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Click here or scroll down to respond to this candidateCandidate's Name
Abhinay ReddyPh: PHONE NUMBER AVAILABLEEmail: EMAIL AVAILABLELinkedIn: LINKEDIN LINK AVAILABLEPROFESSIONAL SUMMARYOver 9+ years of experience as a Senior Python Developer with python Integrations and Software development as well as coding and testing like unit testing and function testing and analytical for programming using Python.Experienced in developing web applications using Django, Flask, Pyramid frameworks.Experience in requirements review, design, development, quality analysis and deployment of software products using PERL, Unix Shell, C, Python, Oracle PL/SQL and MySQL within UNIX environment.Extensive knowledge in Python, MySQL, Oracle, Unix, Linux and Object-oriented Design and Programming concepts.Developed dynamic frontend and backend applications using Python Flask Frameworks.Developed E-Commerce application using HTML, CSS, JavaScript, ReactJS, SQL, Python and Flask.Wrote and executed various MYSQL database queries from python using Python MySQL connector libraries and Oracle packages for database interaction.Experience in working with AWS (Amazon Web Services) cloud platform and its features which includes EC2, IAM, EBS CloudWatch, AWS Config and AWS S3, creating and triggering AWS LambdasExtensive experience in debugging and troubleshooting complicated production issues.Researched JavaScript frameworks to replace frontend of a Flask application and began implementing a React solution.Good knowledge of Hadoop Ecosystem components like Spark, HDFS, Map Reduce, Hive, Sqoop.Worked on PySpark code using Python and Spark-SQL for faster testing and data processing.Cognitive about designing, deploying and operating highly available, scalable and fault tolerant systems using Amazon Web Services (AWS).Highly skilled in deployment, data security and troubleshooting of applications using AWS services.Experienced in implementing Organization DevOps strategy in various operating environments of Linux and windows servers along with cloud strategies of Amazon Web Services.Proficient in writing Cloud Formation Templates (CFT) in YAML and JSON format to build the AWS services with the paradigm of Infrastructure as a Code.Gained experience in deploying applications on to their respective environments using Elastic Beanstalk.Experienced with event-driven and scheduled AWS Lambda functions to trigger various AWS resources.Experience with Design, code, debug operations, reporting, data analysis and web applications utilizing Python.Experienced in web applications development using Django, Flask, DOJO, jQuery with expertise in server-side rendered applications utilizing HTML, CSS and JavaScript.Expert in developing and deploying NLP models for sentiment analysis, named entity recognition (NER), and text summarization using advanced frameworks such as spaCy, NLTK, and Hugging Face Transformers.Skilled in integrating AI-driven features into web applications, leveraging machine learning models for predictive analytics, classification tasks, and real-time data processing.Experience of software development with Python and various libraries of Python, Python-twitter, Pandas, Data frame, MySQL dB for database connectivity, Regular expression and File I/O operations etc.Skilled in Python software development with experience using various tools and libraries, including Beautiful Soup, NumPy, SciPy, PySide, python-twitter, Matplotlib, Pickle, Pandas Data Frame, urllib2, and MySQL for database connectivity. Adept at leveraging these tools to enhance the software development process.Experienced in backend Python automation, CI/CD pipelines, Docker containerization and cloud provisioning/automation.Experience in developing web applications by following Model View Control (MVC) Architecture using server-side application Django.Experienced in developing web services (WSDL, SOAP and REST) and consuming web services with Python programming language.Expertise in AWS Resources like EC2, S3, EBS, VPC, ELB, AMI, SNS, RDS, IAM, Route 53, Auto scaling, Cloud Formation, Cloud Watch, Security Groups.Hands on experience working in WAMP (Windows, Apache, MYSQL, and Python/PHP) and LAMP (Linux, Apache, MySQL, and Python/PHP) Architecture.Expertise in Production support. Provided first, second and third level support to different organizations. Used PDB and other debugging tools and deployed production hotfixes.Experienced in working with various Python IDEs using PyCharm, Spyder, NetBeans, PyStudio, PyScripter, Eric, Wing IDE and PyDev.Built enterprise-wide DNS historical data trending analysis tools in Go (Golang), Languages with REST API for user queries as microservice.Building a Command line tool to interact with RESTful API using in Golang.Worked on multi-Tier distributed Enterprise applications and data processing automation using Python.Expertise in Object-Oriented design and coding, with experience in analyzing and handling large databases using Oracle Relational Data Architecture.Working experience with cloud infrastructure of AWS (Amazon Web Services) and computing AMI virtual machines on Elastic Compute Cloud (EC2).Experience in developing Chef Cookbook for the automation of software installation and configuration of customer infrastructures.Experience in maintaining and executing build scripts