Kumar Chinmay

Developed data pipelines using DMS, Airflow, AWS S3, and EC2. Created scripts using pandas to calculate standard deviation and z-scores for outlier detection in annual datasets. Cleaned, imputed missing values, and transformed data for AI/ML and reporting. Authored views and materialized views for Tableau report generation. Conducted data quality checks with Collibra DQ. Validated data in Dremio and AWS S3 buckets. Performed price validations for instruments using REST API. End-to-end data validation from ingestion using Kafka to storage in PostgreSQL and Oracle DB.

Requirement Analysis and Implementation: Collaborating with Business Analysts to understand requirements and translate them into effective code solutions. Software Development Lifecycle: Performing unit testing, QA migration, production deployment, and bug resolution. Performance Optimization: Enhancing code performance to improve system efficiency. Problem-Solving and Troubleshooting: Conducting root cause analysis, resolving issues, and facilitating collaboration between teams. Project Management: Leading meetings, providing status updates, and managing project timelines. Automation: Automating tasks to increase efficiency and reduce manual effort. Technical Support: Providing support for applications like ESP, Intraday Liquidity, FDIC, KYC, and RRP. Configuration Management: Configuring OCF, Autosys jobs, and MQ managers. I am skilled in resolving daily incidents and service requests, ensuring smooth application operation.