Venkata Kumar Email & Phone Number

Nashville, Tennessee, United States

➤Developed and optimized web applications using Python, Django, and Flask frameworks for both front-end and back-end solutions.➤Designed and implemented RESTful services and microservices, deploying on AWS (EBS, EC2) and Azure for high-performance cloud-based applications.➤Built and automated CI/CD pipelines for seamless code deployment using Jenkins, Git, Gerrit, and Azure DevOps.➤Developed and deployed scalable, containerized services to improve fault tolerance and performance.➤Worked with Python packages such as Paramiko, Regular Expression, and sockets to automate processes and scripts.➤Led the design and implementation of security monitoring in VPC zones using AWS Lambda and customized Node.js applications.➤Developed custom business logic and automation scripts using Groovy, Shell, and Python to optimize server operations.➤Integrated various technologies like Spark-SQL, Scala, and Akka Actor System to process large-scale data and generate performance reports.➤Migrated databases between SQLite, MySQL, and PostgreSQL ensuring data integrity and performance optimization.➤Built full-stack solutions using Node.js, Express, Angular, and MongoDB, with deployment on Azure and AWS.➤Developed Python APIs, automated testing frameworks, and customized web services to meet client requirements.➤Worked on database management with MongoDB, MySQL, and SAP HANA, optimizing queries and performing backups.➤Experience with LAMP architecture, working with Python OOD code for logging, debugging, and code optimization.➤Automated tasks and processes using PowerShell, Shell scripting, and Python across Linux/Windows servers.➤Collaborated in the development of real-time GUI applications, handling complex financial data in Bank of America's Quartz environment.➤Extensive experience in Agile methodology, JIRA for project tracking, and working in fast-paced, high-stakes environments.

Portland, Oregon, United States

• Collaborated closely with architects during requirement gathering and design, modeling entire frontend and backend modules using Python and Django Web Framework.• Developed automation tools using Python, Shell scripting, and XML to streamline tasks and improve efficiency.• Built and implemented machine learning models and statistical algorithms (decision trees, logistic regression, Gradient Boosting Machines) using Python, scikit-learn, and R for data analysis and prediction.• Created and deployed RESTful and GraphQL APIs using Django, Flask, and AWS infrastructure (Lambda, Aurora, API Gateway) for fully functional, scalable applications.• Worked on full-stack development using React.js, Node.js, and GraphQL with hands-on experience in Microsoft Azure and AWS for cloud deployments.• Designed the UI of websites using HTML5, CSS3, JavaScript, and Bootstrap to enhance user experience, integrating with Python and Django for dynamic content management.• Implemented continuous integration (CI) systems using Git, Jenkins, and MySQL, improving team collaboration and deployment speed.• Developed and managed databases (MySQL, PostgreSQL) for various applications, optimizing performance with SQL and data mapping techniques.• Built scalable solutions using AWS services (EC2, S3, Redshift, ELB) and Python libraries like Boto3 and NumPy to handle large datasets and perform statistical analysis.• Led the migration of applications to cloud platforms (Google Cloud, AWS) and broke down monolithic architectures into microservices for better performance and scalability.• Worked on various Python libraries (Pandas, NumPy, Matplotlib) for data analysis, visualizations, and statistical computations.• Experience with machine learning model deployment and working on PySpark, AWS, and Kubernetes for efficient data processing and model management.• Utilized Python and Django with jQuery UI for building interactive, data-driven web interfaces and managing content workflows.

Charlotte, North Carolina, United States

• Developed back-end components using Python 3.7 with Django 1.7 framework and front-end using HTML5, CSS3, and JavaScript to enhance web application responsiveness and performance.• Worked extensively with SQL queries and database management systems such as PostgreSQL to optimize data handling and storage.• Integrated Python IDEs like Eclipse, IntelliJ, Sublime Text, and PyCharm for seamless application development.• Set up integrated testing environments for ETL applications by installing data sources like SQL-Server, Cassandra, and remote servers using Docker containers.• Automated infrastructure activities using Ansible Playbooks and Python SSH Wrapper for configuration management on Azure, including continuous deployment and server setup.• Developed new features and enhancements for web applications using Python/Django, and automated the development environment using Ansible.• Managed infrastructure for projects using Ansible, Redis, Postgres, and Celery, focusing on optimizing memory and performance for ETL applications.• Built and optimized GraphQL servers, resolvers, schemas, and data sources to interact with OpenShift APIs and enhanced TypeScript code-gen for server- and client-side applications.• Leveraged Google Cloud Platform (GCP) services like Compute Engine, Cloud Storage, Cloud SQL, and Stackdriver Monitoring to ensure high availability and scalability.• Provisioned RHEL and SUSE servers for SaaS-based applications using Chef recipes and supported IPTV/IP Video SaaS solutions for enterprise-level clients.• Developed and maintained dynamic web pages and dashboards using Python, Django, Flask, and JavaScript, delivering responsive, user-friendly interfaces for different clients.• Automated deployment of Azure resources using Python scripts, Cloud templates, and Azure DevOps for continuous integration and delivery.