to automate development and production builds.Worked with Chef to aid with deployment process and migrating in house systems to Amazon Cloud Services.Excellent analytical and problem-solving skills and ability to work on own besides being a valuable and contributing team player.Experienced in complete Software Development Life Cycle, and major aspects of technological projects, including Requirement Analysis, Design, Development, Database Design, Deployment, Testing, Debugging, and Application Maintenance.Education: Bachelors in computer science and engineering from KL University India.Certifications:AWS Certified DeveloperAzure CertifiedTechnical Skills:LanguagesPython 3.9, C, C++, Java, SQL, PL/SQL, Golang, Shell Scripting, PerlLibrariesBeautiful Soup 4, SciPy, Matplotlib, Pandas, NumPy, Seaborn, TensorFlow,AWS ResourcesEC2, S3, EBS, VPC, ELB, AMI, SNS, RDS, IAM, Route 53, Auto scaling, Cloud Formation, Cloud Watch, Security Groups, MLFlow, Sagemaker, EMR.IDEsPyCharm, PyScripter, Spyder, PyStudio, PyDev, NetBeans and Sublime Text, Eclipse.Python FrameworksDjango, Flask, web2py, Fast APIWebserversJBoss, Tomcat, WebLogic, WebSphereVersion ControlGit, CSV, subversions, Amplify, Amplify Hub.Build ToolsMaven, Pipenv,Testing FrameworksPyUnit, PyTest, Junit, Selenium, Google Test, Google Mock, Ansible.Bug Tracking ToolJira, BugzillaCloud Computing PlatformsAWS, Azure, GCP, IBM Cloud.DatabasesSQL Databases like MS-SQL, SQL Server, Oracle, MySQL and NoSQL Databases like DynamoDB, MongoDB.Monitoring ToolsCloud watch, Datadog.Automation ToolsJenkins, chef, Puppet, Ansible, Docker, Kubernetes, Terraform.Other ToolsExcel, Ms Word, Visio, PowerPoint, Oracle Data Management suite, Google Analytics, SharePoint, Salesforce CRM, Salesforce SFA, Apex Language, Apex Classes/Controllers, Apex Triggers, SOQL, SOSL.PROFESSIONAL EXPERIENCEClient: USAA, Plano, TX Jan 2023 - PresentRole: Candidate's Name
Responsibilities:Worked on REST based Application using Python, Django.Worked with AWS Cloud management and responsible for code build, release and configuration on Amazon modules.Used AWS including deploying new server instances through automation with Kubernetes and Jenkins.Have worked in Storing and consolidation of data in MongoDB using PyMongo and Created reports and charts using Pandas and matplotlib.Developed React-based front end application for easy access to client.Developed using Git and Jira for code tracking and reviewing process.Dynamic implementation of SQL server works on website using SQL developer tool.Developed orchestration mechanism for the whole workflow using AWS step Function.Established logging, error-notification and health-monitoring by taking advantages of AWS Cloud Watch Log, Lambda and AWS SES and SNS.Developed applications using Amazon Web Service like EC2, S3, cloud search, Elastic load balancer ELB, Cloud from Deploy and monitor scalable infrastructure on Amazon Web Services (AWS).Used Test driven approach (TDD) for developing services required for the application. Also implemented integration test cases.Integrated AI and NLP models into Python and Django-based web applications, improving data analysis and user interactions.Configured AWS Kinesis Data Firehose for high performance data loading to data lake.Worked on developing PySpark programs and created the data frames and worked on transformations.Created the server less REST full API using AWS Lambda and used RDS as a trigger.Have built all the database mapping classes using Django models and Apache Cassandra.Responsible for debugging the project monitored on JIRA (Agile).Deployed AI models on AWS, utilizing services like AWS SageMaker for scalable machine learning and real-time data processing.Leveraged machine learning and NLP techniques to analyze large datasets stored in PostgreSQL, MongoDB, and other databases, providing actionable insights.Created database using MySQL and Postgres, wrote several queries to extract data from database.Developed fully automated continuous integration system using Gerrit, Jenkins, MySQL and Git custom tools developed in Python.Created and deployed AI models for fraud detection and anomaly detection, significantly reducing false positives and enhancing security measures.Leveraged Amazon EMR to process large datasets efficiently and integrate with AI workflows for scalable machine learning solutions.Designed ETL Process using Informatica to load data from Excel Files and Flat Files to target Data Warehouse database.Developed python and Django based web application, PostgreSQL DB, and integrations with 3rd party email, messaging, storage services.Part of the team implementing REST API in Python using micro-framework like Flask with SQL Alchemy in the backend for management of data center resources.Developed the ETL scripts in Python to get data from one database table and insert, update the resultant data to another database table.Developed the AWS infrastructure Elastic Beanstalk to Docker with Kubernetes.Familiar with JSON based REST Web services and Amazon Web services (AWS) and Responsible for setting up Python REST API framework and spring framework using Django.Built various jobs using AWS Glues crawler capabilities to perform data cataloging and building the ETL pipelines for the target data mart.Developed SQL Queries, Stored Procedures, and Triggers Using Oracle, SQL, PL/SQL.Used SDLC