Abhinav Mandala

Software Engineer

Seattle, Washington, United States7 yrs experience

Key Highlights

Led Airflow Performance Improvement Project at Amazon.
Developed Tesla Rentals web application generating $5 million revenue.
Expert in full-stack development and microservices architecture.

Stackforce AI infers this person is a Fullstack Software Engineer with expertise in SaaS and microservices architecture.

Contact

abhinavmandala@gmail.com LinkedIn

Skills

Core Skills

JavaSpring BootReact.jsServicenow PlatformJavascript

Other Skills

AWS LambdaAgileAlgorithmsAmazon CloudWatchAmazon DynamoDBAmazon DynamodbAmazon EC2Amazon ECSAmazon Relational Database Service (RDS)Amazon S3Amazon Web Services (AWS)AngularAngularJSApache KafkaC++

About

I am a dedicated Software Engineer with over 5+ years of experience in full-stack development, microservices architecture, and system design. My background includes pivotal roles at industry-leading companies like Amazon and Tesla, where I've successfully led projects that drive significant technological advancements. At Amazon, I spearheaded the Airflow Performance Improvement Project, optimizing SLA metrics retrieval and reducing P99 latency by over 97%. My expertise in Java, Spring Boot, and AWS technologies has consistently enabled me to design and deploy scalable solutions that meet complex business requirements, enhancing both system performance and user satisfaction. During my tenure at Tesla, I developed the Tesla Rentals web application, revolutionizing the car booking process and replacing manual methods with an efficient online system. The application not only streamlined operations but also generated impressive business results, with a projected revenue of $5 million in its first year and plans for a 300% expansion in the rental car fleet. My experience spans across various technologies including JavaScript, Java, and REST APIs, allowing me to tackle diverse challenges and deliver impactful solutions that contribute to the growth and success of the organizations I work with.

Experience

7 yrs

Total Experience

1 yr 4 mos

Average Tenure

1 yr 7 mos

Current Experience

Amazon

2 roles

Software Engineer

Feb 2025 – Present · 1 yr 4 mos · Seattle, Washington, United States · On-site

Software Engineer

May 2024 – Aug 2024 · 3 mos · Seattle, Washington, United States · On-site

Spearheaded the design and development of the Airflow Performance Improvement Project using a microservices architecture with Java and Spring Boot, reducing page load times and enhancing SLA metrics retrieval by 97.85%.
Redesigned the data flow of Case Queues SLA retrieval, implementing DynamoDB with Spring Data JPA and applying design patterns like Factory and Builder for scalable solutions, reducing P99 latency from 11,638ms to 250ms.
Developed RESTful APIs with Spring Boot for CRUD operations on SLA data in DynamoDB, ensuring high availability and data accuracy, while improving overall operational efficiency.
Implemented AWS Lambda for batch processing, achieving data updates within 30 seconds, scalable to 15 minutes, enabling the system to handle a 30x increase in customer load.

JavaAmazon Web Services (AWS)AWS LambdaAmazon ECSJavaScriptAmazon EC2+9

Tesla

Software Engineer

Jan 2024 – May 2024 · 4 mos · San Francisco, California, United States · On-site

Engineered the backend architecture for the Tesla Rentals web application using Java, creating APIs that enabled seamless reservation and asset management across multiple locations.
Built a multi-threaded data processing application using Java ExecutorService, reducing booking response times by 20% and supporting high-throughput transactions.
Designed SQL schemas for relational database management, optimizing data storage and access for reservation records with MySQL, achieving a 25% reduction in query times.
Implemented JWT-based authentication for secure access, ensuring robust session management and data security.

JavaJavaScriptMySQLSpring BootTypeScriptReact.js+5

University of florida

Software Engineer

May 2023 – Dec 2023 · 7 mos · Gainesville, Florida, United States · On-site

Designed and developed the AI Integrator web application to streamline machine learning (ML) pipelines. The frontend was built using ReactJS, incorporating JavaScript, Redux, HTML, and CSS for a responsive and user-friendly interface.
The backend infrastructure was established using Python and Flask, enabling the creation of robust RESTful APIs. This backend technology stack ensured seamless data exchange between the frontend and backend, guaranteeing a reliable and efficient user experience.
To efficiently manage user-specific project data, I designed intricate data models and leveraged MongoDB as the database of choice. This combination optimized data storage and retrieval, further enhancing overall application performance.
The AI Integrator web application represents a versatile and powerful tool for executing ML pipelines, empowering users to simplify and accelerate their machine learning workflows with confidence. Its blend of technologies and data handling capabilities makes it a valuable asset for ML practitioners and researchers alike.

JavaJavaScriptAmazon Web Services (AWS)React.jsSpring BootApache Kafka+10

Servicenow

Software Engineer II

Jul 2021 – Dec 2022 · 1 yr 5 mos · Hyderabad, Telangana, India

Designed and developed microservices for the Supply Chain Exception Management (SCEM) platform using Java and Spring Boot, enabling real-time data synchronization and reducing processing delays by 30%.
Integrated Project44 for real-time shipment tracking using REST APIs, processing over 1,000 data points daily with optimized API responses.
Developed SQL queries and database schemas for MySQL to support data analytics and reporting, optimizing complex queries for faster execution.
Utilized JUnit and Mockito to create comprehensive unit and integration tests, maintaining 98% test coverage.
Automated CI/CD pipelines using Jenkins and Docker, deploying updates with zero downtime and improving the deployment process by 30%.

JavaJavaScriptGraphQLReact.jsRESTful WebServicesSystem design+14

Factset

2 roles

Software Engineer II

Promoted

Oct 2019 – Jul 2021 · 1 yr 9 mos

Architected and developed backend services for the New Search Tool using Spring Boot and Java, leveraging Elasticsearch to reduce document retrieval times by 50%.
Built REST APIs for Filings 3.0, enabling seamless access to financial data and supporting real-time data updates across global stock exchanges.
Designed data access layers and integrated Redis caching, enhancing response times for high-volume queries.
Developed batch processing applications using Java and Apache Kafka, ensuring the efficient processing of large datasets and improving the data ingestion rate by 20%.
Used SLF4J and Log4j for logging mechanism. Worked on Splunk dashboard/queries to monitor application and system health and debug production issues.

JavaReact.jsJavaScriptRESTful WebServicesAngularNode.js+15

Software Engineer I

Jun 2018 – Oct 2019 · 1 yr 4 mos

Worked in the Research Engineering team of Factset. As part of it, worked on multiple projects which includes Vuejs and Angularjs Framework on frontend in both Javascript and Typescript & C++ on backend.
1) Integrated Various Stock Exchanges (Sources eg: NSE, BSE etc) into Filings 2.0 web application which helps in fetching documents from different stock exchanges.
2) Implemented drag and drop feature of tiles in Company Security Tileview web application as part of innovation in hackathon project.
3) Implemented Word Cloud based on the frequent searched words in the document.
4) Integrated vue components into Filings 2.0 Application.
5) Contributed in developing Filings Wizard web application in Angularjs which is used to research on financial data of the companies.
6) Fixed bugs in the Filings 2.0 web application which is in Angular js.

JavaScriptJavaReact.jsAngularAngularJSVue.js+13