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Title Sr. Python Full Stack Developer
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Sr. Python Full Stack DeveloperEmail: EMAIL AVAILABLENumber: PHONE NUMBER AVAILABLESUMMARY:      Around 11+ years of experience as a Python Developer, proficient coder in multiple languages and environments including Python, REST Api, AWS, C, C++, and SQL.      Wrote python scripts to parse XML documents and load the data in database and developed web - based applications using Python, CSS, and HTML. Worked on applications and developed them with XML, JSON, XSL (PHP, Django, Python, Rails).      Experienced in developing Web Services with Python programming language.      Built an application and deployed microservices in the AWS Cloud using Docker containers.      Experience in writing Sub Queries, Stored Procedures, Triggers, Cursors, and Functions on MySQL and PostgreSQL database.      Experience in Designing,  architecting and implementing scalable cloud-based web applications using AWS and GCP      Experienced in developing web-based applications using Python, Django, PHP, C++, XML, CSS, HTML, DHTML, JavaScript and Jquery.      Experienced in working with various Python IDE's using PyCharm, PyScripter, Spyder, PyStudio and PyDev.      Good experience of software development in Python and IDEs: PyCharm, sublime text, Jupiter Notebook.      Set up a GCP Firewall rules to allow or deny traffic to and from the VM s instances based on specified configuration and used GCP cloud CDN (content delivery network) to deliver content from GCP cache locations drastically improving user experience and latency.      Experienced in web applications development using Django/Python using HTML/CSS for server-side rendered applications.      Hands on experience working in WAMP (Windows, Apache, MYSQL, and Python/PHP) and LAMP (Linux, Apache, My SQL, and Python/PHP) Architecture.      Worked on Anaconda Python Environment.      Developed views and templates with Python and Django's view controller and templating language to create a user-friendly website interface.      Experience in implementing python alongside using various libraries such as mat plotlib for charts and graphs, MySQL db. for database connectivity, python-twitter, PySide, Pickle, Panda s data frame, network, urllib2.      Experienced in using python libraries like BeautifulSoup, NumPy, SciPy, matplotlib, Python-twitter, NetworkX, urllib2, MySQLdb for database connectivity and IDEs - Sublime Text, Spyder, PyCharm.      Very keen in knowing newer techno stack that Google Cloud platform (GCP) adds.      Hands on experience in using NOSQL libraries like MongoDB, Cassandra, Redis and relational databases like Oracle, SQLite, PostgreSQL and MYSQL databases.      Worked on UNIX shell scripts for business process and loading data from different interfaces to HDFS.      Experience in deploying applications in heterogeneous Application Servers TOMCAT, Web Logic and Oracle Application. Server.      Good Knowledge in Amazon AWS concepts like EMR and EC2 web services which provides fast and efficient processing of Big Data.      Proficiency with the application servers like WebSphere, WebLogic, JBOSS and Tomcat.      Working knowledge of errors and exceptions handling debugging using PDB, Eclipse and PyCharm.      Experience with Docker, deployment of application inside software containers.      Excellent Debugging, Problem Solving, Optimization and Testing Skills using GitLab.      Experience in Python Development and Scientific Programing and using NumPy and Pandas in Python for Data Manipulation.      Experience in using Scikit-Learn and Stats models in Python for Machine Learning and Data Mining.      