Chitra John

Designed and developed private and public REST APIs to expose integrated banking datasets for internal and external consumers; built APIs supporting file-based, streaming (Kafka), and domain-store data ingestion; implemented end-to-end data pipelines from Synapse Views to Cosmos DB using blue-green deployment strategies; developed ADF pipelines integrated with Databricks for incremental data loading with six-month data retention; optimized API performance, reducing response time from 2 seconds to 200 milliseconds; automated workflows using Python and Cron jobs; created and deployed API proxies across multiple gateways (AZIAG, OPIAG, EAG); implemented CI/CD pipelines and deployed applications on Kubernetes with autoscaling; collaborated with architects and lead engineers to ensure architectural consistency; authored technical documentation and API specifications; and participated in effort estimation and release planning.

Designed and developed microservices-based REST APIs to generate behavioral scores from keyboard-stroke data; built predictive analytics models to support early detection of paralysis; applied object-oriented and functional programming principles; performed unit testing, peer code reviews, and Agile sprint deliveries; and leveraged Pandas, NumPy, Scikit-learn, Seaborn, and Matplotlib for advanced data analytics and visualization.

Developed Python-based REST APIs to retrieve failed job execution details from Informatica Cloud; stored job runtime metrics in structured data stores; and generated analytical reports to support operational monitoring and troubleshooting.

Implemented queue-based data ingestion pipelines using RabbitMQ; performed multithreaded encryption and decryption of sensitive data leveraging AWS KMS; loaded processed data into AWS Timeseries databases based on time availability; generated analytical reports and stored outputs in Amazon S3; ensured code quality through unit testing and peer code reviews; collaborated with stakeholders to translate business requirements into SDLC deliverables; and utilized Pandas, NumPy, and Matplotlib for data analysis and visualization.

Developed and maintained enterprise applications for employee management, payroll, PF, leave, attendance, and asset tracking; built Python-based REST APIs to aggregate and deliver university data for the Department of Technical Education; automated business workflows using PHP and Cron jobs; produced comprehensive functional and technical documentation; and deployed and managed applications on AWS servers using SSH.

Prepared detailed functional and technical specifications, provided production support for Purchase modules within defined SLAs, managed production releases and end-to-end testing, performed sanity testing and code migration validations, and designed, built, and tested Oracle workflows and mappings.