I am a results-driven software engineer with over 4 years of experience delivering backend, cloud-native applications, and data engineering solutions. I design scalable ETL pipelines, build high-performance APIs and microservices in Go and Python, and deploy secure, HIPAA-compliant systems. I thrive in AWS, Kubernetes, Docker, Terraform, and CI/CD environments, focusing on performance optimization and data-driven decision making. I enjoy partnering with data scientists and product teams to deliver impactful solutions, including real-time analytics dashboards, ML model integration, and robust data governance. I am passionate about writing reliable, observable software and automating deployments to reduce downtime and improve decision speed.

Preetham Dharshan Thangellapally

I am a results-driven software engineer with over 4 years of experience delivering backend, cloud-native applications, and data engineering solutions. I design scalable ETL pipelines, build high-performance APIs and microservices in Go and Python, and deploy secure, HIPAA-compliant systems. I thrive in AWS, Kubernetes, Docker, Terraform, and CI/CD environments, focusing on performance optimization and data-driven decision making. I enjoy partnering with data scientists and product teams to deliver impactful solutions, including real-time analytics dashboards, ML model integration, and robust data governance. I am passionate about writing reliable, observable software and automating deployments to reduce downtime and improve decision speed.

Available to hire

I am a results-driven software engineer with over 4 years of experience delivering backend, cloud-native applications, and data engineering solutions. I design scalable ETL pipelines, build high-performance APIs and microservices in Go and Python, and deploy secure, HIPAA-compliant systems. I thrive in AWS, Kubernetes, Docker, Terraform, and CI/CD environments, focusing on performance optimization and data-driven decision making.

I enjoy partnering with data scientists and product teams to deliver impactful solutions, including real-time analytics dashboards, ML model integration, and robust data governance. I am passionate about writing reliable, observable software and automating deployments to reduce downtime and improve decision speed.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

Aragonese
Advanced

Work Experience

Software Engineer at Snowflake
August 1, 2024 - Present
Designed and deployed scalable data pipelines in Snowflake using Python (Snowpark API) and SQL, processing 5TB+ of daily transaction data with a 40% reduction in ETL job execution time. Engineered a real-time analytics dashboard by integrating Snowflake with AWS Lambda and React.js, enabling sub-second latency visualizations and improving decision-making speed by 60%. Led performance tuning for Snowflake’s multi-cluster warehouses, rewriting complex SQL queries and creating materialized views, reducing AWS infrastructure query costs by $15K/month. Developed a Python-based data governance tool leveraging Snowflake’s dynamic data masking and row-level security, ensuring HIPAA compliance for 1M+ patient records. Enhanced CI/CD pipelines using GitLab CI/CD, Docker, and Python SDK, enabling automated testing, version-controlled deployments, and zero-downtime releases while reducing deployment failures by 35%. Implemented infrastructure-as-code using Terraform and AWS CloudFormation, aut
Backend Engineer (Go/Golang) at Razorpay
December 1, 2023 - September 22, 2025
Engineered and optimized high-performance RESTful APIs using Go (Gin framework), reducing response latency by 30% and handling traffic for millions of transactions daily. Developed a custom JWE token layer over JWT and enforced OAuth2 standards to secure internal and external APIs, strengthening authentication and compliance with security best practices. Designed a concurrency-safe worker pool in Go to enhance resource utilization in the Self-KYC pipeline, increasing throughput by 25% and accelerating user verification processes. Integrated ML-powered OCR and coordinate prediction models for automated redaction of sensitive information in government-issued IDs, improving compliance and reducing manual intervention by 80%. Built a scalable file processing pipeline to standardize diverse input formats (PDF, JFIF, TIFF, BMP, GIF) into JPEG/PNG for ML model compatibility, improving processing efficiency by 40%. Architected and deployed microservices on AWS EKS using Docker, Kubernetes, and
Software Engineer at Snowflake
August 1, 2024 - Present
Designed and deployed scalable data pipelines in Snowflake using Python (Snowpark API) and SQL, processing 5TB+ of daily transaction data with a 40% reduction in ETL job execution time. Engineered a real-time analytics dashboard by integrating Snowflake with AWS Lambda and React.js, enabling sub-second latency visualizations and improving decision-making speed by 60%. Led performance tuning for Snowflake’s multi-cluster warehouses, rewriting complex SQL queries and creating materialized views, reducing AWS infrastructure query costs by $15K/month. Developed a Python-based data governance tool leveraging Snowflake’s dynamic data masking and row-level security, ensuring HIPAA compliance for 1M+ patient records in a healthcare client environment. Enhanced CI/CD pipelines using GitLab CI/CD, Docker, and Python SDK, enabling automated testing, version-controlled deployments, and zero-downtime releases while reducing deployment failures by 35%. Implemented infrastructure-as-code using Te
Backend Engineer (Go/Golang) at Razorpay
December 1, 2023 - October 6, 2025
Engineered and optimized high-performance RESTful APIs using Go (Gin framework), reducing response latency by 30% and handling traffic for millions of transactions daily. Developed a custom JWE token layer over JWT and enforced OAuth2 standards to secure internal and external APIs, strengthening authentication and compliance with security best practices. Designed a concurrency-safe worker pool in Go to enhance resource utilization in the Self-KYC pipeline, increasing throughput by 25% and accelerating user verification processes. Integrated ML-powered OCR and coordinate prediction models for automated redaction of sensitive information in government-issued IDs, improving compliance and reducing manual intervention by 80%. Built a scalable file processing pipeline to standardize diverse input formats (PDF, JFIF, TIFF, BMP, GIF) into JPEG/PNG for ML model compatibility, improving processing efficiency by 40%. Architected and deployed microservices on AWS EKS using Docker, Kubernetes, and

Education

Master of Science in Computer Science at Auburn University at Montgomery, Montgomery, AL
January 1, 2024 - May 1, 2025
Bachelor of Technology in Computer Science at Nalla Malla Reddy Engineering College, India
July 1, 2018 - August 1, 2022
Master of Science in Computer Science at Auburn University at Montgomery
January 1, 2024 - May 1, 2025
Bachelor of Technology in Computer Science at Nalla Malla Reddy Engineering College
July 1, 2018 - August 1, 2022

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare