Fazil H

About Fazil H

6+ years of professional experience as a Python Developer, pro client coder and experience in Design, Development, Implementation of Python, Django, Flask, Pyramid and client - server technologies-based applications, RESTful services, AWS, SQL and Expertise in various Python packages such as Celery, NumPy, SQL Alchemy, TypeScript, Beautiful soup, Pickle, PySide, Mongo, SciPy, PyTables, PyUnit,chefExperience with Design, code, debug operations, reporting, data analysis and Web Applications utilizing Python and Experienced in implementing Object Oriented Python, Hash Tables (Dictionaries) and Multithreading, Django, MYSQL, Exception Handling and Collections using Python.Worked with MVW frameworks like Django, Angular JS, HTML, CSS, XML, Java Script, jQuery, Bootstrap and Experience in writing JSON REST APIs using Golang and involved in MVW frameworks like Django, Angular JS, Java Script, jQuery and Node.jsResponsible for all client-side UI Validation and implementing Business logic based on user selection Angular.JS 2 and involved in developing the Angular.JS Meteor framework for the Single Page Application development.Expertise in developing web-based applications using Spark with Scala and python Bash, Perl, Python, XML, DHTML, XHTML, Ajax, JOOMLA, CSS, HTML, JSON, JavaScript, and Bootstrap.Hands on experience on python libraries like beautiful soup, NumPy, PyCharm, panda, Spyder and experience on different framework like Django, flask.Expertise on various applications using python integrated IDEs Sublime Text, PyCharm, Spyder and Expertise in JavaScript frameworks to replace frontend of a Flask application and began implementing a React solution. Experienced in developing web-based applications using Python, DJANGO, GTK, QT, C++, XML, CSS, HTML, DHTML, JavaScript, and JQuery. industrial experience in Big Data analytics, Data manipulation, using Hadoop Eco system tools Map - Reduce, HDFS, Yarn/MRv2, Pig, Hive, HDFS, HBase, Spark, Kafka, Flume, Sqoop, Flume, Oozie, Avro, Sqoop, AWS, Spark integration with Cassandra, Avro, Solr and Zookeeper.Extensive experience in developing applications that perform Data Processing tasks using Teradata, Oracle, SQL Server and MySQL database.Experience with Web Development, Amazon Web Services, Python and the Django framework.Very good experience with cloud platforms like Amazon AWS and Google AppEngine.

Experience

1. Sr Python Aws Developer

   Petco

   Jun 2020 — Present · CA, US

   Developed web-based applications using Python, Django, Angular, XML, CSS, HTML, JavaScript and jQuery and Deployed NoSQL technologies like MongoDB, Cassandra, and relational databases like Oracle, SQLite, PostgreSQL and MySQL databases.Automated RabbitMQ cluster installations and configuration using Python/Bash and Deployed and monitored scalable infrastructure on Amazon Web Services (AWS) & configuration management using ChefDeveloped the notification service by posting the JSON request in AWS API Gateway, AWS Glue Validating the response in Lambda by getting the data from DynamoDB and sending the notification through AWS SNS.Designed and Built Data pipelines to serve various business use cases such as ingesting into AWS S3 Data Lake, exporting data to consumers like ServiceNow, Sales Force, Oracle Cloud etc and Deployed automation, used Configuration Management Tool, Chef and Integrate the dynamic pages with Angular JS and j-query to make the pages dynamic.Created Terraform scripts for EC2 instances, Elastic Load balancers and S3 buckets. Implemented Terraform to manage the AWS infrastructure and managed servers using configuration management tools like Chef and AnsibleDeveloped by creating REST APIs and used them to access data from different suppliers and to gather network traffic data from servers.Installed Jenkins/Plugins for GIT Repository, Setup SCM Polling for Immediate Build with Maven and Maven Repository and Deployment of apps using custom modules through Puppet as a CI/CD Process.Employ TDD and OOP best practices to rapidly deliver quality code in an Agile environment with short production timelines.