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Click here or scroll down to respond to this candidateCandidate's Name
Python DeveloperEmail ID: EMAIL AVAILABLEPhone no: PHONE NUMBER AVAILABLEPROFESSIONAL SUMMARY:10+ years of experience in Design, Development and analysis of Python, Django and client- server technologies-based applications.Concept knowledge of Python libraries such as NumPy, Pandas, Requests, urllib3, Pyarrow, AWS CLI, boto3, and Http for data analysis. Understanding of computing concepts including Data Structures (Linear Regression, Decision Tree) and file manipulation in Python.Experience in HTML/HTML5, DHTML, CSS/CSS3, JavaScript, XML, JSON, Oracle PL/SQL and Postgres.Experience with Amazon Web Services (Amazon EC2, Amazon S3, Amazon Simple DB, Amazon RDS, Amazon Elastic Load Balancing, Amazon SQS, AWS Identity and access management, Amazon SNS, AWS Cloud Watch, Amazon EBS, Amazon CloudFront, VPC, Route 53, Dynamo DB, Lambada and Redshift)Experience in Object Oriented Design and Programming concepts using Python 3.x and Java.Experience in writing Subqueries, Stored Procedures, Triggers, Cursors, and Functions on MySQL and PostgreSQL database and have experience building Feature stores with Databricks.Experience in ETL processes utilizing Databricks to design, develop, & optimize data integration workflows ensuring dataflow across diverse systems.Experience in automating system test and production tasks using Shell Scripting, Perl, Python, cucumber, Mockito and TestNGExperience with XML/JSON based SOAP and REST web services.Expertise in designing rich Graphic User Interface (GUI)/Single Page Applications (SPAs) and frontend layouts on the web using CSS, HTML, XML, DHTML, Java Script, JSON, AJAX, XSLT, XAML and JQuery, Bootstrap, Angular.js, Angular, TypeScript.Experience in using python integrated IDEs PyCharm, Sublime Text, NetBeans, and SpyderExperience in developing web applications and implementing Model View Control (MVC) architecture using server-side applications Django, Flask and Pyramid.Experienced in Agile Methodologies, Scrum stories and sprints experience in a python based environment, along with data analytics, data wrangling and Excel data extracts.Good knowledge in various phases of SDLC Requirement Analysis, Design, Development and Testing on various Development and Enhancement Projects.Good Experience in error and exceptional handling and Solid understanding of database management systems SQL and Data Bricks.Experience in designing the automation framework using Shell scripting.Hands-on experiences in writing and reviewing requirements, architecture documents, test plans, design documents, quality analysis and audits.Implemented Continuous Integration (CI) and Continuous Delivery/Deployment (CD) pipelines using Jenkins to make every step containerized.Hands on experience in data extraction, data cleansing and automation of data pipelines using python.Building & training models and creating inferences using PyTorch and other similar toolExperienced in developing the data pipelines and managing the ETL end to end.Extensive experience in all stages of Data Engineering from loading data to different source systems, transforming and scheduling the data jobs.Worked on Waterfall and Agile methodologies.Worked in Organizing and facilitating project planning, daily stand-ups, reviews, retrospectives, sprint/release planning, demos and other Scrum-related meetings.Deep analytics and understanding of Big Data and algorithms using Hadoop, Map Reduce, NoSQL and distributed computing tools.Familiarity with data processing and visualization languages and tools such as Python, PyTorchDesigned and managed API system deployment using fast HTTP server and Amazon AWS architecture.Strong understanding and hands on experience setting up Elastic search 1.7 in an AWS cloud environment.TECHNICAL SKILLS:Programming languagesPython, JavaScript, Shell ScriptWeb FrameworksFlask, Pyramid, Django Rest Framework, Pylons, Cherrypy, Flask Web framework, web2py, CSS BootstrapDatabasesMySQL, SQL Server, PostgreSQL, SQLite, OracleNoSQL: Redis, MongoDBWeb TechnologiesHTML, jQuery, Ajax, CSS, JavaScript, JSON, XML, Django, Flask, BootstrapCloud TechnologiesAmazon web services (EC2, S3, RDS, Glue, Lambda, Kinesis), Apache Hadoop, Spark, Splunk, GCPTechnologies and ToolsYang tree configuration, Core, RestConf, Netconf, Yang Web Services, GitHubDevelopment ToolsPyCharm, VS Code, Jupyter Notebooks, Sublime Text, Notepad++, SlackOperating SystemLinux, UNIX, WINDOWS, IOSPROFESSIONAL EXPERIENCE:Client: Fiserv, Warren Township, NJ Aug 2023 - PresentRole: Full Stack Python DeveloperResponsibilities:Created CLI commands based on python for handling and optimizing the Google Cloud Platform (GCP) data.Involved in designing and developing backend and frontend for a Web Service