Naveen Donthula
Seattle,WA
Summary
Software Development Engineer with 3 years of experience building backend services and internal platforms on Azure and AWS. Strong background in Java, Python, and C++, with hands-on experience developing services for large-scale data platforms, batch execution systems, and monitoring frameworks. Experienced in production debugging, on-call support, and writing reliable, maintainable code in regulated enterprise environments. Comfortable operating at the intersection of software engineering and data systems.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Software Engineer
Microsoft
USA
01.2025 - Current
- Worked as an SDE on Microsoft’s Financial Reporting System (FRS) data platform, supporting finance and compliance workloads used across multiple internal teams.
- Developed backend platform components using Java and Python to manage batch job execution, configuration loading, and execution state tracking.
- Built and enhanced Spark-based execution services on Azure Synapse, supporting 300+ scheduled batch jobs per day.
- Implemented retry logic, failure handling, and timeout controls, reducing repeated job failures by ~25% over multiple release cycles.
- Added data validation and reconciliation checks to catch schema mismatches and count discrepancies before downstream processing, preventing incorrect financial outputs.
- Contributed C++ utilities used for performance-sensitive parsing, validation, and internal tooling within the platform.
- Migrated multiple production workflows from Databricks based execution to Synapse Spark, improving runtime consistency and reducing operational overhead.
- Implemented structured logging and metrics using Azure Monitor and Application Insights, cutting average incident investigation time by ~40%.
- Participated in on-call rotations, troubleshooting production issues, analyzing Spark logs, and deploying fixes under SLA timelines.
- Actively participated in code reviews and design discussions with senior SDEs to improve code quality and platform stability.
- Contributed to OneBox VM validation, patching, and automation, improving environment readiness and platform stability for cross-team projects.
- Tech stack: Java, Python, C++, Azure Synapse, Azure Data Factory, ADLS Gen2, SQL Server, Azure DevOps
Software Engineer
Equity Bank
USA
01.2024 - 10.2024
- Developed and deployed RESTful microservices using Java (Spring Boot, Hibernate, JPA) on AWS (EC2, Lambda, RDS, S3) as part of a digital banking modernization initiative.
- Implemented backend business logic and reusable APIs, and optimized Oracle SQL and PostgreSQL queries, reducing transaction response times by ~20%.
- Built and automated CI/CD pipelines using Jenkins and AWS CodePipeline, improving deployment efficiency and reducing manual errors by ~40%.
- Integrated fraud detection and KYC verification APIs through service orchestration, improving system reliability and real-time data validation.
- Implemented centralized logging and monitoring using AWS CloudWatch and Splunk, enabling faster production issue analysis and resolution.
- Leveraged AI-assisted development tools (AWS Bedrock, OpenAI APIs, CodeWhisperer) to streamline unit test creation, log summarization, and developer productivity.
- Collaborated in Agile sprints, participating in code reviews and contributing to frontend dashboards using React.js for internal compliance and reporting teams.
Software Engineer (Core Banking & Data Systems)
ICICI Bank
India
06.2021 - 08.2022
- Developed and maintained Java and C++ based utilities for core banking modernization and data migration projects.
- Built and deployed web-based interfaces using Perl CGI and HTML for customer reconciliation and audit reporting.
- Implemented API-based integrations between digital lending and core financial systems, ensuring data accuracy and security.
- Designed and optimized complex Oracle SQL queries, improving report generation speed by 25%.
- Automated ETL workflows using UNIX shell scripts and Python to handle high-volume data movement during system cutovers.
- Developed Python scripts to validate and cross-check migrated data during post-deployment audits.
- Configured Jenkins and Docker for automated build, test, and deployment pipelines reducing manual effort by 30%.
- Collaborated with QA engineers to design and execute test cases using JUnit and PyTest frameworks.
- Contributed to a team effort that reduced downtime during banking platform upgrades by introducing parallel migration utilities.
Education
Master of Professional Studies - Data Science
University of Maryland
Baltimore County, MD12.2023
Bachelor of Technology - Electrical Engineering
Chaitanya Bharathi Institute of Technology
India06.2022
Skills
- Python
- SQL
- T-SQL
- U-SQL
- PySpark development
- Java
- C
- Spring Boot
- REST APIs
- Microservices
- Batch Processing
- Distributed Systems
- Message Queues
- Azure Data Factory (ADF V1/V2)
- Synapse Analytics
- ADLSGen2
- Azure Key Vault
- Azure Monitor
- Azure DevOps
- Databricks
- EC2
- Lambda
- S3
- RDS
- DynamoDB
- ECS
- SQS
- SNS
- CloudWatch
- Redshift
- Glue
- Athena
- SQL Server
- PostgreSQL
- MySQL
- MongoDB
- Docker
- Git
- Jenkins
- Terraform
- Maven
- JUnit
- Mockito
- Object-oriented programming
- Javascript
Certification
- AWS Certified Solutions Architect – Associate
- Microsoft Certified: Azure AI Fundamentals (AI-900)
- Microsoft Certified: Fabric Data Engineer Associate
Timeline
Software Engineer
Microsoft
01.2025 - Current
Software Engineer
Equity Bank
01.2024 - 10.2024
Software Engineer (Core Banking & Data Systems)
ICICI Bank
06.2021 - 08.2022
Bachelor of Technology - Electrical Engineering
Chaitanya Bharathi Institute of Technology
Master of Professional Studies - Data Science
University of Maryland