Senior Software Engineer with 8+ years of backend/frontend expertise

Aldi Fahrezi

SENIOR SOFTWARE ENGINEER

425-***-**** ***********.****@*****.*** Seattle, WA https://www.linkedin.com/in/aldifahrezi PROFESSIONAL SUMMARY

Senior Software Engineer with 8+ years of experience building scalable web applications, real-time dashboards, and backend systems at Google. Skilled in React, TypeScript, and modern frontend architecture, with deep backend experience in distributed systems, microservices, and data pipelines. Proven ability to own features end-to-end, collaborate across functions, and deliver production-ready software. Passionate about building intuitive user interfaces backed by reliable, high-performance APIs. WORK EXPERIENCE

Senior Software Engineer Google Seattle, WA Mar 2021 – Present

• Designed and built internal observability platform used by 50+ engineers to monitor distributed systems and ML models with real time metrics and alerting dashboard.

• Built real time observability dashboards in React and TypeScript with interactive data visualizations and streaming metrics for monitoring large scale distributed systems.

• Designed reusable component library, reducing development time across multiple internal tools by 30%.

• Implemented performance optimizations including virtualization, code splitting, and memoization for data- heavy interfaces.

• Defined frontend state management architecture using React Query and Redux to handle asynchronous data fetching, caching, and synchronization for data heavy monitoring dashboards.

• Collaborated with backend teams to design API contracts with pagination, caching, and optimized response structures to support high volume dashboard data queries.

• Designed and implemented distributed query execution services for BigQuery Omni using Go, Java, and C++, enabling petabyte scale analytics across AWS and Azure.

• Built data pipelines supporting Flood Forecasting models using Python, Apache Beam, and BigQuery, processing terabytes of satellite imagery and sensor data daily.

• Designed telemetry ingestion pipelines processing billions of infrastructure events per day using Pub/Sub, Apache Beam, and BigQuery.

• Improved reliability of containerized services running on Docker and Kubernetes by integrating enhanced monitoring and telemetry, reducing incident detection time.

• Mentored 4 junior engineers through design reviews, code reviews, and technical guidance.

• Partnered with product managers and research scientists to translate ML model monitoring requirements into production dashboards and backend services.

Software Engineer Google Singapore Apr 2019 – Mar 2021

• Developed operational dashboards for Google Pay using React and JavaScript, enabling real-time monitoring of transaction metrics and system health for millions of daily users.

• Designed operational dashboards that transformed high volume payment transaction data into actionable monitoring insights for engineering and operations teams.

• Improved dashboard responsiveness by 40% through rendering optimization and API call reduction.

• Built microservices for real-time payment processing, transaction orchestration, and ledger management using Java, Go, and gRPC.

• Implemented idempotency, retry logic, and consistency guarantees for high-throughput, low-latency payment systems.

• Designed event-driven data pipelines using Pub/Sub and Kafka, processing hundreds of millions of payment events daily for analytics and fraud detection.

• Optimized database performance in Spanner and Bigtable, reducing query latency by ~20% for high- traffic services.

• Partnered with backend teams to define API contracts and improve data access patterns for frontend applications.

• Implemented client side data aggregation and transformation logic in React to reduce backend processing load and improve dashboard responsiveness. Head of Data Science SIG RISTEK, Universitas Indonesia Jakarta, Indonesia Jan 2018 – Dec 2018

• Led a team of 20 students developing full stack data visualization platforms to display machine learning model outputs and analytics dashboards.

• Developed frontend interfaces using JavaScript and Flask to display machine learning model outputs.

• Mentored students on full stack application architecture, frontend performance optimization, and UI UX design for data visualization platforms.

• Organized technical workshops on Python, machine learning pipelines, and data engineering for more than 100 students.

TECHNICAL SKILLS

Frontend: React, TypeScript, JavaScript ES6+, HTML5, CSS3, Tailwind CSS, Styled Components, responsive design, accessibility

Frontend Architecture: Component-based design, reusable UI libraries, state management (React Query, Redux), API-driven UI

Performance Optimization: Code splitting, lazy loading, virtualization, memoization, Core Web Vitals, bundle optimization

Testing: Jest, React Testing Library, Playwright, unit/integration/E2E testing Backend Languages: Python, Java, Go, C++, Node.js, SQL Backend & Distributed Systems: Microservices, REST APIs, gRPC, event-driven architecture, message queues (Pub/Sub, Kafka), distributed systems design Data & Streaming: Apache Beam, Dataflow, BigQuery, streaming and batch processing, ETL pipelines Databases: PostgreSQL, MySQL, Spanner, Bigtable, MongoDB Cloud & Infrastructure: Google Cloud Platform, AWS (working knowledge), Docker, Kubernetes, CI/CD pipelines

Build Tools & DevEx: Vite, Webpack, ESLint, Prettier EDUCATION

BACHELOR’S DEGREE Computer Science University of Indonesia 2015 – 2019

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