using Angular and Python.Updated and tested many modules and packages as a part of project update.Used pipes, directives, components and services in angular to create a functional application and utilised Angular services for consuming REST APIs web services.Working on various Integrated Development Environments like VSCode, Pycharm, Anaconda.Executed full product lifecycle (inception through deprecation) to create highly scalable and flexible RESTful APIs to enable an infinite number of digital products.Collaborated with other Engineers, Creative/UX designers, Scrum Masters, Product Managers, Business Analysts and Architects experience on AWS environment deployment for DatabricksDeveloped python server using Django, Flask, and other python frameworks. Wrote unit-tested and maintainable codeProcess and load bound and unbound Dara from google sub topic to Bigquery using cloud Dataflow with python.Python g-cloud function to load Data into Bigquery for on-time csv file in GCP bucket.A program can be written to download an SQL Dump from an equipment maintenance site and load it into a GCP bucket. Additionally, the SQL Dump can be loaded from the GCP bucket into MYSQL, and the MYSQL data can be loaded into Bigquery using the Python, Scala, or Spark programming languages.Experience with machine learning libraries and frameworks such as PyTorch or TensorFlow, Hugging Face, Lang chain, Llama Index and Should be able to support aws as a platform and databricks as a platform.Worked with and built RESTful APIs for Python API development.Utilized cloud platforms (AWS: both traditional EC2 and serverless Lambda), micro-services architecture, CI/CD solutions (including Docker), DevOps principles, message queue systems, and background task management.Use AWS glue catalog with crawler to get the data from S3 and perform SQL operationsUsed on AWS data pipeline to configure data loads from S3 data to RedshiftExperienced with API security frameworks, token management and user access control including OAuth 2.0, JWT, etc.Provided guidance to development team working on PySpark as ETL platformSolid foundation and understanding of relational and NoSQL database principles (MongoDB, Couch, etc).Worked in an Agile /SCRUM environment and Supported existing applications: performed debugging, profiling, data quality checking, monitoring, quick prototyping, and testing using SQL, Perl, shell, and Linux.Well organized with a bias for action with minimal direction. A team player with a start-up/entrepreneur mindset and Install, configure, and maintain Databricks clusters and workspaces.Familiarity with software development tools and platforms used in AI projects (e.g., Tensor Flow, PyTorch, Jupyter Notebook).Implemented a production ready, load balanced, highly available, fault tolerant Kubernetes infrastructure.Understood modern web components (HTML/CSS/JS), caching strategies and implementation (Redis, Memcache, etc.)Working knowledge of source control systems such as (Git, SVN), serving high scale HTTP(S) protocolDeployed spring boot based micro services in Docker and Amazon EC2 containers using Jenkins.Scaled micro services, distributed distributed systems and serverless applications using Simple Queue Service (SQS)Written APIs for multiple platforms (Web, Mobile App, etc.), in languages such as NodeJS, PHP, serve as a point of contact for technical issues related to the Databricks environmentWorked with Big Data platforms and ETL. Expertise working with Hadoop/Distributed platformsExpertised with Linux and deployment schemes using a configuration management tool such as Ansible/Puppet and Upload the data-to-data base by writing VB scripts and Shell/Perl ScriptsKnowledge of constructing PostgreSQL and SQL query strings and fine-tuning them for performance.Environment: AWS EC-2, GCP, Route 53, S3, SVN, Clear Case, Maven, ANT, Gradle, Jenkins, GIT, Kubernetes Web Sphere, Jira, SDLC, Docker, Nagios, Shell & Perl Scripts, Unix/ Linux bash, python, Spark, Spark API, Spark SQL, Bigquery, G-Cloud Function, Apache Beam, Cloud Dataflow, PyTorch, Cloud Shell, Data bricks, Gutil, Bq Command.Client: BCBS, Newark, NJ Jul 2020 - Jul 2023Role: Full Stack Python DeveloperResponsibilities:Developed Python based API (RESTful Web Service) to track the events and perform analysis using Django.Manage the successful delivery of development projects across the full application lifecycleSetup and build AWS infrastructure various resources, VPCEC2, S3, IAM, EBS, Security Group, Auto scaling and RDS in Cloud Formation JSON templates.Handled operations and maintenance support for AWS cloud resources which includes launching, maintaining and troubleshooting EC2 instances, S3 buckets, Virtual Private Clouds (VPC), Elastic Load Balancers (ELB) and Relational Database Services (RDS).Wrote and executed various MySQL database