• Designed and developed end-to-end ETL pipelines to support financial data ingestion, transformation, and reporting for investment and risk management teams

• Built scalable data workflows using Python and Snowflake, optimizing query performance and reducing data processing time by 30%

• Integrated and maintained RESTful APIs for internal systems and third-party financial data providers, enabling real-time market and transactional data access

• Automated critical data jobs and monitoring tasks using SOS Job Scheduler, improving SLA compliance and operational reliability across 100+ scheduled workflows

• Developed interactive dashboards and tools using JavaScript and front-end frameworks to visualize financial metrics and risk indicators

• Deployed and maintained cloud-native data applications using AWS services (e.g., S3, Lambda, EC2, CloudWatch), ensuring high availability and secure data access

• Collaborated closely with data analysts, portfolio managers, and DevOps to gather requirements, design efficient data models, and deliver actionable insights

• Wrote and optimized complex SQL queries in Snowflake to extract, aggregate, and clean multi-terabyte datasets for downstream analytics

• Ensured compliance with financial industry standards and internal data governance policies, including encryption, access control, and audit trails

• Contributed to technical documentation, peer code reviews, and continuous integration pipelines to support agile development and release cycles

• Engineered technical solutions with an 8-person team to facilitate the transition from paper to tablet, resulting in a 50% reduction in data entry errors and a 30% increase in operational efficiency.

• Architected RESTful APIs leveraging Django Rest Framework to enhance front-end and back-end integration, boosting efficiency by 10%, this optimization contributed to a 20% increase in user engagement and reduced bounce rates.

• Spearheaded the development of server-side web applications in AngularJS with TypeScript/JavaScript/HTML/CSS, enhanced service efficiency by 15% by revamping data retrieval processes and implementing performance-boosting code optimizations.

• Designed and implemented serverless APIs with Node.js and Terraform, cutting server load by 20%, driving operational efficiencies and enhancing system performance for improved user satisfaction and engagement.

• Orchestrated deployment of applications on AWS cloud platform using EC2 instances, S3 buckets, AWS CloudWatch for monitoring, AWS Lambda for serverless computing, and AWS DynamoDB for storage, resulting in a 17% efficiency increase.

• Streamlined automated deployment processes using CI/CD pipelines, streamlining software delivery and reducing deployment time by 40%.

• Orchestrated code review procedures on Github to ensure code quality and foster team collaboration; resulting in a 20% reduction in bugs.

• Devised a comprehensive suite of automated unit tests using Mocha and Chai framework; achieving a flawless 100% pass-rate; ensured stringent code quality standards and reduced bug-fixing time by 40%.

• Enhanced MySQL database performance by optimizing SQL queries, resulting in a 5% increase in data retrieval speed; instrumental in driving operational efficiency and supporting timely decision-making processes.

• Designed, developed, and maintained automated test frameworks and test suites for Android-based Motorola smartphones and embedded systems.

• Collaborated with cross-functional teams including developers, product managers, and QA to define test strategies and acceptance criteria for software features.

• Built scalable automation solutions using Python, Java, and Robot Framework, improving test execution time by 40%+.

• Developed and executed end-to-end, UI, API, and regression test cases, ensuring >95% test coverage across firmware and system components.

• Integrated test automation into CI/CD pipelines using Jenkins, GitLab CI, and contributed to continuous testing best practices.

• Performed root cause analysis of failures, worked closely with developers to triage and resolve critical bugs, and contributed to a 25% reduction in release-blocking defects.

• Utilized ADB, Android Studio, and logcat analysis for debugging mobile software and optimizing performance validation.

• Executed tests on real devices and simulators/emulators, across multiple hardware variants and Android versions.

• Authored detailed test plans, reports, and documentation to support internal reviews, audits, and global release cycles.

• Participated in code reviews, test case peer reviews, and ensured compliance with Motorola’s software quality standards.

Worked backend in C++ to write source codes for the current software project PANACIM of the company using CentOS with 100% accuracy.