Experience with SQL Server Management Studio, SQL Developer, Toad and MySQL GUI Tool.TECHNICAL SKILLS:LanguagesPython 3.6,3.3 ,2.7/2.4, C++, Java, Shell Script, Perl, SQLPython FrameworkDjango 1.3/1.4/1.5, Pyramid, Flask, web2Py.DatabasesMySQL 5.1, SQL Server 2008, Oracle 10g, Siebel, PLSQL, Oracle, Microsoft SQL, PostgreSQL, MongoDBWeb TechnologiesAJAX, JavaScript, HTML, DHTML, XHTML, XML, JQuery, CSSVersioning ToolsSubversion, GIT, Perforce, CVSIDEEclipse, My Eclipse, PyCharm, RAD, Net beans, MS Visio, Sublime Text, Notepad++Web serversApache, IISDebugging toolsSelenium, IDENO SQLMongoDB, CassandraMachine Learning:Artificial Neural Network, Convolution Neural Network Bayesian Network/BBN, Linear Regression, Logistic Regression, Decisions Tree, Elastic-net regularized generalized linear models (built in R), k-NN, SVM, SVDK Clustering, Page Rank and PCA, MCA, MFC, Apriori and other data mining and Deep Learning Algorithms, Social Media Analytics, Sentimental analysis, Market Base Analysis, Bagging, Boosting.Tools:  Visual Studio, IntelliJ, Pycharm, Android Studio, Putty, Filezilla, TFS, JIRA, Rally, Version1, HP ALM, Test Track Pro, Rational team ConcertOperating systemsLinux/Unix, Windows NT/2000/XP/2003/Vista, Mac OSXVersion ControlGit-Hub, Sub VersionBuild ToolsGNU, Apache Ant, Apache Maven, Buck, Bit-Bake, Boot, GruntMethodologiesAgile, Scrum, WaterfallPROFESSIONAL WORK EXPERIENCE:Client: AT&T, WA			                          				Mar 2022   PresentRole: Sr. Python DeveloperResponsibilities      Hands on experience working in WAMP (Windows, Apache, MYSQL, and Python/PHP) and LAMP (Linux, Apache, My SQL, and Python/PHP) Architecture.      Working on the Recommendation team, to generate device & accessory recommendations to the users based on impression data.
      Created Jenkins build and deployment pipeline jobs to deploy the docker images into AWS ECR repositories and integrated with GITHUB.      Developed application logic using Python, Java script, Java.      Hands on experience in using NOSQL libraries like MongoDB, Cassandra, Redis and relational databases like Oracle, SQLite, PostgreSQL and MYSQL databases.      Experience with SQL Server Management Studio, SQL Developer, Toad and MySQL GUI Tool.      Collaborated with team to develop correlation score generator algorithm based on various factors analyzing user purchase patterns.      Developing Spark programs using Python APIs to compare the performance of Spark with Hive and Oracle.      Trained staff on effective use of Jenkins, Docker, GitLab and Kubernetes.      Develop Python microservices with Django/Flask framework for Confidential & Confidential internal Web Applications. Consumed the data from Kafka using Apache.      Developed a data migration feature using GZ File Compression and AES 256 encryption.      Developed a fully automated continuous integration system using Git, Gerrit, Jenkins, MySQL and custom tools developed in Python and Bash.      Used TensorFlow, Keras in Python for developing data pipelines and various machine learning algorithms.      Implemented user interface guidelines and standards throughout the development and maintenance of the website using CSS3, HTML5, JavaScript, Angular.js and jQuery.      Designed RESTful Webservices using FLASK, with emphasis on improved Security for the service using FLASK-HTTP AUTH with HTTPS.      Involved in the Continuous Integration of the automation framework with Jenkins with Git/GitHub repository.      Developed the presentation layer using HTML, CSS, JavaScript, jQuery and AJAX and Used jQuery libraries for all client-side JavaScript manipulations.      Configured Jenkins jobs in Azure to run Scala classes and monitor data persistence.      Developed Spark ETL application to ingest data from Teradata, SQL Server and load in to Hive Tables in ORC format and handled structured data using Spark SQL.      Define roles and privileges required to access different database objects on Snowflake.      Define virtual warehouse sizing for Snowflake for different types of workloads.      Implemented pattern matching logic in Flink for event processing.      Analyzed the SQL scripts and designed the solution to implement using PySpark.
