Software Engineer | Application & Data

Passionate software engineer with 3+ years of expertise in application development, API integration, and data pipeline engineering. Specialized in cloud infrastructure maintenance, deployment automation, and scalable system architecture.

Currently evolving towards cutting-edge AI technologies, actively learning and building RAG-based applications and exploring MCP-powered LLM solutions. Enthusiastic about leveraging AI to solve complex business challenges and create intelligent, data-driven applications.

Experience

3+ years driving data-driven business insights at Optum and Tiger Analytics with cutting-edge cloud solutions.

Skills

Full-stack expertise spanning cloud architecture, data engineering, and modern web development.

Certifications

Azure & Databricks certified professional with proven expertise in scalable cloud architectures.

Education

Strong academic foundation with 9/9/9 profile and consistent top-tier performance in engineering.

Experience

Optum – Software Engineer | Data | Oct 2022 – Present

🚀 Event-Driven Salesforce–Jira Integration

  • Architecting Python microservices to seamlessly integrate Salesforce platform events with Jira using advanced REST APIs
  • Implemented Salesforce Pub/Sub API with OAuth 2.0 for secure, real-time event subscription
  • Leveraged Redis as both event queue and Celery message broker for optimal performance
  • Designed intelligent Celery workers that trigger Jira REST APIs based on dynamic event content and business logic
  • Containerized using Podman and deployed via JFrog Artifactory for enterprise-grade reliability
  • Projected to reduce manual ticket creation by 80% and automate complex event-driven workflows

💡 Clinformatics Cloud Migration & Optimization

  • Spearheaded migration of critical medical analytics product serving pharmaceutical giants for patient-level insights
  • Completely rebuilt end-to-end ETL pipelines with advanced statistical patient classification algorithms
  • Transformed legacy SAS logic into optimized Apache Spark workflows, achieving 92% runtime reduction (72h → 6h)
  • Resolved critical SAS bugs that previously caused data inconsistencies and incorrect analytical outputs
  • Implemented robust CI/CD pipelines using GitHub Actions with Databricks Workflows orchestration
  • Developed statistical metrics for detecting opioid abuse trends based on patient dosage pattern analysis
  • Provisioned secure cloud infrastructure using Terraform for seamless Kubernetes-database-Spark integration
  • Migrated PostgreSQL to Azure Flexible Server for enhanced availability and scalability
  • Optimized Synapse Studio workload classifiers for balanced UI responsiveness and ETL performance
  • Delivered 35% annual cost savings through compute efficiency and infrastructure optimization

⚡ High-Performance Data Migration Pipeline

  • Engineered high-throughput Spark application transferring 7-8 TB from on-premises to multi-cloud in 40-48 hours
  • Deployed and managed enterprise Spark jobs on Linux servers while maintaining 100% data integrity
  • Built comprehensive monitoring API using FastAPI with interactive React dashboard on Azure Static Web Apps
  • Achieved 100% improvement in operational visibility with real-time job insights and automated alerting

Tiger Analytics – Cloud Infrastructure Engineer | Feb 2022 – Sept 2022

  • Led infrastructure automation initiatives in Azure Cloud using advanced Infrastructure as Code (IaC) methodologies
  • Architected and managed cloud infrastructure using Terraform with azurerm and databricks providers
  • Automated deployment of complex resources including storage accounts, VNets, Azure Databricks workspaces, and networking components
  • Collaborated with cross-functional data engineering teams to establish secure, scalable cloud foundations
  • Achieved 40% reduction in manual provisioning time and improved environment consistency across all stages

Technical Skills

🌩️ Cloud & ⚙️ DevOps Tool

Microsoft Azure AWS Azure Data Factory Azure Synapse Azure Databricks Terraform Docker Podman GitHub Actions CI/CD JFrog Artifactory Linux

💾 Data Science & Engineering

Apache Spark TensorFlow LangChain Hugging Face PySpark Pandas SQL PostgreSQL MongoDB Redis ETL Pipelines Data Warehousing

💻 Programming & Development

Python JavaScript Django Django REST Framework FastAPI React.js Node.js Flutter

Certifications

Terraform Associate
Azure Networking Engineer Associate
Associate MongoDB Developer
Azure Data Engineer Associate
Azure Fundamentals
Databricks Data Engineer Associate
Databricks Lakehouse Fundamentals

Education

🎓 Amrita School of Engineering | 2018 – 2022

  • Graduated with Bachelor's degree in Engineering, consistently ranking among the top performers in the department
  • Achieved exceptional 9/9/9 academic profile — securing above 90% in 10th grade, 12th grade, and Engineering
  • Recognized for departmental academic excellence and outstanding technical leadership capabilities
  • Actively engaged in technical clubs, innovative projects, and cutting-edge research initiatives

What People Say