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Full Stack Developer Resume

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SUMMARY

  • Good experience in Agile development practices.
  • Capable of working as an individual contributor or as part of team in all phases of development lifecycle.
  • Excellent knowledge in Software Development Life Cycle SDLC Metrics dat includes requirements gathering, functional and technical specifications, design, development, testing and production deployment.
  • Expertise in creating initial website prototype from Django skeleton and building out Views, Templates using CSS for whole site following Django MVT architecture.
  • Experience working knowledge in UNIX and Linuxshell environments using command line utilities.
  • Strong experience in developing Web Services like SOAP, REST, Restful with Python programming language.
  • Experience of using Python modules like NumPy, Matplotlib, Pickle, Pandas, SciPy, wxPython, PyTables, PyQt, etc., for generating complex graphical data, creation of histograms, etc.
  • Good experience in developing web applications implementing Model View Control architecture usingDjango, Flask, and springweb application frameworks.
  • Strong expertise in development of web based applications usingPython, HTML, XML, KML, Angular JS 2/6/7, CSS, DHTML, JavaScript, JSONandJQuery.
  • Hands on experience with JIRA for bug tracking and communicating for better results Strong Experience in Big data technologies including Apache Spark, Hadoop, HDFS, Hive, MongoDB.
  • Performed numerous server migrations on bothLinux and Windowsservers. Migrations include moving all clients and their data, configuration settings, testing and verifying.
  • Documentation of Architecture, Design and Operational procedures.
  • Proficient in writingSQLQueries, Stored procedures, functions, packages, tables, views, triggers using relational databases likeOracle, MySQL and MSSQL Server.
  • Complex problem - solver with analytical and driven mindset. Dedicated to achieving demanding development objectives according to tight schedules while producing impeccable code.

TECHNICAL SKILLS

Operating Systems: Linux, Windows 10/8/7/Vista/XP, Mac, IBM OS/2 Warp, Sun Solaris.

Programming Languages: Python, Go Language, Scala, HTML/HTML5, CSS/CSS3

Python Libraries: Requests, Scrapy, wxPython, Pillow, SQL Alchemy, Beautiful Soup, Twisted, NumPy, SciPy, matplotlib, Pygame, Pyglet, PyQT, PyGtk, Scapy, Pywin32, ntlk, Nose, SymPy, Ipython

Web technologies: HTML, CSS, XHTML, Java Script, jQuery.

Databases: MySQL, Oracle, Microsoft SQL, PostgreSQL, MongoDB.

Web frameworks: Django, Pyramid, Flask, web2Py, Tornado, Apache Hadoop, Django Web Framework, Angular JS 2/6/7 Web Framework, Robot Framework, Amazon Web Services, NumPy, Pandas, Matplotlib, PySide, SciPy.

Big Data Ecosystems: Hadoop, HDFS, Hive, Pig, Sqoop, AWS, CloudWatch, S3, Redshift Spectrum, Athena, Glue, AWS RedShift, DataBricks, Scala, Spark SQL, Zeppelin.

Development IDE: PyCharm, Pydev Eclipse, Vim, Net beans, MS Visio, Sublime Text, Notepad++.

Web Services: SOAP, RESTful.

Automation Tools: doit, Buildbot, Chef, Puppet, Ansible, Docker

Bug Tracking Tools: Bugzilla, JIRA, HP ALM/Quality Center, IBM Rational ClearQuest

Version Control: Git-Hub, Sub Version.

Build Tools: GNU, Apache Ant, Apache Maven, Buck, Bit-Bake, Boot, Grunt.

