Harsh Pardeshi
Aurangabad
Summary
Senior Engineer skilled in designing distributed systems and developing high-performance APIs. Expertise in building cloud-native microservices and delivering scalable solutions using AWS, Kafka, and OpenSearch. Strong background in system design and DevOps automation, with a focus on mentoring engineers.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Cloud Engineer - 2
Amazon Web Services
01.2024 - Current
- Designed and optimized large-scale backend systems for ETL and SIEM workloads leveraging OpenSearch, Kafka, Kinesis, and AWS services.
- Architected microservices to improve scalability and fault-tolerance for customer applications.
- Delivered on-site technical training and acted as a subject matter expert in distributed search and streaming systems.
- Published technical knowledge articles and mentored junior engineers in backend engineering best practices.
- Supported technical hiring, setting high bar standards for backend engineering candidates.
Software Developer ( Tooling & Automation )
Amazon Web Services
01.2023 - 01.2025
- Designed and developed internal backend tools in TypeScript, Python, and JavaScript to automate workflows and improve service productivity.
- Built infrastructure automation with AWS CDK for seamless CI/CD deployments.
- Implemented monitoring systems and automated remediation workflows to maintain high availability.
- Delivered backend services supporting thousands of users, ensuring optimal cost and performance at scale.
- Documented system architectures and created design guidelines for backend service development.
Cloud Engineer - 1
Amazon Web Services
09.2022 - 12.2022
- Supported backend systems for enterprise-scale customers across OpenSearch, Kafka, Kinesis, and AppFlow.
- Diagnosed and resolved application-level issues, OS-level bugs, and distributed system failures.
- Improved backend service reliability by implementing robust debugging workflows and recovery strategies.
- Collaborated with cross-functional teams to enhance API performance and reduce latency.
Cloud Associate - Analytics
Amazon Web Services
09.2021 - 09.2022
- Company Overview: (AWS)
- Developed backend solutions leveraging OpenSearch and Amazon Managed Kafka Service to solve complex scalability challenges.
- Troubleshot large-scale distributed architectures to identify and resolve performance bottlenecks and memory leaks.
- Partnered with customers to redesign backend components for improved resilience and cost optimization.
- (AWS)
AI Team Lead – Internship
O2 Cloud Sys
12.2020 - 06.2021
- Company Overview: California
- Led a team of 6 engineers to develop an AI-powered backend pipeline for processing medical imaging datasets.
- Designed scalable data ingestion workflows for X-ray and sonography imaging datasets using Python and TensorFlow.
- Delivered an ML model integrated with backend APIs for healthcare diagnostics.
- California
Education
Master of Technology - Data Science
MGM University
Aurangabad03-2025
Bachelor of Technology - Computer Science
MIT Aurangabad
Aurangabad07-2021
Skills
- Python
- FastAPI
- Django
- TypeScript
- Nodejs
- Expressjs
- NestJS
- Java
- Spring Boot
- JavaScript
- PostgreSQL
- MySQL
- DynamoDB
- MongoDB
- AWS
- Lambda
- ECS
- API Gateway
- EC2
- S3
- CloudFormation
- CDK
- GCP
- Azure
- Kafka
- RabbitMQ
- Kinesis
- Redis
- Memcached
- CDN architectures
- Docker
- Kubernetes
- Terraform
- Jenkins
- GitHub Actions
- Microservices
- Distributed systems
- High availability
- Load balancing
- Event-driven architectures
- IAM
- Role-based access
- Secure API design
- Monitoring with CloudWatch
- Prometheus
- TensorFlow
- Scikit-learn
- Linux environments
Affiliations
• Designed and deployed a microservices-based ticket routing system using AWS Lambda, API Gateway, and DynamoDB, reducing response latency by 40%.
• •Implemented real-time streaming pipelines with Kafka and Kinesis for processing millions of daily events, with sub-second latency
• •Built a scalable REST API platform with Node.js and PostgreSQL, supporting 50k+ concurrent users
Optimized OpenSearch clusters by implementing custom analyzers and sharding strategies, improving query performance by 35%
• Developed CI/CD pipelines with GitHub Actions and AWS CDK to automate deployments across multiple regions and accounts
Certification
- AWS Certified Solutions Architect - Professional
- AWS Certified Solutions Architect – Associate
- AWS Certified Cloud Practitioner
- AWS Certified Subject Matter Expert in Amazon OpenSearch
Timeline
Cloud Engineer - 2
Amazon Web Services
01.2024 - Current
Software Developer ( Tooling & Automation )
Amazon Web Services
01.2023 - 01.2025
Cloud Engineer - 1
Amazon Web Services
09.2022 - 12.2022
Cloud Associate - Analytics
Amazon Web Services
09.2021 - 09.2022
AI Team Lead – Internship
O2 Cloud Sys
12.2020 - 06.2021
Master of Technology - Data Science
MGM University
Bachelor of Technology - Computer Science
MIT Aurangabad
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