queries from Python using Python-MySQL connector and MySQL dB packageUsed Postman API to get a convenient, visual display of query results.Managed workflows declaratively in Step Functions, making them easier to understand and modify.Implemented a CI/ CD pipeline with Docker, Jenkins and GitHub by virtualizing the servers using Docker for the Dev and Test environments by achieving needs through configuring automation using Containerization.Built a Kendra index of 1 billion ledger documents and deployed it to a production environment with 99.9% uptime.Build scalable, maintainable, and cost-effective serverless applications on AWS using Lambdas and Step Functions.Created Ansible playbacks to deploy and automatically scale applications with minimal dependenciesUsed the AWS -CLI to suspend on Aws Lambda function used AWS CLI to automate backup of ephemeral data stores to S3 buckets EBS.Designed and implemented database schemas using SQLAlchemy ORM to ensure efficient data storage and retrieval.Created a Python/Django/Flask based web application using Python scripting for data processing, MySQL for the database, and HTML/CSS.Involved in utilizing Python core concepts like multi-threading, OOPS concepts, Logging, Exceptional Handling. Worked on performing the various mathematical operation for calculation, statistics for analysis using Python libraries in Jupyter notebook.Implemented robust data storage and retrieval solutions by leveraging Boto3 to interact with Amazon S3, ensuring efficient handling of large datasets and media files.Integrated Bash scripts with version control systems like Git, facilitating code management, deployment, and collaboration within development teams.Published and Consumed Contract SOAP web services and developed corresponding test cases.Utilized the OpenCV library for image reading, labeling.Designed and managed API system deployment using fast http server and Amazon AWS architecture.Developed frontend and backend modules using Python on Django Web Framework.Developed and deployed large scale Machine learning models to create personalized recommendations based on user data.Managed AWS IAM roles, policies, and permissions programmatically with Boto3, ensuring secure and controlled access to AWS resources.Generated Python Django forms to record data of online users and used PyTest for writing test cases.Designed and developed the UI of the website using HTML, AJAX, CSS.Created robust automation tools using Perl for system administration, file management, and batch processing.Performed debugging and troubleshooting the web applications using Subversion version control tool to coordinate team-development.Environment: Python 3.x/2.7, Django, AWS, EC2, S3, VPC, ELB, RDS, CLI, Lambda, DevOps, Azure, Flask, Terraform, HTML5, CSS, SOAP, PyTest, PySpark XML, Python SDK, Docker, Jenkins, GitHub, My-SQL, Eclipse, RESTful API Gateway, Shell Scripting, jQuery, Git, Jira, Windows and LINUX.Client:AT&T, Dallas TX Dec 2017 to Jun 2020Role: Full Stack Python DeveloperResponsibilities:Involved in analysis, specification, design, and implementation and testing phases of Software Development Life Cycle (SDLC) and used agile methodology for developing applications.Upgraded existing UI with HTML, CSS, jQuery and Bootstrap.Working as an application developer experienced with controllers, views and models in Django.Restful web services using Python REST API Framework.Used AWS Cloud Watch to monitor and store logging informationImplemented the application using Python Spring IOC (Inversion of Control), Django Framework and handled the security using Python Spring Security.Responsible for handling the integration of database systems.Developed Server-side automation using Node JS scripting and connecting different types of SQL and NoSQL stores from Node JS.Used object/relational mapping (ORM) solution, technique of mapping data representation from MVC model to Oracle Relational data model with an SQL-based schemaImplemented Performance tuning and improved the Performance of Stored Procedures and Queries.Deployed project into Amazon web services (AWS) using amazon elastic beanstalk.