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MEETAmeeta.mohanStreet Address gmail.com / PHONE NUMBER AVAILABLESUMMARYOver 7+ years of experience in Python backend development, including building scalable and maintainable systems with Python Proficient with frameworks like Django and Flask for developing robust backend solutions.Proficient in creating dynamic and responsive web interfaces with JavaScript, HTML5, and CSS, which enhance user engagement and accessibility. Utilized frameworks such as React or Angular to streamline UI development and deliver modern, high-performance experiences.Experience with AWS EC2 for computing, S3 for scalable storage, and Lambda for serverless computing. Ensures reliable, scalable, and efficient cloud-based solutions. Adept at managing cloud resources and optimizing environments. Focused on deploying and maintaining cloud applications effectively.Expertise in managing relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB), optimizing schema designs, queries, and ensuring efficient data storage and retrieval. Adept at ensuring data integrity and performance.Proven ability to design and develop robust RESTful APIs, integrating with various front-end systems and third-party services to enable seamless data exchange and functionality. Skilled in implementing industry standards for API development. Focused on delivering reliable and high-quality API solutions.Skilled in Docker for containerizing applications, ensuring consistency across environments and facilitating easy deployment and scaling. Proficient in Kubernetes for orchestrating containers, managing deployment, scaling, and ensuring high availability while optimizing resource use.Proficient in configuring Jenkins for seamless integration with various tools and managing complex deployment environments. Focused on improving deployment efficiency and reducing time-to-market for software releases.Integrated automated testing into CI/CD pipelines to ensure code quality and functionality, using frameworks such as Unittest and Pytest for comprehensive coverage and early issue detection. Focused on automating build, test, and deployment processes.Skilled in applying agile methodologies, including Scrum and Kanban, to manage project workflows effectively. Focused on iterative development, delivering incremental improvements, and adapting to evolving project requirements. Proven track record of delivering projects on time and within scope.PROFESSIONAL EXPERIENCESr. Python Backend EngineerJP Morgan, Remote June 2022 - PresentProject: Led the backend development for a financial analytics platform, creating a system with microservices for better scalability. Improved how data is processed and stored, making it more efficient. Set up automatic deployment and built secure APIs for smooth data access. Enabled real-time updates to keep financial information current.RESPONSIBILITYUsed Python to build scalable backend services, optimizing code performance and improving data processing in distributed systems. Focused on efficient, high-performance solutions for complex applications.Expertly applied Python for high-performance backend applications, implementing complex business logic, managing API interactions, and driving data-intensive workflows in a cloud environment.Designed and optimized enterprise-level RESTful APIs using Django, enhancing performance, security, and scalability for critical backend systems integrated with data pipelines and machine learning models.Developed custom SQL scripts to automate complex data transformations within ETL workflows, enhancing data quality and consistency.Coordinated the integration of SQL-driven data validation checks within ETL processes, ensuring that only clean and verified data is loaded into the target systems.Applied CSS for consistent styling and responsive design, enhancing the visual appeal of web interfaces and improving data visualization dashboards.Engineered serverless architectures with AWS Lambda, using API Gateway for scalable, low-latency API services. Implemented event-driven processing and automated workflows, significantly cutting infrastructure costs and improving system responsiveness.Managed relational databases such as PostgreSQL, optimizing complex queries and schema designs to improve data retrieval efficiency. Used Django ORM to streamline data interactions and support robust application development.Enhanced CI/CD workflows using Docker and Docker Compose for containerization, improving deployment consistency and scalability. Integrated Jenkins with containerized builds to automate testing and deployment across different environments.Led testing efforts using Unittest for complex distributed systems, ensuring reliable functionality by covering critical paths and edge cases. Managed test suites within Jenkins pipelines to maintain code stability across deployments.Architected and led the implementation of microservices, leveraging event-driven design patterns to decouple services, enabling seamless communication and fault tolerance across the system.Led the design and implementation of scalable data pipelines using Apache Spark, managing real-time data ingestion and processing for financial analytics, and integrating Spark with ETL workflows and cloud infrastructure.Designed and optimized complex Jenkins pipelines, orchestrating automated builds, tests, and deployments across distributed systems, ensuring seamless integration and delivery across microservices.Oversaw Agile transformation initiatives, implementing best practices for Scrum and mentoring team members on Agile methodologies to improve project delivery and adaptability.Python Backend EngineerCisco, Remote March 2020 - May 2022Project: Developed a backend system for automating network management and monitoring, aimed at improving operational efficiency. Built and deployed modular microservices to handle network tasks and data integration. Created APIs for seamless communication between tools and user interfaces. Streamlined deployment processes to ensure consistent and reliable application releases.RESPONSIBILITYLed the design and development of microservices architecture using Python framework Flask, optimizing for high performance and scalability in data processing workflows.Leveraged Python as the core programming language for developing scalable backend services, focusing on optimizing code performance and enhancing data processing capabilities within distributed systems.Engineered ETL pipelines to extract and transform unstructured data from NoSQL databases, enabling seamless integration with downstream analytics platforms.Designed and implemented custom ETL solutions for scalable data storage and retrieval in NoSQL environments, supporting high-velocity data streams.Utilized HTML5 for responsive layouts and content structuring, ensuring cross-browser compatibility and optimized user experience for web applications.Utilized AWS S3 for secure, scalable storage solutions, setting up bucket policies, versioning, and lifecycle rules to manage data retention and archival.Employed MongoDB for NoSQL data storage, designing data models and indexes to efficiently handle unstructured data. Integrated MongoDB with backend services to support flexible data management and enhance application performance.Utilize Docker for containerization, encapsulating microservices and their dependencies to ensure consistency across different environment.Employed Unittest to create test cases for microservices built with Flask, covering API endpoints and backend logic. Integrated tests with Jenkins to automatically run tests during CI builds.Developed and optimized data pipelines using PySpark for processing large datasets and focusing on distributed data transformations.Integrated Jenkins into the CI/CD process, setting up multi-stage pipelines for testing, containerization, and deployment of microservices to various environments.Software EngineerTCS, Remote April 2016  Feb 2020RESPONSIBILTYDeveloped and maintained web applications using Python with Django for monolithic structures and lightweight microservices, ensuring robust, maintainable, and scalable codebases.Developed and maintained RESTful APIs using Django, enabling communication between backend services and frontend applications while ensuring adherence to REST principles and security standards.Collaborated with database administrators to integrate stored procedures into ETL workflows, streamlining complex data manipulations and reducing processing overhead.Leveraged React.js to create dynamic UI components, enhancing user engagement by providing real-time updates and a seamless user experience in web applications.Utilized AWS S3 for scalable data storage to monitor stock levels and prevent backorders, while deploying applications on AWS EC2 with Auto Scaling configuration to efficiently manage varying workloads and optimize instance performance.Managed relational databases such as MySQL, optimizing complex queries and schema designs to improve data retrieval efficiency. Used Django ORM to streamline data interactions and support robust application development.Implemented basic CI/CD pipelines using Jenkins, automating build, test, and deployment processes to ensure smooth integration and delivery of updates. Managed application deployments and environment configurations to streamline releases.Utilized Unittest for writing unit tests, focusing on validating Django model logic and view functions. Automated test execution to identify code issues during early development stages.Utilized Git for version control, managing branching strategies, code reviews, and collaboration across the development team using platforms like GitHub.