PROFESSIONAL EXPERIENCE

Confidential

Full Stack Developer

Responsibilities:

  • Designed and maintained databases using Python and developed Python-based API (RESTful Web Service) using Flask, SQL Alchemy, and PostgreSQL.
  • Involved in designing and developing Amazon EC2, Amazon S3, Amazon RDS, Amazon Elastic Load Balancing, Amazon SWF, Amazon SQS, and other services of the AWS infrastructure.
  • Modified queries, functions, cursors, triggers and stored procedures for GraphQL database to improve performance, while processing data.
  • Designed and managed public/private cloud infrastructures using Confidential Web Services (AWS) which includeEC2, S3, Cloud Front, Elastic File System,RDS, VPC, Direct Connect, Route53, Cloud Watch, Cloud Trail, Cloud Formation,and IAM which allowed automated operations.
  • Deployed Cloud Front to deliver content further allowing reduction of load on the servers.
  • Created IAM policies for delegated administration within AWS and ConfigureIAM Users Policiesto grant fine - grained access to AWS resources to users.
  • Improved infrastructure design and approaches of different projects in the cloud platform Confidential Web Services (AWS) by configuring the Security Groups, Elastic IP's and storage onS3Buckets.
  • Performed troubleshooting, fixed and deployed many Python bug fixes of the two main applications dat were a main source of data for both customers and internal customer service team.
  • Managed metadata alongside the data for visibility of where data came from, its linage to ensure and quickly and efficiently finding data for customer projects using AWS Data lake and its complex functions like AWS Lambda, AWS Glue.
  • Extensive code reviewing usingGitHubpull requests, improved code quality, and conducted meetings among peer.
  • Responsible for system debugging in lab, performance improvement for customer issues and field trials. Solved numerous customer issues.
  • Designed the Data Pipeline which can capture data from streaming web data as well as RDBMS source data.
  • Conducted weekly meetings with the development and testing team to relay any changed requirements and updates on the development and testing.

Confidential

Senior Python Developer

Responsibilities:

  • Developed ETL test scripts based on technical specifications/Data design documents and Source to Target mappings.
  • Managed sequencing, error handling, retry logic, and state, removing a significant operational burden from team using step function.
  • Involved in designing and deploying multiple applications utilizing almost all the AWS stack (Including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto- scaling in AWS Cloud Formation.
  • Worked closely with management, architects and data scientists teams to ensuring the quality of the overall solution both the architecture and the choice of technologies and approaches
  • Provided both visual and code-based interfaces to make data integration easier where users can easily find and access data using the AWS Glue Data Catalog.
  • Provided all of the capabilities needed for data integration so dat you can start analyzing your data and putting it to use in minutes instead of months.
  • Worked with Amazon Web Services (AWS) using EC2 for hosting and Elastic map reduce (EMR) for data processing with S3 as storage mechanism.
  • Optimized services using NodeJS, ES6 as interfaces to Cassandra NoSQL database and programmed and prepared code for interfacing with Apache Tomcat systems.
  • Developed a Python Script to load the CSV files into the S3 buckets and created AWS S3buckets, performed folder management in each bucket, managed logs and objects within each bucket.
  • Configure, monitor, and automate Amazon Web Services as well as involved in deploying the content cloud platform on Amazon Web Services using S3 and EBS

Confidential

Python Developer

Responsibilities:

  • Analyzed web service layer to integrate with Bank's new initiative to electronically pay from Kiosks by using technologies like Django, MySQL, Glue, Lambda.
  • Worked closely with the Project Manager and Salesforce Architects to bring the best use cases for development and deployments.
  • Orchestrated entire frontend and backend modules using Python on Django Web Framework. Worked on designing, coding, and developing the application in Python using Django MVC.
  • Created customized AMIs based on already existing AWS EC2 instances by using create image functionality, hence using this snapshot for disaster recovery.
  • Worked on AWS cloud watch for monitoring the application infrastructure and used AWS email services for notifying & configured S3 versioning and lifecycle policies to and backup files and archive files in Glacier.
  • Designed User Interfaces using JQuery, Bootstrap, JavaScript, CSS3, XML and HTML5. Created a Handler function in Python using AWS Lambda dat can invoke when the service is executed. Developed Business Logic using Python on Django Web Framework.
  • Handled operations and maintenance support for AWS cloud resources which includes launching, maintaining and troubleshooting EC2 instances, S3 buckets, Virtual Private Clouds (VPC).
  • Developed CI/CD system with Jenkins on Kubernetes container environment, utilizing Kubernetes and Docker for the runtime environment for the CI/CD system to build and test and deploy.

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