      Implemented and setup Continuous Integration and Continuous Delivery (CI & CD) process stack using AWS, GitHub/GIT, bitbucket and Jenkins.      Developed Spark code using Python for faster processing of data on Hive (Hadoop). Developed      Built docker containers to sandbox python WSGI Apps      Experience in Designing, Architecting and implementing scalable cloud-based web applications using AWS and GCP      Monitoring Spark Streaming Application that consumes data from Nifi- Kafka integrated processes.Environment: Python, AWS, EC2, EBS, S3, RDS, Jupyter, Athena, RedShift, VPC, Lambda, DynamoDB, PyCharm, HTML, CSS, ReactJS, JavaScript, JSON, AngularJS, Bootstrap, Microservices, Flask, MongoDB, Jenkins, Docker, GIT, My SQL, Unix, PostgreSQL.Client: DTCC, NY				                                                    	Nov 2020   Feb 2022Role: Sr. Python DeveloperResponsibilities:      Leverage Big Data to gain deeper understand of customers behavior and transaction timely, by connecting all data sources, from ATMs, POS, branch, online transactions, mobile, payment systems, web, social media, etc.      Developed custom monitoring and reporting tools in Python to analyze and visualize data stored in Sybase ASE databases, providing insights into system performance, query optimization, and data trends.      Developed machine learning models using PySpark MLlib library for tasks such as classification, regression, clustering, and recommendation systems      Write SQL queries to develop databases, tables, and address stakeholder ad hoc requests to identify tends and patterns.      Involved in Developing a Restful service using python Flask framework.      Developed Restful Microservices using Flask and Django and deployed on AWS servers using EBS and EC2.      Develop Python microservices with Django/Flask framework for Confidential & Confidential internal Web Applications.      Used Celery with Rabbit MQ, MySQL, Elasticsearch, and Flask to create a distributed worker framework.      Developed custom Python scripts to interact with the Camunda REST API, enabling seamless integration between Camunda BPM platform and external systems.      Created a full web stack using AWS Infrastructure (Beanstalk, multiple lambdas, Amazon Aurora, API Gateway etc.) to create a fully functioning API using GraphQL technology with multiple data sources.      Azure cloud Merge with python to store the data into cloud with High security.      Creation of Python scripts for data access and analysis (Scripts, Data Feeds, XLS, FIXML) to aid in process and system monitoring, and reporting.      Perform data cleaning, data extraction, and data visualization with large data sets of around multi terabytes of data.      Followed agile methodology for the entire project.
      Involved in review of functional and non-functional requirements.      Implemented real-time data processing solutions using Apache Kafka and Apache Flink in conjunction with Python to handle streaming data sources and complex event processing.      Implemented machine learning schemes using Python libraries scikit-learn and SciPy.
      Implemented PySpark using Python and utilizing data frames and temporary table SQL for faster processing of data.
      Designed and developed the UI of the website using HTML5, XHTML, AJAX, CSS3 and JavaScript.      Handled all the client-side validation using JavaScript.      Conducted performance tuning and optimization of Python-based data applications to enhance throughput, reduce latency, and improve overall system efficiency.      Creating unit test/regression test framework for working/new code.      Using Subversion version control tool to coordinate team-development      . Implemented AWS high availability using AWS Elastic Load Balancing (ELB), which performed balance across instances.      Designed and managed API system deployment using fast http server and Amazon AWS architecture.      Involved in Hadoop cluster task like Adding and Removing Nodes without any effect to running jobs and data.
      Design and present analytical PowerBI visualization dashboards to the peers and stakeholders to identify KPI s.Environment: Python, MongoDB, Django, Angular 8/9, wxPython, NumPy, PyCharm, Pandas, Matplotlib, AWS, S3, urllib, urllib2, Postgres SQL, HTML, CSS, SOAP API, GIT, Maven, Jira, XML, Agile, Windows.Client: CVS Healthcare, Woonsocket, RI						Jan 2018 - Oct 2020Role- Python DeveloperResponsibilities:      Developed GUI using Python and Django for dynamically displaying the test block documentation and other features of python code using a web browser.      Writing scripts in Python for extracting data from HTML file.      Developing views and templates with Python and Django's view controller and templating language to create a user-friendly website interface.      Developed REST API s using Python Django framework and written extensive test cases in PyTest and integrated with Jenkins s pipeline.      Actualized Terraform to deal with the AWS framework and oversaw workers utilizing design the board instruments like Chef and Ansible.      Built unit test framework using python PyUnit test framework for automation testing.	Implemented cluster services using Docker and Kubernetes.      Developed consumer-based features and applications using Python, Django, HTML, Behavior Driven Development (BDD) and pair-based programming.      Working on Web Log Analysis using Apache Spark. (PySpark)      Created Terraform contents for EC2 cases, Elastic Load balancers and S3 containers.      Rewriting existing Python/Django modules to deliver certain format of data.      Creating scripts for system administration and AWS using languages such as BASH and Python.      Debugging the project monitored on JIRA (Agile)      Used Kubernetes to deploy scale, load balance, and worked on Docker Engine.      Writing Python scripts to parse JSON documents and load the data in database.      Utilized Python and Django to interface with the jQuery UI and manage the storage and deletion of content.      Writing/modifying scripts using SH, KSH, and Bash for day-to-day administration.      Developing entire front-end and backend modules using Python on Django.