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.Designed and managed API system deployment using fast HTTP server and Amazon AWS architectureSetup database in AWS using RDS and configuring backups for S3 bucket.Experience in setting up Elastic Load Balancers (ELB's) and Auto Scaling groups on Production EC2 Instances to build Fault-Tolerant and High Availability applications.Written Terraform modules for automating the creation of VPC's and AWS EC2 Instances, modules for creation of VPC and VPN connection from Data Center to production environment and cross account VPC peering.Created EC2 instances and implemented large multi node Hadoop clusters in AWS cloud from scratch using automated scripts such as terraform.Experience in Amazon Web Services (AWS) Cloud services such as EC2, EBS, S3, VPC, Cloud Watch, Elastic Load Balancer.Working with Continuous Integration (CI) and Continuous Delivery/Deployment (CD) Environment.Responsible for debugging and troubleshooting the web application.Wrote unit testing codes using unit test, resolving bugs and other defects using FirebugUsed JIRA to assign, track, report and audit the issues.Used GIT to coordinate team developmentEnvironment: Python, Django Web Framework, HTML, CSS, NoSQL, JavaScript, jQuery, Sublime Text, Jira, GIT, unit test, Firebug, Web Services, AWS, EC2, EBS, S3, VPC, Cloud Watch, Elastic Load Balancer.Client: MitKat Advisory Services - Mumbai, India Aug 2015 - Nov 2017Role: Python DeveloperResponsibilities:Gathered requirements, system analysis, design, development, testing and deployment.Developed user interface using CSS, HTML, JavaScript and jQuery.Created a database using MySQL and wrote several queries to extract/store data.Wrote Python modules to extract/load asset data from the MySQL source database.Designed and implemented a dedicated MYSQL database server to drive the web apps and report on daily progress.Developed views and templates with Python and Django & view controller and templating language to create a user-friendly website interface.Used Django framework for application development.Created the entire application using Python, Django, MySQL and Linux.Enhanced existing automated solutions, such as the Inquiry Tool for automated Asset Department reporting and added new features and fixed bugs.Embedded AJAX in UI to update small portions of the web page avoiding the need to reload the entire page.Created most important Business Rules, which are useful for the scope of project, and- needs of customers.Improved performance by using a more modularized approach and using more in-built methods.Involved in development of Web Services using SOAP for sending and getting data from the external interface in the XML format.Integrated data quality plans as a part of ETL processes.Performed data manipulation/storage for incoming test data using xml /etree libraries.Developed API modularizing existing python modules with the help of pyyaml libraries.Designed and configured database and back end applications and programs.Performed research to explore and identify new technological platforms.Collaborated with internal teams to convert end user feedback into meaningful and improved solutions.Environment: Python 2.7, Django 1.4, Puppet RSpec, Jenkins, Grafana/Graphite, MySQL, Linux, HTML, CSS, jQuery, JavaScript, Apache, Linux, Git, Perl, Cassandra.Client: Eaton- Pune, Maharashtra Jan 2014 - Jul 2015Role: Jr. Python DeveloperResponsibilities:Providing daily reports to the development team and the manager, participate in both the design and development phase.Developed and tested many features in an agile environment using Python, Django, HTML5, CSS, JavaScript, and Bootstrap.Implemented Angular JS controllers to maintain each view data.Involved in writing application level code to interact with APIs, Web Services using AJAX, JSON, XML, Angular JS and Node JS.Rewrite existing Python/Django modules to deliver a certain format of data.Working in a team of developers to build and deploy Flask, Linux, AWS and Azure.Involved in maintaining and editing Python scripts for application deployment automation.Working on various Integrated Development Environments like PyCharm, Anaconda, Spyder.Created, activated and programmed in the Anaconda environment. Wrote programs for performance calculations using NumPy.Implemented responsive user interface and standards throughout the development and maintenance of the website using the HTML, CSS, JavaScript, and JQuery.Developed views and templates with Python and Django have to create a user-friendly website interface.Designed Restful Web services using FLASK, with emphasis on improved Security for the service using FLASK-HTTP Auth with HTTPS.Wrote and executed various MySQL database queries from python using Python-MySQL connector and MySQL DB package.Creating Restful web services for Catalog and Pricing with Django MVT, MySQL, and MongoDB.Developed a fully automated continuous integration system using Git, Jenkins, MySQL and custom tools developed in Python and Bash.Implemented Multithreading module and complex networking operations like race route, SMTP mail server and web server Using Python.Written test cases using PyUnit and Selenium Automation testing for better manipulation of test scripts.Wrote Python scripts to parse XML documents and load the data in the database.Analyze the data using the Daily reports and work based on the requirement and targets, which are discussed in the stand-up meetings.Environment: Python, AWS, Azure, Linux, HTML, CSS, XML, Django. |
