Anisha Salunkhe

Work Experience

Cloud Applications Architect

Amazon Web Services, New York, NY

November 2023 – Present

Architected enterprise WorkOrder Management System processing 1M+ WorkOrders with sub-second latency
Reduced operational overhead by 50%, eliminating 21,000 manual hours annually
Accelerated content delivery by 40% and reduced QC processing by 60%

Spearheaded enterprise cloud transformation initiatives as Architect, defining technical strategy and architectural roadmaps for Fortune 500 media and entertainment conglomerates
Architected enterprise-scale WorkOrder Management System for major film studio leveraging Netflix Conductor orchestration engine—delivering sub-second query latency at 1M+ WorkOrders scale with 99.9% uptime SLA
Engineered event-driven microservices architecture with EventBridge and Lambda, slashing operational overhead by 50% and eliminating 21,000 manual hours annually through intelligent workflow orchestration
Designed distributed digital asset management platform with Step Functions and S3, unlocking massively parallel processing capabilities and seamless multi-system integration across heterogeneous media production environments
Integrated third-party media processing pipelines with AWS native services, accelerating content delivery by 40% and slashing QC processing cycles by 60% through optimized parallel execution strategies
AWS Certified DevOps Professional, Solutions Architect Professional, AI Practitioner (2024-2025)

Associate Cloud Applications Developer

Amazon Web Services, New York, NY

July 2021 – October 2023

Increased payment acceptance by 32% for international cinema chain
Reduced IAM provisioning overhead by 60% for pharmaceutical enterprise
Deployed governance across 1000+ AWS accounts

Partnered with Fortune 500 enterprises and AWS service teams to architect and execute large-scale cloud migrations, delivering zero-downtime transitions while enforcing architectural best practices and Well-Architected Framework principles
Orchestrated complex technical engagements spanning HPC workloads, real-time streaming analytics, batch processing pipelines, and cloud-native infrastructure modernization across diverse industry verticals
Architected highly available payment processing service for international cinema chain with multi-region active-active deployment, boosting payment acceptance by 32% across Americas through resilient API design, intelligent retry mechanisms, and circuit breaker patterns
Delivered enterprise-grade IAM automation platform for global pharmaceutical enterprise, eliminating 60% of manual provisioning overhead through bi-directional Active Directory synchronization and dynamic role-based access control (RBAC)
Established comprehensive governance framework and compliance automation by deploying CI/CD pipelines across 1000+ AWS accounts, ensuring consistent security posture, policy enforcement, and regulatory compliance at enterprise scale
Championed rigorous code quality standards using flake8, PEP8, black, isort, and MyPy static analysis—maintaining 95%+ test coverage, zero critical vulnerabilities, and production-grade code reliability

Professional Services Consultant Intern

Amazon Web Services, New York, NY

June 2020 – August 2020

Built AWS migration tool with 3-tier architecture orchestrating 8 AWS services
Implemented real-time logging with CloudWatch integration

Engineered customer-facing AWS migration tool with remote execution capabilities, streamlining cloud adoption workflows and dramatically reducing migration complexity for enterprise customers
Designed scalable 3-tier architecture orchestrating 8 AWS services using Python and Boto3 SDK, ensuring modularity, maintainability, and extensibility
Implemented real-time logging infrastructure with CloudWatch integration, enabling live session monitoring, status streaming, and comprehensive audit trails

Graduate Student Developer

NYU Information Technology, New York, NY

March 2020 – December 2020

Built intelligent automation with RPA and UiPath
Led agile ceremonies and managed sprint deliverables

Built intelligent automation systems leveraging RPA and UiPath, eliminating repetitive manual processes and dramatically improving operational efficiency across university IT operations
Developed secure reporting systems with encrypted confidential data handling, automated workflow orchestration, and role-based access controls
Led agile ceremonies including sprint planning and retrospectives, managed sprint backlogs, and coordinated cross-functional team deliverables to ensure on-time project completion

Teaching Assistant

New York University, New York, NY

September 2019 – December 2019

Mentored 38 students in Computer Science fundamentals
Evaluated 11 technical assignments with comprehensive code reviews

