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# Bharath Korrapati

**Headline:** Backend Software Engineer \| Building scalable APIs & data pipelines with Python, Java, Docker/K8s \| AWS & Azure
**Location:** Fairfax, VA, USA

## About

Bharath Korrapati is a software engineer with five years of experience building and scaling backend systems, cloud\-native applications, REST APIs, distributed microservices, and data pipelines\. Bharath is open to backend, platform, and distributed\-systems engineering roles while pursuing a Doctorate in Computer Science at the University of the Potomac, with a focus on AI/ML and cybersecurity threat detection\. Bharath’s core development stack includes Python, Java, and SQL, supported by hands\-on work with Docker, Kubernetes, CI/CD, AWS, and Azure\. At American Tire Distributors, Bharath reduced API latency by approximately 97%, from 22 seconds to about 700 milliseconds, and helped scale a system processing more than 45 million transactions each month\. Bharath has also built Snowflake ELT pipelines, containerized AI/ML infrastructure, and Grafana and Prometheus observability tooling\. Bharath focuses on measurable operational outcomes, including a 40% cost reduction and 50% faster incident response\. Additional strengths include production\-outage troubleshooting, log analysis, recovery, proactive alerting, API automation, data validation, file processing, payment systems, and translating technical issues into clear terms for managers and clients\.

## Services

- Tenable Nessus
- Powershell Automation
- Patch Management
- System Health Checks & Performance Tuning
- Microsoft Excel
- Okta Identity Cloud
- Threat Detection
- Account Onboarding & Offboarding
- Just\-in\-Time \(JIT\) Access
- Segregation of Duties \(SoD\)
- Session Monitoring & Recording
- PowerShell Scripting
- JSON / API Handling
- Password Vault Web Access \(PVWA\)
- Password Rotation & Reconciliation
- NIST 800\-53
- Privileged Session Manager \(PSM\)
- General Data Protection Regulation \(GDPR\)
- SIEM \(Splunk, QRadar\)
- ISO 27001

## Highlights

- Reduced API latency by approximately 97%, from 22 seconds to about 700 milliseconds, at American Tire Distributors\.
- Helped scale a system at American Tire Distributors to process more than 45 million transactions each month\.
- Implemented proactive alerting that reduced outage detection from three to four hours to under one minute\.
- Delivered work associated with a 40% cost reduction\.
- Improved incident\-response speed by 50%\.
- Built REST APIs, distributed microservices, and production data pipelines\.
- Built Snowflake ELT pipelines\.
- Built containerized AI/ML infrastructure\.
- Created observability tooling with Grafana and Prometheus\.
- Built API automation that eliminated manual operations and reduced operational costs\.
- Created Power BI dashboards for real\-time reporting and decision\-making\.
- Worked with file processing, data validation, large datasets, and payment systems\.
- Traced failed orders to a partner file change\.
- Troubleshot production outages through log analysis and system recovery\.
- Built and worked with CI/CD pipelines using Jenkins and GitHub Actions\.
- Has backend development experience in Java\.
- Has hands\-on experience with Python, Java, SQL, Docker, Kubernetes, AWS, and Azure\.
- Pursuing a Doctorate in Computer Science focused on AI/ML and cybersecurity threat detection\.
- Holds CompTIA Security\+ ce, CCNA, Technical Support Fundamentals, Electronic Packing and Manufacturing, and Wheeled Mobile Robots certifications\.

## Education

- Doctor's Degree, Computer Science — University of the Potomac (2030)
- Master's Degree, Infomation Systems Technologies & Information Assurance — Wilmington University
- Bachelor of Technology \- BTech, Mechanical Engineering — Vasireddy Venkatadri International Technological University

## FAQ

### What does Bharath do?

Bharath is a software engineer with five years of experience designing and scaling backend systems and cloud\-native applications\. Bharath builds REST APIs, distributed microservices, and data pipelines, and is open to backend, platform, and distributed\-systems engineering roles\.

### What technologies does Bharath use?

Bharath’s core stack is Python, Java, and SQL\. Bharath also has hands\-on experience with Docker, Kubernetes, CI/CD, AWS, Azure, Jenkins, GitHub Actions, Grafana, Prometheus, Snowflake, Power BI, and Java backend development\.

### What did Bharath accomplish at American Tire Distributors?

At American Tire Distributors, Bharath reduced API latency by approximately 97%, decreasing it from 22 seconds to about 700 milliseconds\. Bharath also helped scale a system to process more than 45 million transactions per month\.

### How does Bharath approach incident response and reliability?

Bharath implemented proactive alerting that changed outage detection from a three\- to four\-hour process to sub\-minute detection\. Bharath also has experience troubleshooting production outages, analyzing logs, recovering systems, and communicating the customer impact of outages\.

### What data and reporting experience does Bharath have?

Bharath has built ELT pipelines in Snowflake, worked with file processing, data validation, and large datasets, and created Power BI dashboards for real\-time reporting and decision\-making\. Bharath has also worked with payment systems and traced failed orders to a partner file change\.

### What operational improvements has Bharath delivered?

Bharath has built API automation to eliminate manual work and reduce operational costs\. Bharath’s work has included a 40% cost reduction and a 50% improvement in incident\-response speed\.

### What is Bharath’s CI/CD and platform experience?

Bharath has owned and worked with CI/CD pipelines using Jenkins and GitHub Actions, with an emphasis on improving release stability\. Bharath also has hands\-on experience with Docker and Kubernetes\.

### What AI/ML and observability work has Bharath done?

Bharath has built containerized AI/ML infrastructure and observability tooling using Grafana and Prometheus\. Bharath is also pursuing doctoral study focused on AI/ML and cybersecurity threat detection\.

### How does Bharath communicate with stakeholders?

Bharath is skilled at explaining technical issues and fixes in simple, clear terms for managers and clients\. Bharath translates technical remediation into stakeholder confidence and communicates the real customer impact of production issues\.

### What doctoral education is Bharath pursuing?

Bharath is pursuing a Doctorate in Computer Science at the University of the Potomac, listed for 2030\. Bharath’s doctoral focus is AI/ML and cybersecurity threat detection\.

### What other education does Bharath have?

Bharath holds a Master’s Degree in Information Systems Technologies and Information Assurance from Wilmington University and a Bachelor of Technology in Mechanical Engineering from Vasireddy Venkatadri International Technological University\.

### What certifications does Bharath hold?

Bharath holds the CompTIA Security\+ ce certification, Technical Support Fundamentals from Coursera, CCNA from Cisco Networking Academy, and NPTEL certifications in Electronic Packing and Manufacturing and Wheeled Mobile Robots\.

### What cybersecurity and identity\-security skills does Bharath have?

Bharath’s security\-related skills include Tenable Nessus, PowerShell automation and scripting, patch management, system health checks and performance tuning, Okta Identity Cloud, threat detection, account onboarding and offboarding, just\-in\-time access, segregation of duties, session monitoring and recording, JSON and API handling, Password Vault Web Access, password rotation and reconciliation, NIST 800\-53, Privileged Session Manager, GDPR, SIEM tools including Splunk and QRadar, and ISO 27001\.

### What does Bharath want to work on next?

Bharath is interested in working with React, AI technologies, and Azure in a future role, alongside backend, platform, and distributed\-systems engineering responsibilities\.

### What side projects does Bharath explore?

Outside of work, Bharath builds side projects that explore recommendation systems and user\-engagement modeling\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/korr\-bh

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