      Involved in CI/CD pipeline for deploying to dev, QA and prod environments using Jenkins, Bamboo and Docker.      Managing the OpenShift cluster that includes scaling up and down the AWS app nodes.      Creating database using MySQL, wrote several queries to extract data from database.
      Developing Merge jobs in Python to extract and load data into MySQL database.      Working on Administer user, user groups, and scheduled instances for reports in Tableau.      Writing various data normalization jobs for new data ingested into AWS Redshift.      Migrating on premise database structure to Redshift data warehouse      Designed the database structure for the application in DynamoDB, a NoSQL Db from AWS.      Preparing Dashboards using calculations, parameters in Tableau      Developing python code by using Numpy & Pandas for new requests and debugging existing code.      Used pandas, numpy, seaborn, scipy, matplotlib, scikit-learn, NLTK in Python for developing various machine learning algorithms.Environment: Python, Django, HTML5, CSS, XML, MySQL, JavaScript, Backbone JS, jQuery, CSS, Bootstrap, T-SQL, Eclipse, Git, GitHub Openshift, Linux, Redis, Shell Scripting.Client: Silicon Valley Bank, Raleigh, NC			             		Oct 2016   Dec 2017Role: Python Developer
Responsibilities:      Developed entire frontend and backend modules using Python on Django Web Framework.      Developed tools using Python, Shell scripting, XML to automate some of the menial tasks.
      Integrating Fast API with various databases, including SQL Alchemy and Tortoise-ORM, for seamless data retrieval and storage.      Developed custom monitoring and reporting tools in Python to analyze and visualize data stored in Sybase ASE databases, providing insights into system performance, query optimization, and data trends.      Actively contributed to the Open Telemetry Python project, either through code contributions, bug reporting, or community involvement. Performed testing using Django s Test Module.      Developed machine learning models using PySpark MLlib library for tasks such as classification, regression, clustering, and recommendation systems.      Developed custom Python scripts to interact with the Camunda REST API, enabling seamless integration between Camunda BPM platform and external systems.      Used Django configuration to manage URLs and application parameters.      Involved in Web development, programming, and engineering Django, UWSGI and SQL internal admin tools behave BDD.      Developed a fully automated continuous integration system using Git, Jenkins, MySQL and custom tools developed in Python and Bash.
      Generated Python Django forms to record data of online users and used Pytest for writing test cases.      Performed Data mapping between source systems to Target systems, logical data modeling, created class diagrams and ER diagrams and used SQL queries to filter data.      Used various techniques using R data structures to get the data in right format to be analyzed which is later used by other internal applications to calculate the thresholds.      Applied various machine learning algorithms and statistical modeling like decision tree, logistic regression, Gradient Boosting Machine to build predictive model using scikit-learn package in Python.      Designed and developed the UI of the website using HTML, XHTML, AJAX, CSS & JavaScript, also used Bootstrap as a mechanism to manage and organize the html page layout.      Created a full web stack using AWS Infrastructure (Beanstalk, multiple lambdas, Amazon Aurora, API Gateway etc.) to create a fully functioning API using GraphQL technology with multiple data sources.      Worked with React.js, GraphQL and node.js full stack development.      Involved in GraphQL server, created model, resolver, and schema to interact with client-side.      Worked on deploying Linux SuSE 10, 11 and 12 versions.      Conducted code reviews and provided technical guidance to junior developers on Python best practices within the AMEX development team.      Upgraded from Linux SuSE version 10 to 11 and from 11 to 12.      Implemented Okta Single Signon Authentication making using of Python SDKs, SAML and OpenID Connect.      Azure cloud Merge with python to store the data into cloud with High security.      Used Rest APIs, AWS, Open Shift, Perl, BDDPL/SQL Amazon Web Services AWS provisioning and implemented AWS services like EC2, S3, Red shift, Glacier, Bamboo, ELB (Load Balancers), RDS, SNS, SWF and EBS etc. and Azure.      Provision RHEL and SUSE server for SAAS based application leveraging chef recipes.
