • Involved building Hadoop platforms, maximizing business value by combining data science with big data.
  • Generated various graphs for business decision making using Python matplotlib library.
  • Tested various regular expressions in URL Dispatchers in Django.
  • Design and maintain databases using Python and developed Python based API (RESTful Web Service) using Flask, SQL Alchemy, and PostgreSQL.
  • Developed internal auxiliary web apps using Python Flask framework with CSS / HTML framework.
  • Developed and implemented core API services using Python.
  • Involved in Developing a Restful service using Python Flask framework.
  • Created PyUnit test scripts and used for unit testing.

Environment: Python 3.x, Django, Selenium, Flask, Pandas, Git, DynamoDB, NumPy, matplotlib, MySQL, SOAP, REST, PyCharm, Docker, AWS.

Confidential

Python Developer

Responsibilities:

  • Responsible for gathering requirements, system analysis, design, development, testing and deployment.
  • Developed tools using Python, Shell scripting, XML to automate some of the menial tasks. Interfacing with supervisors, artists, systems administrators and production to ensure production deadlines are met.
  • Developed Business Logic using Python on Django Web Framework.
  • Designed and developed the UI of the website using HTML, AJAX, CSS and JavaScript.
  • Designed and developed data management system using MySQL.
  • Write scripts using python modules and its libraries to develop programs that improve processing of access requests.
  • Build API services with REST endpoints using Flask framework.
  • Utilized PyUnit, the Python Unit test framework, for all Python applications and used Django Database API's to access database objects.
  • Overseen a number of Sub-Ledger reconciliations across differentASSET/LIABILITYclasses and be able to handle all day-to-day inquiries from numerous downstream stakeholders
  • Used PyQuery for selecting particular DOM elements when parsing HTML.
  • Designed and created backend data access modules using PL/SQL stored procedures and Oracle.
  • Worked in an agile development environment.
  • Involved in development of Web Services using SOAP for sending and getting data from the external interface in the XML format.
  • Designed object model, data model, tables, constraints, necessary stored procedures, functions, triggers, and packages for Oracle Database.
  • Used Django configuration to manage URLs and application parameters.

Environment: Python, C++, Django, Jenkins, Pandas, Grafana/Graphite, GCP, MySQL, No Sql, Linux, HTML, CSS, jQuery, JavaScript, Apache, Linux, Git, Eclipse, Pytest, Oracle 10g.

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