Python Developer Real-Time

Meghana Kalikota

Python Developer

*****************@*****.*** 203-***-**** LinkedIn - https://www.linkedin.com/in/meghana-kalikota/

Professional Summary:

•Experienced Python Developer with over 4 years of expertise in software development, backend and fullstack development, and automation.

•Strong experience in CI/CD pipelines, API development, containerization, and cloud computing (AWS, Azure, GCP).

•Extensive work in microservices architecture, distributed computing, big data technologies (Hadoop, Spark, Databricks), and real-time data streaming (Kafka, RabbitMQ).

•Expertise in database management (SQL: MySQL, PostgreSQL NoSQL: MongoDB, Cassandra, Redis), data modeling, and high-performance computing.

•Strong foundation in Linux system administration, automation (Terraform, Ansible, Bash Scripting), and IT operations.

•Proven experience in building AI-powered applications, optimizing LLM fine-tuning and inference, and implementing real-time RAG pipelines for enhanced knowledge retrieval.

•Skilled in Python, Node.js, and Java for developing scalable backend solutions. Proficient in real-time data ingestion, ETL pipelines, and cloud-based IoT architectures using AWS Lambda, Timestream, and S3.

•Hands-on experience with front-end development (React, Angular, Svelte, Ember.js), RESTful APIs, GraphQL, and server-side rendering (SSR, SSG).

•Proven ability to work in cross-functional teams, collaborate with business stakeholders, and deliver highquality, scalable software solutions.

•Passionate about solving complex problems, improving application performance, and driving innovation in financial and enterprise applications.

Technical Skills:

•Programming Languages: Python (Django, FastAPI, Flask), Java, JavaScript (React, Angular, Svelte, Ember.js), HTML5, CSS3

•Frameworks & Libraries: Django, FastAPI, Flask, Pandas, NumPy, Spring Boot, TensorFlow, PyTorch

•Cloud Platforms: AWS (EC2, S3, Lambda, RDS, ECS), Azure (Functions, DevOps, Synapse Analytics), GCP (Cloud Functions, Vertex AI)

•Databases: SQL (MySQL, PostgreSQL, SQLAlchemy), NoSQL (MongoDB, Firebase, Cassandra, CosmosDB)

•Big Data & Streaming: Hadoop, Spark, Databricks, Kafka, RabbitMQ

•DevOps & CI/CD: Docker, Kubernetes, Jenkins, Bitbucket Pipelines, GitHub Actions, Terraform, Ansible

•Monitoring & Security: Grafana, Prometheus, CloudWatch, SCI environments, Cybersecurity best practices

•Version Control & Collaboration: Git, GitHub, Bitbucket, Jira, Agile/Scrum methodologies

•Web & API Development: RESTful APIs, GraphQL, Server-side Rendering (SSR), Static Site Generation (SSG)

•Industrial IoT & Automation: MQTT, OPC-UA, AWS IoT, Google Cloud IoT

Professional Experience:

Centene Corporation, Irving, TX (02/2024 - present)

Full Stack Python Developer

•Designed and developed scalable and secure RESTful APIs using FastAPI, Flask, and Django REST Framework (DRF), improving service modularity.

•Developed, tested, and deployed Python-based full-stack applications, collaborating with Agile teams to deliver high-quality software solutions.

•Designed and implemented scalable microservices architectures, utilizing Docker and Kubernetes for seamless deployment and container orchestration.

•Managed and optimized virtual machines using GCP Compute Engine, configuring auto-scaling and load balancing with GCP Cloud Load Balancing.

•Built and maintained CI/CD pipelines using Jenkins, GitHub Actions, and Terraform, automating deployments and improving release cycles.

•Built and integrated ML models into production systems for real-time predictions using AWS SageMaker or Google AI Platform.

•Performed data cleaning, preprocessing, and feature extraction using Pandas, NumPy, and scikit-learn to ensure high-quality input for ML models.

•Developed custom fine-tuned LLMs using Hugging Face Transformers and open-source models for domain-specific applications.

•Designed scalable AI solutions for fraud detection, risk analysis, and automated decision-making in fintech applications.

•Engineered cloud-based solutions on AWS, working with services like Lambda, API Gateway, EC2, S3, RDS, DynamoDB, and IAM to optimize performance and scalability.

•Integrated NoSQL (MongoDB, Cassandra) and SQL (PostgreSQL, MySQL) databases to support high- performance, data-driven applications.

•Designed, developed, and maintained scalable full-stack applications using TypeScript, Node.js, and JavaScript frameworks (React, Angular, NestJS).

