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I'm Ashish Katuri, a Software Engineer & Data Engineer with 3+ years of experience across McKesson, JPMorgan Chase, KPMG, and Dell Technologies. I specialize in Python backend development, data pipeline automation, and cloud-native solutions using AWS, PySpark, Kafka, and Snowflake.\n\nI excel at API design, CI/CD, and containerization with Docker and Kubernetes. I’m adept at integrating machine learning models and optimizing systems that process terabytes of data with reliability and regulatory compliance in healthcare and financial domains.…I'm Ashish Katuri, a Software Engineer & Data Engineer with 3+ years of experience across McKesson, JPMorgan Chase, KPMG, and Dell Technologies. I specialize in Python backend development, data pipeline automation, and cloud-native solutions using AWS, PySpark, Kafka, and Snowflake.\n\nI excel at API design, CI/CD, and containerization with Docker and Kubernetes. I’m adept at integrating machine learning models and optimizing systems that process terabytes of data with reliability and regulatory compliance in healthcare and financial domains.

Ashish Katuri

Back-End Developer, Full Stack Developer, Web Developer, +3

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I'm Ashish Katuri, a Software Engineer & Data Engineer with 3+ years of experience across McKesson, JPMorgan Chase, KPMG, and Dell Technologies. I specialize in Python backend development, data pipeline automation, and cloud-native solutions using AWS, PySpark, Kafka, and Snowflake.\n\nI excel at API design, CI/CD, and containerization with Docker and Kubernetes. I’m adept at integrating machine learning models and optimizing systems that process terabytes of data with reliability and regulatory compliance in healthcare and financial domains.…I'm Ashish Katuri, a Software Engineer & Data Engineer with 3+ years of experience across McKesson, JPMorgan Chase, KPMG, and Dell Technologies. I specialize in Python backend development, data pipeline automation, and cloud-native solutions using AWS, PySpark, Kafka, and Snowflake.\n\nI excel at API design, CI/CD, and containerization with Docker and Kubernetes. I’m adept at integrating machine learning models and optimizing systems that process terabytes of data with reliability and regulatory compliance in healthcare and financial domains.

Available to hire

I’m Ashish Katuri, a Software Engineer & Data Engineer with 3+ years of experience across McKesson, JPMorgan Chase, KPMG, and Dell Technologies. I specialize in Python backend development, data pipeline automation, and cloud-native solutions using AWS, PySpark, Kafka, and Snowflake.\n\nI excel at API design, CI/CD, and containerization with Docker and Kubernetes. I’m adept at integrating machine learning models and optimizing systems that process terabytes of data with reliability and regulatory compliance in healthcare and financial domains.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Javanese

Advanced

Bashkir

Advanced

Afar

Intermediate

Work Experience

Software Engineer at McKesson

April 1, 2025 - Present

Architected and deployed scalable RESTful APIs using Python (FastAPI) and PostgreSQL to enable seamless integration among 10+ healthcare systems, improving real-time patient data exchange in compliance-sensitive environments. Optimized backend performance with asynchronous I/O and Redis caching, reducing API response time from 2.4s to 0.9s and increasing reliability for 50,000+ daily transactions. Built automated data pipelines with Python, Pandas, and AWS Lambda to process 4TB of medical transaction data weekly, enhancing accuracy in prescription and inventory reconciliation workflows. Led cross-functional efforts to containerize backend services with Docker and Kubernetes, delivering zero-downtime deployments across 8 production clusters. Championed code quality with unit testing (PyTest) and GitHub Actions CI/CD, resulting in 300+ automated builds with minimal rollback incidents, and improved maintainability across the service mesh.

Data Engineer at JPMorgan Chase (JPMC)

October 1, 2024 - April 1, 2025

Designed and built enterprise-grade data pipelines with PySpark and AWS Glue, processing ~1.8 TB of structured and semi-structured data daily to accelerate downstream analytics for risk and finance teams by ~2.5 business hours. Implemented Kafka-based ingestion streams and Snowflake staging layers handling ~8.2 million transactions daily to support real-time credit exposure monitoring across multiple trading systems. Optimized SQL ETL queries and indexing, cutting batch processing time from 11 minutes to under 3 minutes and speeding data warehouse refresh cycles for 12+ critical dashboards. Automated archival of trade history via AWS Lambda and S3 Glacier, migrating 4.6 billion rows and saving about $42k annually. Collaborated with DevOps and governance teams to enforce data validation checks across 14 feeds, ensuring zero integrity breaches during audits. Mentored 3 associates in Spark optimization and data modeling, delivering 2 migration projects within six months.

