Open to new opportunities

Koteswar
Rao

→ Sr. Software Engineer & Full Stack Java Developer

6+ years building scalable enterprise applications across finance, healthcare, and logistics. Expert in Java, Spring Boot, AWS cloud-native services, and big data engineering with Spark & Databricks.

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6+Years Exp.

3Industries

AWSCloud Native

4Companies

KoteswarRao.java

public class KoteswarRao {
  private String role =
    "Sr. Software Engineer";

  private int experience = 6;

  private List<String> stack = List.of(
    "Java 17", "Spring Boot",
    "Apache Spark", "AWS",
    "Kafka", "Databricks"
  );

  public boolean isAvailable() {
    return true; // open to work
  }
}

technical skills

What I Work With

A full-spectrum engineering stack from backend microservices to cloud-native deployments and big data pipelines.

Core Expertise

Java / Spring Boot95%

AWS Cloud Services90%

Apache Spark / PySpark88%

React / Angular82%

Docker / Kubernetes87%

GraphQL / REST APIs92%

☕

Languages

JavaPythonPySparkJavaScriptShellC++

☁️

AWS Cloud

EC2S3LambdaEKSRDSBedrockGlueEMRSQSSNS

⚡

Data Engineering

Apache SparkPySparkHadoopKafkaDelta LakeDatabricksHive

🌐

Web & APIs

React.jsAngularGraphQLRESTOAuth2JWT

🗄️

Databases

MS SQL ServerPostgreSQLMongoDBDynamoDBOracleRedisElasticsearch

🔧

DevOps & CI/CD

DockerKubernetesJenkinsGitLab CITerraformHelmAnsible

📊

Monitoring

PrometheusGrafanaELK StackJaegerCloudWatchIstio

🏗️

Frameworks

Spring BootSpring MVCHibernateFlaskFastAPIDjango

work history

Experience

6+ years of building high-performance systems at scale across logistics, finance, insurance, and telecom.

UPS

📍 Louisville, KY

Aug 2023 – PresentSr. Software Engineer

Large-scale logistics platform for smart route optimization, real-time tracking, and customer notifications. Built backend microservices in Java 17 and Spring Boot with Spark/PySpark pipelines in Databricks.

→Reduced API response latency by 35% via optimized AWS DynamoDB and S3 data flows for Angular frontends.
→Integrated AWS Bedrock AI models for route optimization recommendations powering dispatch team workflows.
→Cut release cycle time by 40% with Jenkins + GitHub Actions CI/CD pipelines on Docker/Kubernetes (AWS EKS).
→Achieved 85%+ test coverage with Cypress & Playwright, reducing regression incidents by 30%.
→Maintained 99.9% uptime SLA for real-time tracking portal serving millions of daily requests.

Java 17Spring BootGraphQLApache SparkKafkaAWS EKSDynamoDBTerraformJenkinsGrafana

Bajaj Finance Ltd

📍 Hyderabad, India

Mar 2021 – Jul 2022Java Backend Developer

Core backend services for loan management platforms with PySpark pipelines for credit risk analytics and KYC data workflows. APIs for EMI calculations and real-time credit processing.

→Built PySpark batch pipelines processing millions of records — reduced pipeline runtime by 40%.
→Integrated AWS Bedrock generative AI for automated KYC document summarization.
→Reduced deployment lead time by 45% within first two sprints via Jenkins + GitHub Actions.
→Reduced MTTR for critical credit decisioning incidents by 50% with CloudWatch & Grafana alerting.

Java 11Spring BootGraphQLPySparkMongoDBDynamoDBRedisKafkaAWS LambdaAPI Gateway

Aditya Birla Capital Ltd

📍 Bengaluru, India

Aug 2019 – Feb 2021Associate Java Developer

Backend APIs for insurance and mutual fund operations. Scalable Spark data integration pipelines ingesting datasets from Azure Blob Storage into PostgreSQL and MS SQL Server.

→Replaced polling-based integrations with Apache Kafka — reduced event latency from minutes to seconds.
→Reduced production bug rate by 20% within two quarters via SonarQube quality gates in CI/CD.
→Leveraged AWS Glue and EMR Spark jobs to automate schema discovery and accelerate data modernization.

JavaSpring BootPySparkKafkaMS SQL ServerPostgreSQLAWS GlueEMRAzure DevOps

Infochord Technologies

📍 Hyderabad, India

Feb 2019 – Jul 2019Java Web Dev Intern

Telecom infrastructure orchestration platform using Java microservices on Kubernetes clusters integrated with OpenStack, focused on high availability and full observability.

→Achieved 99% uptime for mission-critical VNFs deployed on Kubernetes with OpenStack.
→Reduced over-provisioning costs by 20% implementing Kubernetes HPA for dynamic scaling.
→Built centralized ELK Stack logging aggregating pod logs across Kubernetes for rapid root-cause analysis.

JavaSpring BootKubernetesDockerIstioPrometheusGrafanaJaegerELK Stack

Koteswar
Rao

What I Work With

Experience

Education

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