I am a software engineer with 2+ years of experience designing and delivering scalable, secure, and data-intensive applications in healthcare and enterprise domains. I specialize in building RESTful and GraphQL APIs with Python (Flask, Django), developing real-time data pipelines using Kafka and Apache NiFi, and optimizing databases across PostgreSQL, MongoDB, and Snowflake. I’ve implemented predictive analytics and ML models (scikit-learn, SageMaker) to improve operational decision-making. I thrive in Agile environments, automate deployments with AWS and Docker, and prioritize HIPAA compliance while delivering clean, high-performance code. I’ve collaborated across cross-functional teams to deliver reliable backend services, secure data access, and scalable ETL pipelines. My passion is turning complex data into actionable insights through robust architectures, automated testing, and vigilant monitoring, all while maintaining a customer-first mindset and a commitment to quality and maintainability.

Dhairya Gajjar

I am a software engineer with 2+ years of experience designing and delivering scalable, secure, and data-intensive applications in healthcare and enterprise domains. I specialize in building RESTful and GraphQL APIs with Python (Flask, Django), developing real-time data pipelines using Kafka and Apache NiFi, and optimizing databases across PostgreSQL, MongoDB, and Snowflake. I’ve implemented predictive analytics and ML models (scikit-learn, SageMaker) to improve operational decision-making. I thrive in Agile environments, automate deployments with AWS and Docker, and prioritize HIPAA compliance while delivering clean, high-performance code. I’ve collaborated across cross-functional teams to deliver reliable backend services, secure data access, and scalable ETL pipelines. My passion is turning complex data into actionable insights through robust architectures, automated testing, and vigilant monitoring, all while maintaining a customer-first mindset and a commitment to quality and maintainability.

Available to hire

I am a software engineer with 2+ years of experience designing and delivering scalable, secure, and data-intensive applications in healthcare and enterprise domains. I specialize in building RESTful and GraphQL APIs with Python (Flask, Django), developing real-time data pipelines using Kafka and Apache NiFi, and optimizing databases across PostgreSQL, MongoDB, and Snowflake. I’ve implemented predictive analytics and ML models (scikit-learn, SageMaker) to improve operational decision-making. I thrive in Agile environments, automate deployments with AWS and Docker, and prioritize HIPAA compliance while delivering clean, high-performance code.

I’ve collaborated across cross-functional teams to deliver reliable backend services, secure data access, and scalable ETL pipelines. My passion is turning complex data into actionable insights through robust architectures, automated testing, and vigilant monitoring, all while maintaining a customer-first mindset and a commitment to quality and maintainability.

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Experience Level

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Work Experience

Backend Developer at WUD
July 1, 2025 - Present
Engineered scalable backend services using Python (Flask/Django), integrating with EMR tools and wearable APIs to optimize patient appointments and monitor chronic conditions. Designed RESTful APIs and relational database schemas in PostgreSQL/MySQL to manage doctor availability, patient history, vitals, and trigger alerts for high-risk conditions. Built responsive UIs with HTML, CSS, Bootstrap, and JavaScript for medical dashboards, enabling real-time views into vitals, appointment status, and clinical summaries. Automated background tasks with Celery and Redis for vitals monitoring, reminders, and daily reports, improving workflow efficiency across clinics and care teams. Reduced wait times by 30% by directing agile development using Git, Docker, and CI/CD pipelines to implement smart scheduling systems. Minimized patient no-shows by 25% and emergency escalations by 18% by deploying predictive appointment models using scikit-learn and Pandas, leveraging supervised learning techniques
Graduate Student Research Assistant at Arizona State University (TOMNET)
May 1, 2024 - May 1, 2025
Developed secure, HIPAA-compliant APIs using Flask and GraphQL hosted on AWS EKS to enable real-time access to Medicare and Medicaid data for clinical teams and external partner applications. Created robust ETL pipelines using Apache NiFi and Kafka for batch and streaming ingestion of healthcare events, enabling seamless handling of dynamic data across Snowflake and MongoDB. Automated ingestion and disaster recovery processes with AWS Lambda and S3 triggers, ensuring consistent data availability and scalable cross-region failover for high-volume data pipelines. Built a custom Python-based regression testing framework to validate Kafka message integrity and MongoDB data accuracy, reducing system defects by 60% and improving test coverage. Collaborated with DevOps and data engineering teams to implement schema validation, error handling, and alerting, which increased backend service reliability and uptime by 40%. Improved query performance by 90% by optimizing Snowflake transformations a
Software Developer Intern at BISAG -N
January 1, 2023 - May 1, 2023
Designed and implemented REST APIs for financial operations — covering expense tracking, budget management, and tax filing — using Flask and Django, ensuring secure, scalable architecture with ORM-based models. Engineered custom parsing modules to extract and categorize transactional data from invoices and bank statements, and developed automated workflows for generating tax summaries and exporting budget reports via asynchronous task queues, all monitored using AWS CloudWatch for performance and alerts. Improved financial reporting by automating PDF and Excel generation with templating/formatting libraries, reducing manual dependencies and enhancing multi-format report delivery. Reduced budget threshold alert errors by 60% and accelerated report rendering by 40% through implementation of caching mechanisms, predictive monitoring, message brokers, and observability tools like Splunk. Built and deployed Dockerized microservices on Kubernetes for auto-scaling and fault tolerance, whi

Education

Master of Science in Information Technology at Arizona State University, Tempe, AZ
August 1, 2023 - May 1, 2025
Bachelor of Technology in Computer Science at CHARUSAT University, Gujarat, India
August 1, 2019 - May 1, 2023

Qualifications

Add your qualifications or awards here.

Industry Experience

Healthcare, Software & Internet, Professional Services