MUDRAX DAGAR

Software Engineer

Ghaziabad, Uttar Pradesh, India1 yr 10 mos experience

Key Highlights

  • Expert in designing scalable data ingestion pipelines.
  • Proficient in cloud deployment and orchestration on GCP.
  • Strong background in API development and performance tuning.
Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in data processing and cloud technologies.

Contact

LinkedIn

Skills

Core Skills

Event-driven Architecture (kafka & Google Pub/sub)Cloud Deployment On GcpData Storage & Query OptimizationApi Development & Performance TuningDatabases

Other Skills

Streaming Data ProcessingCloud Deployment & OrchestrationApache BeamKafkaGoogle Pub/SubGoogle Cloud PlatformDataflowCloud FunctionsBigtableBigQueryClickHouseSpring BootRESTful APIsData ModelingNoSQL

Experience

1 yr 10 mos
Total Experience
1 yr 8 mos
Average Tenure
2 mos
Current Experience

Amazon

Software Engineer

Mar 2026 – Present · 2 mos · Bengaluru · On-site

Wingify

3 roles

Software Engineer II

Promoted

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.
Streaming Data ProcessingEvent-Driven Architecture (Kafka & Google Pub/Sub)Cloud Deployment & OrchestrationData Storage & Query OptimizationAPI Development & Performance TuningCloud Deployment on GCP

Software Engineer

Jun 2024 – May 2025 · 11 mos · Remote

DatabasesData Modeling

Software Engineer Intern

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.

Education

Delhi Technological University (Formerly DCE)

Bachelor of Technology - BTech — Computer Engineering

Jan 2020 – Jan 2024

Kendriya Vidyalaya

CBSE (Class X)

Kendriya Vidyalaya

CBSE (Class XII)