      Used PySpark-SQL to load JSON data and create schema RDD, Data Frames and loaded it into Hive Tables and handled Structured data using Spark-SQL.
      Utilized Python Libraries like Boto3, NumPy for AWS. Used Pandas library for statistical Analysis.
      Used Python and Django to interface with the jQuery UI and manage the storage and deletion of content.
      Designed and managed API system deployment using fast http server and Amazon AWS architecture.      Creation of Python scripts for data access and analysis (Scripts, Data Feeds, XLS, FIXML) to aid in process and system monitoring, and reporting.      Also, used Bootstrap and Angular.js as a mechanism to manage and organize the HTML page layout.      Designed and developed the UI of the website using HTML5, XHTML, AJAX, CSS3 and JavaScript.      Designed and developed data management system using MySQL.      Creating unit test/regression test framework for working/new code.      Using Subversion version control tool to coordinate team-development.Environment: Python, Django, Java, Angular 6/7, Bootstrap, libraries - (NumPy, SciPy, Pandas, SNMP, PyCharm, PyQuery, Matplotlib), AWS, Bash, PyQt, XML, Shell Scripting, MySQL, HTML, XHTML, CSS, GraphQL, AJAX, JavaScript, Jenkins, Apache Web Server, Linux, SQL Alchemy, MVC, Linux Suse, HTML5, Scala, Ansible, OAuth 2.0, Google Suite, Slack, OIDC, Kubernetes, Kafka, Shell Scripting, JSON, Apache Web Server, SQL, UNIX.Client: TCS, India			             					Sept 2011   July 2015Role: Systems Engineer
Responsibilities:      Developed and implemented SAP Analytics solutions.      Developed custom risk identification and issue forecasting software solution that leveraged lessons learned and past performance of the customer enterprise.      Work involved solicitation and development of system &amp,information requirements, prototype development and demonstration, and consultation on lowest cost solution for enterprise transition and deployment.      Responsible for execution and overall quality of Confidential study, interfacing with and garnering support from stakeholders, driving maturation of acquisition program technical baseline (requirements), RFI preparation and solicitation, responses evaluation, as well as technical and programmatic risk assessment associated with continued acquisition.      Created and maintained data models and extraction processes.      Designed interactive dashboards and reports.      Gathered business requirements and translated them into specifications.      Conducted data analysis, cleansing, and transformation.      Implemented data governance and security measures.      Provided training and support to end-users.      Perform Confidential administrative tasks in 2008 & 2012 servers needed for user accounts management and administration.      Responsible for creating user accounts, mailboxes, distribution lists, shared folders, and shared calendars on both the OpenNet and ClassNet systems. Setting user and/or group permissions, File transfers and file restorations (from backup)      Worked on Virtualizing Physical servers using VMware vSphere 5.0 and 5.1      Understanding of SQL queries and database management system such as PostgreSQL.
      Demonstrated expertise in optimizing PySpark jobs for performance, including partitioning, caching, and leveraging cluster resources effectively.      Testing, validating and recording results for audit purposes, and deploying system and application fixes/patches.      Install, troubleshoot, repair and maintain communications equipment in a VoIP environment.      Developed CDK constructs and patterns in Python to automate the provisioning of AWS resources, reducing manual configuration tasks and ensuring infrastructure as code best practices.      Developed numerous new features and enhancements for the Web application using Python/Django, HTML/CSS/JavaScript, as well as automating our development environment using Ansible.
      Provide support in the NOC by actively monitoring 1000+ servers via NetIQ and responding to alerts such as ping failures, low disk space, and web checks.      Provide support to users with VDI, Windows physical workstation and LAN related issues.      Network monitoring and server management via IPMonitor.

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