Senior Software Engineer with 8.5+ years of experience architecting and scaling distributed, cloud-native systems across AWS, Azure, and GCP. Recognized for driving scalability, cost efficiency, CI/CD automation, and infrastructure reliability in high-impact enterprise environments.
Owned cost-optimization roadmap for data services, removing HAProxy and refining ALB–Istio routing with distributed caching to cut costs by 30%, improve p99 latency by 15% (42 ms), and enable $3 → $2 per M calls.
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Architected blue-green deployment for Agents using Java, Kubernetes, EFS, and S3, enabling zero-downtime rollouts, improving scalability by 40%, and driving $300K+ ARR through higher availability.
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Engineered a scalable Secret Rotation Service using Key Vault, Kubernetes, and REST APIs, automating credential rotation for 1K+ apps, reducing manual effort by ~70%, and ensuring reliability for AI workloads.
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Drove end-to-end observability using Prometheus, Grafana, Kibana, and Elasticsearch, defining custom SLOs and alerting to enhance incident detection, accelerate root-cause analysis, and cut regressions by 25%.
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Standardized monitoring runbooks, alerting, and code review practices across teams, cutting debugging time and MTTR 40%, while mentoring 3 engineers to full feature ownership, boosting team delivery velocity.
Orchestrated high-concurrency deployment of Informatica’s Hosted Agent on GCP, scaling to 10K+ concurrent users and unlocking ~$1M in new customer revenue through robust autoscaling and service optimization.
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Modernized Scheduler Service with Java, SQL, and Kafka-based async processing, leading a cross-functional initiative that boosted throughput 10× (3K→30K TPS) and cut monthly operational costs by $30K.
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Spearheaded cross-cloud data migration systems across AWS, Azure, and GCP, enabling seamless customer transitions and improving migration reliability by 40%.
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Streamlined CI/CD pipelines for 5+ services using Jenkins, GitHub Actions, and Terraform, reducing release lead time from 6 days to 1 and increasing deployment frequency by 4x.
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Introduced cloud cost monitoring and rightsizing workflows, cutting 15% of monthly spend by eliminating $10K/month in unused capacity across AWS and GCP.
Other achievements: Ranked in the top 10% of a 150-member engineering organization for exceptional technical contributions and collaboration across multiple high-priority projects.
Boosted CI build speed 30% by parallelizing Mocha tests in Jenkins with Docker; earned Best Demo finalist.
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Integrated high-throughput Hadoop–Teradata connector using Java and AWS EMR, increasing ingestion 70% and enabling scalable data lake processing for AI analytics.
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Enhanced dashboard using PERN (Postgres, Express, React, Node) stack to monitor jobs, paring down debugging time by 50%; gained extensive knowledge surrounding process improvement and performance enhancement concepts.
Orchestrated creation of a full stack feature allowing users to control format of exported CSV files using Backbone.js & Node.js, working in line with various managers and senior staff to maintain organizational coordination.
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Piloted deployment of overall service infrastructure with emphasis on high-availability and fault tolerance.
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Enhanced APIs and wrote business logic for microservices as a subject matter expert with advanced technologies, overcoming complex challenges through ingenuity and superior attention to detail.
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Re-architected communication between service and AWS EMR to enable asynchronous status monitoring on jobs, resulting in fewer errors when transmitting information and improved adherence to project schedules.
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Implemented Job Cancellation feature for Google Dataprep and Trifacta application using Activiti and Node.js.
