Germany
Hello! I'm Partha Sarathi Kundu, a certified DevSecOps Engineer with a robust background in Agentic AI, Data and Cloud Platform solutions design, security testing, cloud computing, and infrastructure automation. With proven expertise in enhancing development performance and delivering scalable solutions, I am looking for new opportunities to work with cutting edge AIML workload and DevSecOps projects. If you're seeking a dedicated and innovative professional to join your team, I'd love to connect and explore how I can contribute to your success. Recent AI Agentic Development: https://pypi.org/user/pxkundu/ Linktree Links: https://linktr.ee/pxkundu
At CHS Inc. as a Data Platform Solutions Architect, I’m working with strong leadership and technical team from AWS DevOps and Dataiku platform solutions. Here’s a snapshot of what I’m up to: • Crafting scalable, high-impact data platform solutions using AWS and Dataiku to empower advanced analytics and machine learning for the business. • Leading AWS DevOps efforts, building automated CI/CD pipelines and infrastructure-as-code to keep our data platforms fast, reliable, and secure. • Owning the architecture and management of cross-functional data infrastructure, seamlessly integrating AWS services with Dataiku to fuel enterprise-wide insights. • Partnering with diverse teams to align solutions architecture with strategic goals, driving data-driven decisions with a collaborative spirit. • Ensuring our Dataiku and AWS platforms are robust, secure, and scalable, delivering top-notch performance for our data ecosystem.
Designed and developed enterprise cloud automation frameworks on AWS to manage sensitive data processing pipelines, ensuring scalability, security, and compliance (HIPAA, GDPR). Enabled dynamic content generation for personalized user experiences. • Led the end-to-end architecture of AWS-based solutions, incorporating high-availability, fault tolerance, and cost-optimized infrastructure using EC2, S3, IAM, Lambda, and RDS. • Built and implemented multi-stage automation testing frameworks, ensuring secure vendor data exchange while maintaining data integrity and consistency. • Developed and managed CI/CD pipelines for Dev, Stage, UAT, and Production environments using Jenkins, GitLab CI, and AWS CodePipeline, reducing deployment cycle times. • Integrated Infrastructure as Code (IaC) using Terraform and AWS CloudFormation, enabling seamless infrastructure provisioning, versioning, and rollback capabilities. • Enhanced DevSecOps adoption, conducting security vulnerability assessments, penetration testing, and compliance enforcement with AWS Security Hub, IAM policies, and encryption standards (AWS KMS).
T3 stands for Training and Technology Team for Wichita State University. I designed, developed, debugged and deployed new prototypes and create secure and day to day used web and mobile applications for the students, Organizations, Govt. departments and third party clients from greater Kansas state. I wrote test cases and develop innovative solutions for SaaS platforms and deploy both On-premises and Cloud Servers.
Responsibilities include but not limited to: Designed and developed AWS Serverless solutions for the Patient Data Management System (EMR) using AWS Amplify, Lambda, Step Functions, Amazon Cognito, API Gateway, and DynamoDB to enable scalable, secure, and cost-efficient data processing. Engineered high-availability and event-driven architectures, optimizing API integrations, authentication workflows, and identity management with Amazon Cognito and IAM role-based access controls. Spearheaded end-to-end automation testing frameworks using Selenium, Cypress, and PyTest, ensuring system reliability through sanity, regression, and security testing. Enhanced DevOps workflows by implementing CI/CD pipelines with GitHub Actions, AWS CodePipeline, and Terraform, reducing deployment errors by ~30% and accelerating development cycles. Defined and managed user stories, workflows, and task tracking in JIRA, optimizing Agile processes and ensuring seamless collaboration between engineering, QA, and DevOps teams. Established operational monitoring and incident response strategies using Amazon CloudWatch, custom metrics, and alerting integrations with Slack and Google Chat, improving system visibility and proactive issue resolution. Led risk assessment and resource allocation to manage vulnerabilities effectively, ensuring HIPAA-compliant security standards through encryption, IAM policies, and AWS KMS.