I am Priyanshu Rastogi, a software engineer with over 5 years of experience designing, developing, and deploying scalable applications and data-driven solutions across healthcare and enterprise domains. I excel in Python, SQL, and cloud platforms (AWS, GCP, Azure), and I have hands-on experience building microservices, APIs, and machine learning pipelines. I have a proven track record in system design, distributed systems, and process automation, consistently improving performance and delivering measurable business impact. I thrive in Agile environments, collaborating with cross-functional teams to deliver robust, secure, and production-ready solutions that align with HIPAA and data security standards.

Priyanshu Rastogi

I am Priyanshu Rastogi, a software engineer with over 5 years of experience designing, developing, and deploying scalable applications and data-driven solutions across healthcare and enterprise domains. I excel in Python, SQL, and cloud platforms (AWS, GCP, Azure), and I have hands-on experience building microservices, APIs, and machine learning pipelines. I have a proven track record in system design, distributed systems, and process automation, consistently improving performance and delivering measurable business impact. I thrive in Agile environments, collaborating with cross-functional teams to deliver robust, secure, and production-ready solutions that align with HIPAA and data security standards.

Available to hire

I am Priyanshu Rastogi, a software engineer with over 5 years of experience designing, developing, and deploying scalable applications and data-driven solutions across healthcare and enterprise domains. I excel in Python, SQL, and cloud platforms (AWS, GCP, Azure), and I have hands-on experience building microservices, APIs, and machine learning pipelines.

I have a proven track record in system design, distributed systems, and process automation, consistently improving performance and delivering measurable business impact. I thrive in Agile environments, collaborating with cross-functional teams to deliver robust, secure, and production-ready solutions that align with HIPAA and data security standards.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Work Experience

Software Engineer (Python/ML Applications) at Elevance Health
July 1, 2024 - Present
Designed and implemented Python-based microservices to process healthcare claims data, reducing API response times by 20%. Built ETL workflows in Airflow to extract and process large-scale patient datasets, integrating with Snowflake for reporting. Developed RESTful APIs for predictive analytics services, enabling real-time insights for healthcare providers. Applied machine learning models (classification, regression, NLP) using TensorFlow and PyTorch to improve fraud detection accuracy by 30%. Automated regulatory compliance reporting using SQL queries and Python scripts, reducing manual effort by 40%.
Software Engineer at Infosys
December 31, 2022 - October 8, 2025
Designed scalable backend services for a financial client using Python and SQL, optimizing data retrieval performance by 25%. Developed data pipelines in GCP (BigQuery, Dataflow) to handle large transaction datasets and automate reconciliation processes. Created interactive dashboards in Tableau and Power BI to track KPIs and financial performance metrics for stakeholders. Built and deployed containerized applications with Docker and Kubernetes, ensuring high availability across environments. Collaborated with architects to design distributed systems with caching (Redis) and messaging (Kafka) for high-volume transaction processing. Participated in Agile ceremonies and contributed to backlog grooming for product enhancements. Wrote unit and integration test cases to strengthen application reliability. Supported migration of legacy applications to Azure Data Factory and Synapse, streamlining enterprise reporting.
Software Engineer at Infosys
August 1, 2018 - December 1, 2022
Designed scalable backend services for a financial client using Python and SQL, optimizing data retrieval performance by 25%. Developed data pipelines in GCP (BigQuery, Dataflow) to handle large transaction datasets and automate reconciliation processes. Created interactive dashboards in Tableau and Power BI to track KPIs and financial performance metrics for stakeholders. Built and deployed containerized applications with Docker and Kubernetes, ensuring high availability across environments. Collaborated with architects to design distributed systems with caching (Redis) and messaging (Kafka) for high-volume transaction processing. Participated in Agile ceremonies (sprint planning, retrospectives) and contributed to backlog grooming for product enhancements. Wrote unit and integration test cases to strengthen application reliability. Supported migration of legacy applications to Azure Data Factory and Synapse, streamlining enterprise reporting.

Education

Masters Degree at Pace University
January 11, 2030 - October 8, 2025
Master's Degree at Pace University
January 11, 2030 - December 22, 2025
Master's Degree at Pace University, New York
January 11, 2030 - December 29, 2025

Qualifications

AWS Certified Developer – Associate
January 11, 2030 - October 8, 2025
AWS Certified Developer – Associate
January 11, 2030 - December 22, 2025
AWS Certified Developer – Associate
January 11, 2030 - December 29, 2025

Industry Experience

Healthcare, Software & Internet, Financial Services, Professional Services