process and Django for web development.Designed and developed data management system using MySQL. Built application logic using Python.Worked on development of SQL and stored procedures, trigger and function on MYSQL.Designed and developed horizontally scalable APIs using Python Flask.Implemented AI-driven ETL scripts in Python to automate data extraction, transformation, and loading, increasing efficiency and accuracy.Deployed and monitored AI models using Docker and Kubernetes, ensuring reliable and scalable infrastructure for machine learning applications.Worked on optimizing the PySpark jobs to run on Kubernetes Cluster for faster data processing.Created script in Python for calling REST APIs development via Django REST Framework.Wrote and executed various MySQL database queries from Python-MySQL connector and MySQL database package.Environment: Python 3.9, Django 4X, REST API, MySQL, Oracle 11.2, Linux, CI/CD, GitHub, PyCharm, AWS, Jenkins.Client: Elevance Health (Anthem), Norfolk, VA Sep 2020 Dec 2022Role: Candidate's Name
Responsibilities:Worked on Django Framework to develop the application and build all database mapping classes using Django models.Wrote Python scripts to parse XML documents and load the data in the database.Utilize PyUnit, the Python unit test framework, for all Python applications and used Django configuration to manage URLs and application parameters.Design and maintain databases using Python and develop Python-based API (RESTful Web Service) using Flask and PostgreSQL.Worked on functional API test cases for testing REST APIs with Postman and integrate with Jenkins server to build scripts.Create methods (get, post, put, delete) to make requests to the API server and test Restful API using Postman.Developed Web Services using SOAP for sending and getting data from the external interface in the XML format.Witten Python scripts to automate daily networking tasks like auto-config generation, retrieving information from network devices, parsing data, etc.Use of Amazon EC2 command-line interface and Bash/Python to automate repetitive work.Use of IAM for creating roles, users, and groups and implement Multi-Factor Authentication (MFA) to provide additional security to AWS accounts and its resources.Create S3 buckets/manage policies on S3 buckets and utilize S3 Glacier storage for archival and backup data.Configure S3 buckets with various life cycle policies to archive the infrequently accessed data to storage classes based on requirements.Create an AWS Lambda architecture to monitor AWS S3 Buckets and triggers for processing source data.Develop data transition programs from DynamoDB to AWS Redshift using AWS Lambda by creating functions in Python for specific events based on use cases.Developed real-time NLP applications using Flask and SQL Alchemy, managing data center resources and providing instant responses to user queries.Developed recommendation systems based on user preferences and natural language input, increasing user satisfaction and engagement.Use of AWS Beanstalk for deploying and scaling web applications and services.Responsible for Continuous Integration and Continuous Delivery process implementation using Jenkins and Python, and Shell scripts to automate routine jobs.Use Python programming and Django for the backend development, Bootstrap and Angular for frontend connectivity, and MongoDB for the database.Connect continuous integration system with GIT version control repository and continually build as the check-ins come from the developer and performed Continuous Integration with Jenkins.Import and manage multiple corporate applications into Subversion (SVN).Utilized AI tools and frameworks such as TensorFlow, PyTorch, Jupyter Notebooks, and AWS SageMaker for developing, training, and deploying machine learning models.Implement full CI/CD pipeline by integrating SCM (Git) with automated testing tool Gradle & deploy using Jenkins and Dockerized containers in production and engage in a few DevOps tools like Ansible, Chef, AWS CloudFormation, AWS Code Pipeline, Terraform, and Kubernetes.Wrote SQL queries implementing functions, triggers, cursors, object types, sequences, indexes, etc.Environment: Python, Django, Flask, Spring, AWS, (EC2, R53, S3, RDS, SNS, and IAM), Python matplotlib, Pandas, PyTest, SQL Alchemy, PyCharm, HTML, XHTML, Ajax, CSS, JavaScript, SQL, MySQL, Maven, Jenkins, Jira.Client: State of Maryland, MA July 2018 - Aug 2021Role: Python DeveloperResponsibilities:Used Django Framework in developing web applications to implement the model view control architecture.Develop consumer-based features and applications using Python, Django, pyramid, Flask, Web2py, HTML and other web technologies.Implemented web applications in Flask frame works following MVC architecture.Develop programs to automate the testing of controllers in CI/CD environment using Python, Bash script, Git, Linux command line, Java Script.Design, build and manage the ELK (Elasticsearch, Logstash, graphite, Kibana) cluster for centralized logging and search functionalities for the App.Development of Python APIs to dump the array structures in the Processor at the failure point for debugging.Worked on Dockers container snapshots, attaching to a running container, removing images, managing director structures, and managing containers. Virtualized the images by using the Docker