Sanjana Shivakumar Email & Phone Number

United States

Developed and optimized ETL pipelines using Python, Pandas, and AWS Glue to automate data ingestion, transformation, and loading processes, improving data workflow efficiency and scalability in cloud-based environments.Designed, developed, and deployed RESTful APIs for seamless system-to-system data integration, enhancing application interoperability and reducing latency in distributed architecture environments.Managed AWS infrastructure, including EC2, S3, and RDS, optimizing resource allocation and implementing best practices for security and access management, ensuring efficient and secure cloud operations.Designed and developed web services, micro services deployed/running on cloud technologies like Pivotal Cloud Foundry (PCF) and AWS (Amazon Web Services). Created and published REST web services using AWS API gateway. Deployed application as a service on AWS EC2(Elastic Compute Cloud) using kubernetes and docker. Used AWS CloudWatch for monitoring health and performance of application services and AWS CloudTrail for verifying logs and debugging any application errors.Automated CI/CD pipelines with Jenkins, Docker, and GitLab, streamlining build, testing, and deployment workflows, ensuring consistent code quality, faster release cycles, and improved system reliability.Collaborated with cross-functional teams to lead DevOps initiatives, implementing infrastructure automation and monitoring solutions to improve system uptime, reduce incident response times, and enhance overall system performance.Enhanced application performance by optimizing SQL queries, indexing strategies, and implementing advanced caching mechanisms, significantly improving data retrieval times and reducing overall system load.Optimized Tableau report performance by reducing load time through efficient use of indexed data sources, optimizing calculated fields, minimizing table joins, and applying context filters.

United States

Led troubleshooting efforts, fixing and deploying numerous Python bug fixes for critical applications, thereby improving stability and performance for both customers and internal customer service teams.Managed AWS resources via the cloud management console and Spinnaker, authoring Python scripts with Boto3 for EC2 and CloudFormation, enhancing operational efficiency and system reliability.Engineered web applications using the Django framework, emphasizing code quality, logging, and debugging to ensure robust application performance.Deployed and managed web applications on AWS EC2 instances, achieving high availability and reliability. Optimized AWS S3 for secure and scalable storage solutions, efficiently managing large datasets and backups.Designed and implemented cloud-based solutions using AWS CloudFormation for infrastructure as code, automating deployments and environment setups to reduce manual intervention.Developed and maintained APIs with Django and Python, employing AWS API Gateway to streamline RESTful services management, enhancing application connectivity and scalability.Utilized AWS CloudWatch for proactive monitoring and logging of application performance, enabling timely issue resolution and performance optimization.Applied Python Collections for advanced data manipulation and developed Spark code for data processing, managing large databases with MySQL through Python-MySQL connectors.Implemented data visualization techniques using Python libraries like Numpy and Matplotlib, alongside developing automation frameworks with Python and Shell scripting to fix bugs and optimize application performance.Built Docker containers for efficient development and deployment, writing Python modules to interact with Apache Cassandra for effective data retrieval and management.Actively participated in daily Agile meetings, fostering collaboration among developers and stakeholders to meet project requirements and deadlines.

United States

Conducted comprehensive data gathering through experiments, surveys, and literature reviews; analyzed data using statistical software Python to draw meaningful conclusions.Performed extensive literature reviews to inform research projects, summarizing key findings and identifying gaps in current knowledge.Assisted in designing research methodologies and protocols, ensuring adherence to ethical standards and institutional guidelines.Conducted experiments or simulations, maintaining detailed records of procedures and results, and troubleshooting any issues that arose during the research process.Authored and contributed to research papers, reports, and presentations, effectively communicating complex information to diverse audiences.Collaborated with faculty, graduate students, and other research assistants to coordinate research activities and foster a team-oriented environment.Assisted in managing research timelines and project deliverables, ensuring milestones were met and resources were allocated efficiently.Presented research findings at departmental meetings or conferences, effectively communicating insights and engaging with the academic community.Supported the preparation of grant proposals, including drafting sections, compiling supporting documents, and ensuring compliance with submission guidelines.

India

Built and automated resilient ETL pipelines using Python and AWS Lambda, optimizing data extraction, transformation, and loading across cloud systems, ensuring scalability and seamless integration with distributed data workflows.Engineered and managed MySQL and PostgreSQL databases, enabling efficient data storage and processing for large- scale applications, while ensuring data integrity, optimized query performance, and high availability.Developed RESTful and FastAPI-based backend services to automate workflows and enable efficient data exchange between cloud services and internal systems, improving cross-platform interoperability and reducing latency.Deployed and maintained scalable cloud-based storage solutions using AWS EC2, S3, and RDS, optimizing performance, ensuring high availability, and delivering cost-efficient infrastructure for large-scale, data-driven applications.Automated cloud infrastructure provisioning using CloudFormation and Terraform, significantly reducing manual intervention, improving deployment speed, and ensuring consistent, reliable resource allocation across AWS environments.Designed and implemented microservices architecture with FastAPI, enhancing the scalability, fault tolerance, and maintainability of backend services, supporting high-volume, distributed data processing workflows.Designed and implemented GraphQL APIs, enabling clients to fetch data in a flexible and efficient manner, reducing over-fetching and under-fetching issues common in REST APIs.Optimized query performance in GraphQL by leveraging efficient data fetching strategies, such as batching and caching, to improve API response times and reduce server load.Streamlined DevOps processes by optimizing CI/CD pipelines using Jenkins and Docker, automating the build, testing, and deployment cycles, leading to faster, error-free releases and improved system stability.

India

Supported the development and deployment of ETL pipelines utilizing AWS services like Lambda, Glue, and S3, enhancing data integration capabilities and optimizing workflows for efficient data processing and engineering operations.Automated routine data transformation tasks with Python, significantly improving workflow efficiency, reducing manual intervention, and ensuring consistency and reliability in data processing pipelines across cloud environments.Deployed and managed Docker containers to maintain consistent environments across development, staging, and production systems, minimizing deployment discrepancies and enhancing the reliability of code execution.Managed Git workflows, overseeing repository maintenance and code versioning to improve collaboration, streamline development processes, and ensure seamless integration and deployment cycles.Worked closely with senior developers to enhance DevOps workflows by automating infrastructure deployment, improving system reliability, minimizing downtime, and optimizing resource management through continuous improvements.Implemented and managed CI/CD pipelines using GitLab CI and Jenkins, automating testing, integration, and deployment processes to facilitate smoother development operations and faster release cycles.Built and deployed high-performance backend services using FastAPI, improving API response times and overall system throughput for rapid, scalable backend development in cloud environments.Collaborated with frontend teams to enable precise data fetching using GraphQL fragments, enhancing application performance and improving developer efficiency.Collaborated on optimizing cloud infrastructure by leveraging AWS ECS and Lambda, deploying microservices within containers and serverless environments to ensure scalability and resource efficiency.