•Built and optimized RESTful and GraphQL APIs with TypeScript and Node.js, ensuring high performance and scalability.

•Automated artifact deployment to Nexus using Gradle/Maven, ensuring a secure and efficient release pipeline.

•Developed and optimized RESTful APIs and event-driven architectures, leveraging Kafka, AWS SNS/SQS, and Kinesis for real-time data streaming.

•Collaborated closely with digital product managers to design and deploy robust cloud-based solutions that drive customer engagement.

•Developed and maintained Gradle/Maven build scripts to automate dependency management, testing, and packaging.

•Optimized Gradle builds using parallel execution, caching, and dependency resolution strategies for faster compilation.

•Implemented data modeling and complex SQL queries to enhance database efficiency and query performance.

•Stayed ahead of technology trends, actively experimenting with Python frameworks, cloud technologies, and DevOps tools to improve application efficiency.

•Advocated Agile best practices, contributing to Scrum/Kanban teams, leading sprint planning, and ensuring continuous delivery.

•Ensured code quality and security compliance, writing unit and integration tests and utilizing static code analysis tools.

•Contributed to technology communities, mentoring junior engineers, sharing insights, and participating in discussions on Python development and cloud computing.

•Designed and implemented ETL pipelines to process, transform, and load large-scale datasets efficiently.

•Developed data ingestion frameworks using Python, Apache Spark, and AWS Glue, optimizing data processing workflows.

•Automated ETL workflows using Airflow, Prefect, and Step Functions, ensuring data integrity and monitoring.

•Created and presented detailed reports and dashboards using Tableau, Power BI, or similar tools, providing insights for business decision-making.

•Developed custom data visualizations, KPIs, and drill-down reports to provide real-time insights for decisionmaking.

•Integrated Tableau/Power BI with SQL databases, AWS Redshift, and REST APIs to automate data retrieval and reporting.

•Created DAX and Power Query transformations to optimize data modeling and report performance in Power BI.

•Designed and optimized database queries and procedures in PostgreSQL to improve query performance.

•Developed full-stack applications using Java (Spring Boot), Angular, and Python, improving system efficiency.

•Developed and maintained test automation frameworks using Python and pytest to enhance software reliability.

Franklin University, Columbus, Ohio

Python Developer (08/2023 - 02/2024)

•Developed a full-stack web application using Python (Flask) and JavaScript (React/Angular) for specific functionality.

•Designed and implemented RESTful APIs to enable seamless communication between the frontend and backend.

•Built an ETL pipeline using Python and AWS Redshift to process and analyze large datasets efficiently.

•Developed interactive dashboards using Tableau/Power BI, visualizing complex datasets for better insights.

•Deployed the application on AWS (EC2, Lambda, RDS, S3, API Gateway), ensuring high availability and scalability.

•Automated CI/CD pipelines using Jenkins and GitHub Actions, reducing deployment time.

•Containerized the application using Docker and Kubernetes, ensuring portability and efficient resource allocation.

•Implemented AWS IAM roles and security best practices to restrict unauthorized access.

•Designed and optimized SQL queries for PostgreSQL/Redshift to improve query performance.

•Created Kubernetes (EKS, GKE) deployment manifests and Helm charts to manage containerized Python applications in cloud environments.

•Monitored application health and performance using Python-based observability tools such as Prometheus, Grafana, ELK (Elasticsearch, Logstash, Kibana), and AWS CloudWatch.

•Conducted unit testing and integration testing using PyTest and Selenium, improving code reliability.

•Developed machine learning models using TensorFlow/Scikit-learn for prediction/classification task.

•Integrated third-party APIs (Stripe, Twilio, OpenAI, etc.) to enhance project functionality.

•Implemented serverless computing using AWS Lambda, reducing infrastructure costs and improving efficiency.

•Followed Agile methodologies (Scrum, Kanban) and used JIRA/Trello for project management.

•Wrote detailed technical documentation and user manuals, improving project maintainability.

•Built RAG-based AI solutions combining LLMs with vector databases (Pinecone, FAISS, Weaviate, ChromaDB) for contextual and knowledge-aware responses

•Developed and deployed Python applications on AWS, Azure, and GCP, leveraging EC2, Lambda, API Gateway, RDS, DynamoDB, and S3 to build resilient cloud-based architectures.

•Developed responsive and dynamic UI components using React.js and Angular, improving user experience.

•Utilized React Hooks and Redux Toolkit for efficient state management and performance optimization.

•Implemented lazy loading and code-splitting in React.js/Angular to enhance application performance.

•Integrated frontend applications with RESTful APIs for seamless data fetching and real-time updates.

