Shah

About Shah

Around 5 years of professional experience as a Python Developer, coded in multiple languages and experience in Design, Development, Implementation of Python, Django, Flask, Pyramid and client - server technologies-based applications, RESTful services, AWS, C, C++, JAVA and SQL.TECHNICAL SKILLSLanguages: Python 2.x/3.x, Go Language, Java, Scala, C, C++, SQL, PL/SQL, HTML/HTML5, CSS/CSS3.Operating Systems: Cent OS, UNIX/LINUX, Windows, Sun Solaris, Mac OSAutomation Tools: Docker, Chef, Puppet, Ansible, Jenkins.Frameworks: Django, Flask, Tornado, Twisted, Pyramid.Content Management Systems (CMS): WordPress, Drupal, JoomlaDatabases: RDBMS (MySQL, Oracle), NoSQL (MongoDB, Cassandra), PostgreSQL, SQLite.Cloud Services: Amazon Web Services (AWS), Microsoft Azure, Rackspace.Big Data and Hadoop: HDFS, HQL, Pig, Hive, Impala, Zookeeper, Flume, Oozie, Sqoop.Amazon Web Services (AWS):Compute: Amazon EC2, Amazon EC2 Container Registry, Amazon EC2 Container Service, AWS Beanstalk, AWS Lambda, Auto Scaling, Elastic Load Balancing.Storage: Amazon S3, Amazon EBS, Amazon EFS, AWS Storage GatewayDatabase: Amazon RDS, Amazon DynamoDBMigration: AWS Database Migration Service, AWS Server Migration ServiceNetwork and Content Delivery: Amazon VPC, Amazon CloudFront, Amazon Route 53, AWS Direct ConnectDeveloper Tools: AWS Code Commit, AWS Code Build, AWS Code Deploy, AWS Command Line Interface.Management Tools: Amazon CloudWatch, Amazon EC2 Systems Manager, AWS CloudFormationSecurity & Identity, Compliance: AWS Identity and Access Management (IAM), AWS Cloud HSM, AWS Directory ServiceAnalytics: Amazon EMR, Amazon Cloud Search, Amazon Elasticsearch Service, Amazon RedshiftPython Libraries: Pandas, NumPy, SciPy, Requests, web2py, scrappy, wx python, SQL Alchemy, Beautiful Soup, matplotlib, pyQT, IPython, SymPy, pywin32, bokeh.OpenStack Technologies: Horizon, Nova, Cinder, Neutron, Glance, Swift, Keystone, Heat.Object Oriented Concepts: Class, Object, Data Abstraction, Inheritance, Polymorphism, Modularity, EncapsulationAdditional Skills: SDLC, Agile, Waterfall, T-SQL, Hybrid, TDD, BDD, XP, Kibana, Kafka, Apache Spark, Elasticsearch, Kanban, Heroku, Logstash, VMWare, Bash scripting, LDAP, HTTP, TCP/IP, Socket Programming, JSON, AJAX, Bootstrap, Celery, RabbitMQ, ActiveMQ, jQuery, SOAP, RESTful API, Shell Scripts, XML, JIRA, UAT, Kendo UI, LAMP and WAMP architectures, PyCharm, sublime text, Terraform.

Experience

1. Sr Python Aws Data Engineer

   Comcast

   Jan 2022 — Present · Philadelphia, PA, US

   Created a Handler function in Python using AWS Lambda that can invoke when the service is executed and used Matplotlib to create pie and bar charts for data visualization and report generation.Created the AWS VPC networking for the Installed Instances and configured the Security Groups and Elastic IP\'s accordingly and Automated the data processing to automate data loading into the Hadoop Distributed File System. And utilized SAS for developing Pareto Chart for identifying highly impacting categories in modules to find the work force distribution and created various data visualization charts.Configured and maintained Jenkins to implement the CI process and integrated the tool with Ant and Maven to schedule the builds.Launched Amazon EC2 Cloud Instances using Amazon Images (Linux/ Ubuntu) and Configuring launched instances with respect to specific applications.Using Chef, deployed and configured Elasticsearch, Logstash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda and CloudWatch.Experience in creating initial website prototype from Django skeleton and building out Views, Templates using CSS for whole site following Django MVC architecture.Developed internal auxiliary web apps using Python Flask framework with Angular.js and Bootstrap CSS / HTML framework.Developed ETL jobs in python to extract, transform and load data into MS SQLServer database. Responsible for design and implementation of various modules of the application using Struts-Spring- Hibernate architecture. Experience in setting up CI/CD pipeline integrating various tools with Jenkins to build and run Terraform jobs to create infrastructure in AWS.Involved in designing and deploying multitude 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.