files.Used python libraries like Beautiful Soap, NumPy and SQL Alchemy.Implemented Bash, Perl, Python scripting to automate many day-to-day tasks.Created Business Logic using Python to create Planning and Tracking functions.Used web services like Amazon Web Services (AWS) EC2, AWS S3, Auto scaling, Cloud watch and SNS.Implemented in Jenkins for Continuous Integration and for automating all builds and deployments and Build Jenkins jobs to create AWS infrastructure from GitHub repos containing Terraform code and Installed and Administered Jenkins CI for Maven Builds.Worked in NoSQL database on simple queries and writing Stored Procedures for normalization and renormalization.Implemented CI/CD pipeline using Jenkins, Ansible Playbooks and Ansible TowerDesigned and developed data management system using MYSQL.Experience in handling REST and SOAP, API Web Services and have Knowledge of Servers like Apache Tomcat and Web Logic.Integration of data storage solutions using Django ORM system for MongoDB.Used Unit Test Python library for testing many programs on python and other codes.Developed and Tested features of dashboard using CSS, JavaScript, Django, and Bootstrap.Wrote Stored Procedures in SQL and Scripts in Python for data loading.Environment: Python 3.4, 2.7, Django 1.9/1.7, SQL, Java Script, NumPy, Linux, Shell Scripting, Mongo DB HTML, Angular JS, CSS, MySQL, CI/CD, Bootstrap, Amazon S3, AWS.Client: Cox Automotive, Atlanta, GA March 2017 June 2018Role: Python DeveloperResponsibilities:Created Built application logic using Python, used the Django Framework to develop the application.Developed and tested many features for dashboard using Python, Django and JavaScript.Used Django, Flask and web2py frameworks for different internal applications.Worked with millions of database records daily, finding common errors and bad data patterns and fixing them.Managed large datasets using Panda data frames and MySQL.Utilized PyQt to provide GUI for the user to create, modify and view reports based on client data.Utilized Python libraries like wxPython, NumPy, SciPy, Web2py.Involved in writing and reviewing requirements, architecture documents, test plans, design documents, quality analysis and audits.Designed RESTful Webservices using FLASK, with emphasis on improved Security for the service using FLASK-HTTP Auth with HTTPS.Wrote Python normalizations scripts to find duplicate data in different environments.Used Pandas API to put the data as time series and tabular format for east timestamp data manipulation and retrieval.Wrote and executed various MySQL database queries from python using Python-MySQL connector and MySQL dB package.Implemented a continuous delivery pipeline with Jenkins and Git to build a new Docker container automatically.Worked with various Python integrated development environments like PyCharm.Used Restful Web services for integration with many monitoring devices.Utilized Agile process and Jira issue management to track sprint cyclesEnvironment: Python, Django, Flask, wxPython, NumPy, SciPy, Web2py, Panda data frames, PyCharm, PyUnit, MySQL, JavaScript, Jenkins, Git, Agile, Jira.Client: Invesco, Hyderabad, India June 2014 Feb 2017Role: Data EngineerResponsibilities:Maintained Automated Scripts and troubleshoot their issues for each site release, feature and small enhancement project.Designed front end & backend of the application utilizing Python on Django Web Framework.Designed and maintained databases using Python and developed Python based API (RESTful Web Service) using Django and NumPy and involved in the development ORM Queries.Used Python and Django creating graphics, XML processing, data exchange and business logic implementation.Implemented user interface guidelines and standards throughout the development and maintenance of the website using HTML, CSS, JavaScript and JQuery.Worked on various Integrated Development Environments like PyCharm and Jupyter Notebook.Written scripts using python modules and their libraries to develop programs that improve the processing of access requests.Utilized PyUnit, the Python Unit test framework, for all Python applications and used Django Database API's to access database objects.Designed data visualization to present current impact and growth of the department using python package Matplotlib.Used Python modules like NumPy, Matplotlib, and Pandas for generating complex graphical data, creation of histograms, etc.Used Python and Pandas library, built data analysis graph for documentation and record.Designed RESTful Webservices using Django, with emphasis on improved Security for the service using HTTP Auth with HTTPS.Worked on tuples, dictionaries, object-oriented concepts-based inheritance features for making algorithms.Built SQL queries for performing various CRUD operations like create, update, read, and delete using SQL Server.Wrote Python modules to extract/load asset data from the MySQL source database.Performed different calculations like Quick table calculations, Date Calculations, Aggregate Calculations, String, and Number Calculations.Managed code versioning with GitHub and deployment to staging and production servers.Utilized Agile process and JIRA issue management to track sprint cycles.Environment: Python, Django, Pandas, NumPy, Matplotlib, RESTful, PyCharm, Jupyter Notebook, SQL, MySQL, HTML, CSS, JavaScript, GitHub, Jira, Agile |