Mentored 38 students in Introduction to Computer Science, cultivating algorithmic thinking, problem-solving skills, and programming fundamentals in Python
Evaluated 11 technical assignments with comprehensive code reviews, delivering constructive feedback and optimization recommendations to elevate code quality and performance
Developed supplementary course materials including coding exercises and tutorials, conducted weekly office hours for personalized technical guidance and debugging support

Associate Software Engineer

Mastercard Technologies Pvt. Ltd., Pune, India

July 2017 – July 2019

Built enterprise messaging platform serving 2000+ clients with 99.99% uptime
Optimized performance by 13.67%, achieving 3780 TPS
Onboarded 650+ clients with zero critical bugs

Spearheaded end-to-end development of Axon™ enterprise messaging platform serving 2000+ production clients across 4 geo-distributed data centers, consistently achieving 99.99% uptime SLA
Built high-throughput messaging infrastructure using Java, Scala, and Bash scripting with Confluent Kafka and NATS messaging systems, delivering sub-millisecond message latency at scale
Engineered comprehensive usage analytics and audit reporting system with advanced filtering and aggregation capabilities, powering billing framework and enabling data-driven revenue optimization
Optimized service performance by 13.67%, achieving 3780 transactions per second (TPS) through strategic JVM heap tuning, garbage collection optimization, and thread pool configuration
Achieved SQALE rating "A" via SonarQube static code analysis, maintained zero critical bugs in production, and successfully onboarded 650+ clients with comprehensive training programs and technical documentation
Architected multi-node Sandbox environment with 5-machine Linux NATS cluster configuration for comprehensive load testing, performance validation, and pre-production verification
SAFe® 4 Certified Agilist, completed internal certifications in JVM Management, TBM, and Spark

Project Intern

TE Connectivity, Pune, India

July 2016 – December 2016

Built IoT platform with 71 Raspberry Pi nodes for factory monitoring
Transformed paper-based workflows to digital with MySQL database

Engineered end-to-end IoT digitization platform for industrial manufacturing facility with 3 core modules: Live Display for real-time monitoring, Workstation Digitization for production tracking, and Daily Maintenance Records for compliance management
Architected distributed Master-Slave system deploying 71 Raspberry Pi nodes with wireless mesh networking topology, enabling real-time production monitoring and data aggregation across factory floor
Built full-stack web application with seamless hardware-software integration, connecting Komax machinery via industrial protocols for live telemetry streaming and performance tracking
Transformed legacy paper-based maintenance workflows with MySQL relational database, automated scheduled reporting, and interactive analytics dashboards for data-driven decision making

Project Intern

Bitwise Solutions, Pune, India

April 2016 – June 2016

Developed custom Jenkins plugin for CI/CD automation
Implemented comprehensive testing suite with UAT cases

Developed custom Jenkins plugin for QualiDI™ App, automating CI/CD pipelines to enable continuous integration, automated testing, and streamlined deployment workflows
Implemented comprehensive integration testing suite with user acceptance test (UAT) cases and functional validation frameworks, ensuring software quality and reliability
Managed Git-based version control workflows with branching strategies, established code review standards, and implemented quality gates for continuous quality assurance

Key Projects & Achievements

Enterprise WorkOrder Management System - Film Studio

1M+ WorkOrders • 50% overhead reduction • 21,000 hours saved annually

Architected enterprise-scale orchestration platform for major film studio processing 1M+ WorkOrders using Netflix Conductor workflow engine and DynamoDB, delivering millisecond-latency queries. Implemented event-driven microservices with EventBridge and Lambda, slashing operational overhead by 50%—eliminating 21,000 manual hours annually while accelerating content delivery pipelines.

Netflix Conductor DynamoDB EventBridge Lambda Step Functions

Media Processing Integration

40% faster delivery • 60% reduction in QC cycles

Integrated third-party media processing engines with AWS Step Functions state machines and S3, unlocking massively parallel transcoding capabilities. Accelerated delivery by 40% through optimized parallel workflows, implemented intelligent exception handling with automated QC validation, slashing processing cycles by 60%.

Step Functions S3 Media Processing Automation

Scalable Payment Service - Cinema Chain

32% increase in payment acceptance • Multi-region failover

Engineered highly available payment processing service for international cinema chain with multi-region failover. Built RESTful microservices with intelligent retry logic and circuit breakers, driving 32% increase in payment acceptance across Americas through resilient API design.