New York, New York, United States

• Established user interface guidelines and standards using HTML, CSS, JavaScript, and jQuery, improving website design and user experience.• Implemented real-time color and movement detection using API modules, providing theft alerts for home security systems.• Developed user-friendly website interfaces using Python and Django’s view controller and templating language, ensuring optimal performance.• Refactored Python/Django modules for data formatting, improving efficiency and maintainability.• Managed and queried large datasets using Panda data frames, Python-MySQL connector, and MySQL DB package for data retrieval and analysis.• Experienced with handling REST and SOAP API web services and knowledgeable in servers like Apache Tomcat and WebLogic.• Reviewed code in Shell Script, Perl, Python, JavaScript, AWK, C++, PL/SQL, and T-SQL, optimizing database triggers, cursors, and subprograms for performance.• Coordinated cross-functional teams, including Development, API, QA, and Product Management, to ensure smooth project delivery.• Designed Python scripts to load transformed data into cloud services (AWS, Azure, GCP), automating data handling and storage processes.• Developed Python parsers to extract and load useful data from XML documents and design databases.• Created Python APIs to dump array structures for debugging purposes and engineered data processing pipelines using GCP and OpenSlide APIs for large-scale data preprocessing.• Developed solutions using C, C++, multi-threading, and Shell scripting for system efficiency and performance.• Handled REST APIs to retrieve network data from data centers, ensuring reliable data communication.• Developed web services using SOAP and XML for external data exchange, integrating seamlessly with external systems.• Worked with Python libraries such as pydicom to parse medical imaging data, improving healthcare application workflows.

Oakland, California, United States

• Developed Python-based RESTful APIs for event tracking and analysis using Django, ensuring efficient data handling and communication with third-party services.• Created Python/Django web applications utilizing Python scripting for data processing, MySQL for database management, and HTML/CSS/jQuery/High Charts for data visualization.• Designed and developed dynamic user interfaces using HTML, AJAX, CSS, and JavaScript, improving user experience and interactivity.• Integrated Amazon AWS services such as S3 and RDS for hosting static/media files and databases, improving application scalability and availability.• Worked on Unix socket programming for client-server applications and implemented Linux server virtualization, creating VMs for server consolidation.• Automated data processing tasks using Perl/Python to read and write data from CSV and Excel file formats.• Utilized Python libraries such as BeautifulSoup, NumPy, and SQL Alchemy to streamline data processing and analysis.• Integrated asynchronous processing with Celery and RabbitMQ for third-party services, optimizing backend processes.• Worked with routing protocols and platforms like TCP/IP, Cisco, and Juniper OS, and implemented Oracle to PostgreSQL migration tasks.• Developed both backend functionality in PHP and frontend user interfaces using JavaScript, Ajax, jQuery, Bootstrap, and PHP, enhancing web applications.• Designed Cassandra schemas for APIs and parsed XML files with Python to extract data from databases.• Worked on OpenStack API and NoSQL databases, following Python test-driven development techniques for cloud services.• Developed web traffic statistical analysis tools using Flask and Pandas, and implemented MongoDB Monitoring Service (MMS) with customized dashboards for real-time insights.• Built SOAP-based web services for integrating legacy and new applications, ensuring seamless data exchange in XML format.

Hyderabad, Telangana, India

Developed Python Django forms for user data recording and built the Login module to enhance user authentication.• Designed and executed email marketing campaigns, integrating interactive forms to capture data into databases using the Django framework.• Automated the processing of payer acknowledgments for medical claims, using PERL and DBI modules to streamline resubmissions.• Worked with technologies like QT, JavaScript, QML, C++, QNX, UML API, and JSON, alongside writing unit tests to ensure quality code.• Utilized Python collections for object manipulation and implemented Test Driven Development (TDD) using Behave.• Tested RESTful APIs like Facebook and Twitter, writing Python routines to log in and fetch data from websites based on user-selected options.• Optimized data processing by modifying functions, queries, triggers, and stored procedures for MySQL databases, improving performance.• Extracted data from XML files using PERL-XML modules for efficient data handling.• Developed a consumer-friendly front-end with a fast-access RESTful API for seamless interaction between users and services.• Implemented JSON-based REST web services and embedded AJAX in the UI for dynamic page updates, avoiding full-page reloads.• Designed user-friendly website interfaces using Python, Django’s view controller, and templating language.• Leveraged AWS services, including S3 and RDS, for cloud-based storage and database management, improving application scalability and performance.• Participated in the full SDLC, using PHP for backend website functionality and HTML, XHTML, CSS, and JavaScript for frontend design.• Built complete frontend and backend modules using Python on Django Web Framework, with integrated Django APIs for database access.• Developed a GUI using PyQt to allow users to create, modify, and view reports based on client data.• Extracted and processed XML data using Python for backend operations.