Jun 2024 – Oct 2024 · 4 mos · Vadodara, Gujarat, India · Remote

• Joined Armakuni during its early DevOps team formation and helped shape internal platform and delivery practices by deeply adopting and operationalizing the AK Way through hands-on workshops and real client engagements.
• Designed and implemented AWS container platforms from first principles, working extensively with Amazon ECS and Amazon EKS to support production workloads, focusing on cluster design, workload isolation, networking, security boundaries, and day-2 operations.
• Built and standardized Infrastructure-as-Code foundations using Terraform to enable reproducible environments, multi-account AWS setups, and controlled platform evolution across teams and clients.
• Led platform-level AWS architecture work across Control Tower–based multi-account strategies, governance models, and operational guardrails, ensuring security, scalability, and long-term maintainability rather than one-off solutions.
• Acted as a technical reference point for complex DevOps and cloud-native problems, providing design reviews, deep debugging support, and architectural guidance to engineers and delivery teams working on containerized and cloud-native systems.

Jun 2023 – Oct 2024 · 1 yr 4 mos · Vadodara, Gujarat, India · Remote

• Led the development of advanced AWS DevOps implementations, optimizing CI/CD pipelines and orchestrating infrastructure as code (IAC) with Terraform and CDK.
• Applied deep expertise in AWS data services, architecting solutions for efficient data processing, storage, and retrieval. Implemented strategies leveraging services like AWS Glue, Amazon MSK, and Flink, contributing to robust data architectures.
• Engineered and executed a complex AWS migration initiative, enhancing system efficiency by 30%. Spearheaded the transition of critical applications, ensuring seamless integration with AWS services.
• Led initiatives resulting in the acquisition of AWS Service Validations and Competencies. helped team achieve 20+ validations and 5+ competencies in less than a year. Utilized extensive experience to conduct Well-Architected Framework Reviews (WAFRs), driving significant improvements in infrastructure alignment with AWS best practices, contributing to organizational growth through meticulous assessments and strategic recommendations.
• Demonstrated leadership by organizing and leading AWS Certifications workshops, contributing to a culture of continuous learning. Recognized as an AWS Ambassador, reflecting a commitment to community growth and mentorship.

Sep 2022 – Jun 2023 · 9 mos · New York, United States · Remote

• Designed & Implemented a Data Engineering solution for clients with help of AWS resources like AWS Glue, Step Functions, EMR and Lambda. With the new approach, the time to deployment decreased and frequency of deployment increased to about 2 times more.
• Implemented a multi-tenant microservices architecture on AWS using ECS and RDS which reduced ~20% of cost and the distributed system had a minimal downtime of 10 minutes.
• Assist in architecting complex cloud-based solution. Take part in the end-to-end development of a set of microservices. Develop, design, and refactor cloud-based infrastructure using IaC tools such as Terraform and CDK. Doing cloud automation and monitoring with CloudWatch.
• Providing technical mentorship to junior members, performed code and design reviews as well as enforce code standards and best practices.
• Worked with departments across the company, including marketing and project management, in developing new ideas, initiatives, products, and services.
• Tools and Technologies: AWS, CI/CD pipelines, AWS CDK, ETL pipelines, python, containerized deployment, monitoring and logging

May 2021 – Sep 2022 · 1 yr 4 mos · New York, United States · Remote

• Introduced IaC tool AWS CDK to our team; provisioned data lake infrastructures resources that consist of 6+ different AWS services like AWS Glue, Step Functions & RDS along with deployment of ETL pipelines.
• Optimized CI/CD pipelines and AWS Infrastructure for 6+ projects using prebuilt images, caching & parallelism; adopted conventional commits & semantic versioning that reduced up to 75% of deployment time.
• Designed & implemented a robust pipeline that used managed automation tools and machine learning (ML) services to simplify ML model development and production. Deployment cycle (time it took to deploy a model to production) was reduced by 25% using this MlOps pipeline.

Jul 2020 – Apr 2021 · 9 mos · New York, United States · Remote

• Designed and deployed Serverless application along with CI/CD pipelines for Cloud Platform Teams. Achieved 40% cost reduction by migrating to a serverless approach. This approach made use of sam templates along with aws lambda, sqs and Cloudformation.
• Proposed solution architectures, provisioned infra. & CI/CD pipelines for our application on 10+ different AWS services managed by Terraform. Using this approach we were able to lower our infrastructure costs by 20% and Overall, there was a sharp decrease of 15% for time necessary to reach the market.

Jan 2021 – Oct 2021 · 9 mos · Vadodara, Gujarat, India · Hybrid

• After evaluating shortcomings of previously deployed infrastructure, Designing and implementing backend Infrastructure for “Spreadd” Microservices App using Automated Deployment Strategy to prevent downtime and improve overall performance up to 30%. Built and deployed CI/CD pipelines with 95% success rate throughout the Application Deployment.
• Designed and developed “Coinstox” Infrastructure to help internal teams automate deployment process with help of cloud services like Cloud Front and Elastic Beanstalk, reducing operational costs by 60%.
• Developed cloud infrastructure automation for “Public Poll” App, led Infrastructure planning to scale for peak usage along with monitoring & support for Production Workload. Increased troubleshooting turnaround time by 45% through revamping process efficiency.

Apr 2020 – Jul 2020 · 3 mos · Vadodara, Gujarat, India · Hybrid

• Spearheaded an enhancement program by upgrading from on-premises solution to cloud storage solution for Workloads of size more than 3TB. Shifted most of storage from on-premise to AWS S3.
• Improve the solution design and implementation by iterating and incorporate inputs from the leads and architects. I was able to reduce The monthly AWS Costs by 20% through proposed solution which removed unused data and resources and increased efficiency.