AWS Lambda API Gateway DynamoDB Python

IAM Active Directory Sync - Pharmaceutical Enterprise

60% reduction in manual overhead • 1000+ AWS accounts

Delivered enterprise IAM automation platform for global pharmaceutical company, transforming user-based permissions to role-based access control (RBAC). Engineered Active Directory synchronization with automated role provisioning and lifecycle management, eliminating 60% of manual overhead. Deployed at scale across 1000+ AWS accounts.

AWS IAM Lambda S3 SQS Python

VPCx Console - Self-Service Portal

Serverless architecture • Eliminated infrastructure costs

Developed serverless self-service portal with RESTful APIs powered by AWS Lambda for multi-cloud orchestration. Transformed legacy server-based polling to event-driven serverless architecture, enabling real-time data transformation while eliminating EC2 and database infrastructure costs.

API Gateway Lambda Boto3 Serverless

Multi-Factor Authentication

Lambda-based OTP • Enhanced security posture

Implemented MFA security layer for VPCx console using Lambda-based OTP generation, adding cryptographic time-based authentication beyond traditional credentials—fortifying security posture for pharmaceutical enterprise.

Lambda Security Python

Flexera Auditing System

70% reduction in compliance overhead • Automated reporting

Automated license compliance and auditing system for RDS and EC2 fleets. Built scheduled reporting pipeline generating Excel-formatted audit reports, eliminating manual data collection and slashing compliance overhead by 70%.

RDS EC2 Automation Python

Enterprise Messaging System - Mastercard

2000+ clients • 99.99% uptime • 3780 TPS

Spearheaded development of geo-distributed enterprise messaging platform serving 2000+ production clients with 99.99% uptime. Optimized throughput by 13.67%, achieving 3780 TPS through JVM heap tuning and garbage collection optimization. Maintained SQALE rating "A" via SonarQube static analysis.

Java Scala Kafka NATS

Breast Cancer Detection ML System

85.4% accuracy • Spark MLlib • Decision Tree classifiers

Engineered machine learning pipeline for early-stage breast cancer detection using Spark MLlib. Built ETL workflows and trained Decision Tree classifiers on multi-resolution histopathology images, delivering 85.4% prediction accuracy across 4 magnification levels.

Spark MLlib Python Machine Learning

Election Forecast Time Series Analysis

85% accuracy • Twitter sentiment analysis • Time-series models

Built predictive analytics platform using time-series regression models (linear and polynomial) to forecast Democratic Primary Election outcomes. Integrated Twitter sentiment analysis pipeline, delivering 85% prediction accuracy through multi-modal data fusion.

Python Pandas Twitter API Analytics

Cloud Applications Architect & Full-Stack Engineer

About Me

Professional Role

Impact & Results

Expertise

Resume

Work Experience

Cloud Applications Architect

Associate Cloud Applications Developer

Professional Services Consultant Intern

Graduate Student Developer

Teaching Assistant

Associate Software Engineer

Project Intern

Project Intern

Key Projects & Achievements

Enterprise WorkOrder Management System - Film Studio

Media Processing Integration

Scalable Payment Service - Cinema Chain

IAM Active Directory Sync - Pharmaceutical Enterprise

VPCx Console - Self-Service Portal

Multi-Factor Authentication

Flexera Auditing System

Enterprise Messaging System - Mastercard

Breast Cancer Detection ML System

Election Forecast Time Series Analysis

Technical Skills

Programming Languages & SDKs

AWS & Cloud Infrastructure

Data & Analytics

DevOps & Architecture

Education

Master of Science in Information Systems

Bachelor of Engineering in Computer Engineering

Awards & Achievements

Women's Open Chess Championship

National Science Olympiad

National Creativity Aptitude Test

Innovation 2015 - CCOEW

Tesla 2015 - MITCOE

Certifications

AWS Certified AI Practitioner

AWS Certified Machine Learning - Associate

AWS Certified DevOps Professional

AWS Certified Solutions Architect Professional

AWS Tech-U Graduate

AWS Well-Architected Accreditation

AWS Certified Developer Associate

AWS Certified Solutions Architect Associate

AWS Certified Cloud Economics

AWS Certified Cloud Practitioner

SAFe® 4 Certified Agilist

Information Security Specialist

Core & Advanced Java

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