Software Engineer at KPMG

October 1, 2020 - May 1, 2022

Developed internal automation tools with Python, SQL, and Power BI APIs to generate real-time audit reports, reducing manual report compilation by 22 staff hours weekly. Engineered data ingestion via Azure Data Factory and ETL scripts consolidating 4.2 million transactions, improving data accessibility for compliance and risk analysis. Implemented backend logic in Java and C# (.NET Core) for client-facing applications to ensure 99.9% uptime and sub-200ms query responses. Integrated APIs with Salesforce and Oracle to synchronize audit data across 6 client portfolios, eliminating redundant data entry. Optimized PostgreSQL and MS SQL Server schemas, boosting data retrieval for dashboards by ~1.6x. Led cross-functional collaboration with analysts to align with audit workflows and regulatory standards. Orchestrated code reviews and release cycles using Git, JIRA, and Azure DevOps for a 7-member team. Presented data integrity findings to senior partners, enabling on-time delivery for 9 proje

Software Engineer Intern at Dell Technologies

December 1, 2019 - August 1, 2020

Developed internal automation tools with Python and Flask to reduce manual test time by 3 hours per release and improve engineering throughput across two product lines. Built and validated RESTful endpoints, connecting five microservices in Dell's enterprise product environment. Collaborated on CI/CD workflows with Jenkins and Git to deploy 20+ automated releases with minimal rollbacks. Optimized Python scripts for log parsing and data extraction, cutting analysis time from 25 minutes to under 8 minutes while strengthening debugging efficiency.

Software Engineer at McKesson, USA

April 1, 2025 - Present

Architected and deployed scalable RESTful APIs with Python (FastAPI) and PostgreSQL to enable real-time data exchange across 10+ healthcare systems in compliance-sensitive environments. Improved backend latency by implementing asynchronous I/O and Redis caching, reducing response time from 2.4s to 0.9s for 50,000+ daily transactions. Built automated data pipelines in Python, Pandas, and AWS Lambda processing 4TB weekly, enhancing prescription and inventory reconciliation. Led containerization with Docker/Kubernetes for zero-downtime deployments across 8 production clusters. Implemented PyTest-based unit tests and GitHub Actions, enabling 300+ automated builds with minimal rollbacks.

Data Engineer at JPMorgan Chase (JPMC), USA

October 1, 2024 - April 1, 2025

Built enterprise-grade data pipelines with PySpark and AWS Glue processing ~1.8 TB daily, improving downstream analytics by 2.5 business hours. Created Kafka-based ingestion streams and Snowflake staging layers handling ~8.2M transactions/day for real-time credit exposure monitoring. Optimized SQL-based ETL queries and indexing, reducing batch times from 11 minutes to under 3 minutes. Automated archival workflows via AWS Lambda and S3 Glacier, migrating 4.6B rows of trade history and saving ~ $42k annually. Collaborated with DevOps and governance teams to design validation checks and schema enforcement across 14 feeds, ensuring zero integrity breaches during audits. Mentored 3 associate data engineers on Spark optimization, SQL tuning, and data modeling.

Software Engineer at KPMG, India

October 1, 2020 - May 1, 2022

Developed internal automation tools using Python, SQL, and Power BI APIs to generate real-time audit reports, reducing manual report compilation by 22 staff hours weekly. Engineered Azure Data Factory ETL pipelines to consolidate 4.2M financial transactions, improving data accessibility for compliance and risk analysis. Designed backend logic in Java and C# (.NET Core) for client-facing applications, ensuring 99.9% uptime and sub-200ms query responses. Integrated APIs with Salesforce and Oracle to synchronize audit data across 6 client portfolios. Optimized PostgreSQL and MS SQL Server queries, boosting data retrieval for dashboards by 1.6x. Collaborated with analysts to translate requirements into scalable modules and delivered 9 projects on time.

Software Engineer Intern at Dell Technologies, India

December 1, 2019 - August 1, 2020

Developed internal automation tools using Python and Flask, reducing manual test execution time by 3 hours per release and improving team throughput. Connected backend modules with RESTful APIs and validated data consistency across 5 microservices. Implemented CI/CD workflows with Jenkins and Git, enabling 20+ automated deployments with minimal rollback. Optimized Python scripts for log parsing and data extraction, cutting analysis time from 25 minutes to under 8 minutes.