May 2025 – Feb 2026 · 9 mos · Remote

• 1. Architect & Maintain Event-Driven Pipelines: Design, develop, and support scalable data ingestion pipelines using Apache Beam to process real-time events via Kafka and Google Pub/Sub.
• 2. Cloud Deployment & Orchestration: Deploy and monitor pipelines on Google Cloud Platform—primarily Dataflow—with occasional use of Cloud Functions to integrate with external services.
• 3. Data Storage & Query Optimization: Create, optimize, and maintain queries across Bigtable (for low-latency, real-time workloads), BigQuery, and ClickHouse (as analytical data warehouses) to ensure performant data access and aggregation.
• 4. Caching & Distributed Coordination: Implement high-throughput caching solutions using Redis and KeyDB, and integrate distributed coordination mechanisms to support robust pipeline execution.
• 5. API Development & Performance Tuning: Build and enhance the read layer via Spring Boot applications, developing RESTful APIs that retrieve and expose processed data; continuously profile and optimize endpoints for low latency and high concurrency.
• 6. Cross-Team Collaboration & Best Practices: Partner with cross-functional teams to define data models, establish SLAs, and champion best practices for code quality, observability, and automated testing.

Jun 2024 – May 2025 · 11 mos · Remote

Jan 2024 – May 2024 · 4 mos · Remote

• Wrote unit tests in Java Spring Boot to understand and validate the existing architecture, improving code reliability.
• Built an in-house monitoring and logging system to track database query times and API execution, enabling better performance visibility.