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Mani Sharath Chandra Sattu

Software Developer • United States • s***************@gmail.com • +16******883 • drivetube.ai/•••••

Professional Summary

Full-stack Java Engineer with 7+ years of experience designing, building, and operating scalable microservices and reactive applications. Strong background in Java 17 and Spring Boot, Spring WebFlux for non-blocking services, event-driven integrations with Apache Kafka and IBM MQ, and building secure REST APIs on AWS. Experienced across the full SDLC in Agile teams, with hands-on ownership of CI/CD, observability, and production troubleshooting.

Technical Skills

Programming Languages: Python,TypeScript,Bash
Web Technologies: HTML,CSS,REST APIs
Frameworks and Libraries: Spring Boot,Spring WebFlux,Spring Security,Hibernate,Angular,LangChain
Databases: Oracle,SQL Server,PostgreSQL,MongoDB,DynamoDB
Cloud and DevOps: Amazon EC2,Amazon S3,Amazon API Gateway,AWS IAM,Amazon SQS,Amazon CloudWatch,Amazon Bedrock,Docker,Kubernetes,OpenShift,Helm,Maven,Gradle,Jenkins,GitHub Actions,Harness
Testing: JUnit,Swagger,Unit testing
Data and Analytics: JasperReports,SQL query tuning
Tools and Methodologies: Git,Postman,Agile
Skills: Java 17
Messaging and Eventing: Apache Kafka,IBM MQ,Event-driven architecture
Observability and Logging: Log4j,Kibana,CloudWatch
AI and Prompting: LangGraph,LangSmith,Prompt engineering
Development Practices: Code reviews,Automated deployment

Work Experience

Kaiser Permanente
United States
Software Developer
Jan 2025 – Present
Built backend services for a clinical documentation platform on AWS supporting encounter lifecycle, note drafting, approvals, and audit tracking for healthcare workflows.
Tech Stack: Java 17, Spring Boot, Spring WebFlux, Spring Security, Oracle, Hibernate, Apache Kafka, Amazon SQS, AWS EC2, AWS S3, AWS API Gateway, AWS IAM, Maven, Jenkins, JUnit, CloudWatch, Angular, GitHub Copilot
  • Designed and implemented Spring Boot microservices using Java 17 and Spring WebFlux to support encounter lifecycle and note approval workflows, improving modularity and maintainability of clinical services.
  • Secured REST APIs with Spring Security using JWT and OAuth2 integrated with AWS IAM to enforce least-privilege access controls for protected clinical data and align with healthcare compliance requirements.
  • Implemented asynchronous event-driven processing using Apache Kafka and Amazon SQS with Java concurrency constructs, enabling resilient document processing and reducing retry failures on intermittent downstream errors.
  • Tuned persistence layer using Hibernate and Oracle, optimizing queries and transaction boundaries to improve persistence performance for high-volume encounter records.
  • Owned CI/CD and release automation with Maven and Jenkins, deploying services to EC2 and API Gateway and integrating CloudWatch for centralized logging and metrics to reduce incident resolution time.
  • Adopted AI-assisted development workflows with GitHub Copilot and enforced secure coding practices plus automated unit and integration testing with JUnit to accelerate delivery while maintaining code quality.
Corning Incorporated
Charlotte, NC
Software Engineer
Jan 2024 – Dec 2024
Developed backend services and dashboards for manufacturing and operational data pipelines, providing KPI tracking and operational visibility for production systems.
Tech Stack: Java 17, Spring Boot, Hibernate, Apache Kafka, SQL Server, Angular, JasperReports, Maven, Jenkins, JUnit, Log4j, Kibana, Git
  • Architected Spring Boot services for high-throughput data ingestion and schema validation of manufacturing operational data, exposing REST endpoints used for KPI tracking and reporting.
  • Implemented multi-threaded Apache Kafka pipelines with retry and backoff strategies to handle bursty telemetry and batch data, improving pipeline throughput and resiliency.
  • Optimized Hibernate mappings and tuned SQL Server stored procedures to reduce slow queries and accelerate reporting and operational analytics.
  • Developed Angular dashboards and integrated JasperReports to deliver operational visibility and actionable KPIs to manufacturing stakeholders.
  • Maintained CI/CD pipelines with Maven and Jenkins and increased automated test coverage with JUnit to support predictable, frequent releases.
  • Monitored application logs and metrics using Log4j and Kibana to triage production incidents and implement fixes that reduced recurring failures.
Blackstraw.ai
India
Software Engineer
Aug 2018 – Jul 2023
Worked at an AI/data startup building ingestion and processing pipelines for merchant transactional and email data, improving data quality and operational automation.
Tech Stack: Java, Python, PostgreSQL, EML parsing, Shell scripting, Cron, Git, Bitbucket, JUnit, Logging
  • Designed and implemented a Java-based EML parsing module to extract structured merchant and transaction data, reducing manual corrections and improving downstream data accuracy.
  • Authored Python ingestion scripts and shell automation to perform end-to-end reprocessing of two years of historical merchant data, validating results against PostgreSQL to restore dataset integrity.
  • Automated batch reprocessing workflows using cron and shell scripts with robust retry logic and logging to handle high-volume job runs reliably.
  • Improved core processing logic and data validation checks to increase processing accuracy and eliminate recurring manual fixes, collaborating with QA to verify outcomes.
  • Mentored and onboarded junior engineers, produced technical documentation and runbooks to transfer operational knowledge and accelerate incident resolution.
  • Maintained CI builds and version control with Git and Bitbucket, implemented unit tests and enhanced logging to streamline debugging and supportability.

Projects

Job Fit Analyzer
Tools Used: AWS Step Functions, AWS Lambda, Python, DynamoDB, Amazon Bedrock, GitHub Actions, AWS CDK, Claude 3 Haiku
  • Built a serverless multi-agent pipeline using Step Functions, Lambda, and DynamoDB to perform skill matching, salary benchmarking, gap analysis, and resume feedback within under 30 seconds while enforcing IAM least-privilege.
  • Implemented a retrieval augmented generation system with Amazon Bedrock Titan embeddings and cosine similarity, integrating Claude 3 Haiku and structured prompting to ground suggestions to real job requirements.
  • Automated end-to-end deployment via GitHub Actions and AWS CDK, implemented build caching, environment promotion, and CloudWatch tracing to enable reliable production debugging and observability.

Education

Grand Valley State University
Master of Science, Data Science and Analytics • United States • Aug 2023 – Apr 2025
Anubose Institute of Technology
Bachelor of Technology, Computer Science and Engineering • India • Jul 2016 – May 2019

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