•Designed and optimized SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB) with Python ORMs (SQLAlchemy, Django ORM, Pydantic) to efficiently store and retrieve structured and semi-structured data.

•Automated database migrations and schema management using Python-based tools such as Alembic and Flyway.

•Developed unit and integration tests using PyTest, Unittest, and Selenium, improving code reliability.

•Automated API testing with Postman, PyTest, and Newman CLI, ensuring robust backend performance.

•Implemented load testing and performance monitoring using Python-based tools like Locust and JMeter.

Kony Inc, Hyderabad, India (09/2020 – 12/2022)

Python Developer, SDE

•Developed and maintained cloud-based applications using Python (Django, FastAPI, Flask) and JavaScript (React, Angular).

•Implemented Terraform-based infrastructure provisioning, streamlining cloud resource management.

•Monitored and logged application performance using Datadog, ELK, and Splunk, ensuring system reliability.

•Built event-driven AWS Lambda functions to process IoT sensor data in real time.

•Configured and maintained Sonatype Nexus Repository for hosting internal/external dependencies and artifacts.

•Integrated Nexus with Jenkins, GitHub Actions, and AWS CodeBuild to streamline artifact management in CI/CD.

•Developed and tested CI/CD pipelines within IDEs, integrating unit testing, linting, and build automation.

•Built event-driven microservices using Spring Boot and Kafka for real-time data streaming.

•Developed FastAPI-based RESTful APIs for fleet management and real-time vehicle tracking.

•Implemented batch and stream processing solutions using Apache Spark and PySpark for scalable

•Developed server-side applications using C# (.NET Core, ASP.NET) for enterprise solutions, integrating with databases and cloud services.

•Conducted product testing, usability testing, and UAT using Selenium and automation frameworks, ensuring quality releases.

•Integrated Dynatrace with Kubernetes (EKS, GKE) and Docker, providing real-time insights into containerized workloads.

•Developed and integrated AI/ML models and LLM-based solutions to enhance automation, data analysis, and intelligent decision-making in applications.

•Built and optimized REST APIs, integrating them with frontend components for seamless user experiences.

•Designed and implemented big data solutions using Apache Spark, Hadoop, and Azure Data Services.

•Built and optimized high-performance backend microservices in Python and C++, leveraging multithreading and asynchronous processing for large-scale data applications.

•Designed and implemented RESTful APIs and GraphQL endpoints for seamless integration between frontend applications and cloud-based backends.

•Developed and optimized complex SQL queries for data extraction, transformation, and reporting, ensuring data accuracy and integrity across various RDBMS such as MySQL, PostgreSQL, SQL Server, and Oracle.

•Designed and implemented database schemas based on data modeling principles, ensuring adherence to

normalization standards for efficient data storage.

•Led the automation of data testing processes using automation frameworks and tools, significantly reducing manual testing efforts and increasing overall testing efficiency.

•Conducted performance tuning and query optimization to enhance database efficiency, which resulted in reduced processing time for large datasets.

•Collaborated with cross-functional teams to perform data quality assessments, identifying discrepancies and implementing corrective actions.

•Mentored junior team members in best practices for SQL development, data modeling, and performance tuning, fostering a collaborative and knowledge-sharing environment.

•Developed comprehensive documentation for data processes, including ETL workflows, test cases, and data lineage for compliance and audit purposes.

•Gained exposure to Terraform and infrastructure automation to improve deployment efficiency.

•Followed Agile methodologies, participating in sprint planning, daily stand-ups, and retrospectives.

•Ensured code quality, performance, and scalability by applying design patterns and best practices.

•Provided application development and production support, troubleshooting and resolving system issues.

•Worllmked in a global delivery environment, coordinating with offshore and onsite teams

•Designed and implemented custom XML schema definitions (XSD) for structured data processing in enterprise applications.

•Integrated PHP-based web applications with MySQL and PostgreSQL, ensuring efficient database operations.

•Used Axios and Fetch API for efficient API calls and handled request/response lifecycle effectively.

Designed server-side rendered (SSR) applications with SvelteKit, reducing bundle size and improving SEO performance.

ECIL, Hyderabad, India (01/2020 – 06/2020)

Python Intern

•Assisted in Python application development and debugging.

•Worked with Pandas and NumPy for data processing and analysis.

•Built basic web scraping applications using BeautifulSoup and Selenium.

•Gained experience with Git version control, collaborating on projects.

•Contributed to unit testing using PyTest and Unittest.

Education:

Franklin University – Master’s in Information Technology (Cyber Security)

Jawaharlal Nehru Technological University – Bachelor’s in Computer Science

Contact this candidate