BIDYUT KALITA

• Spearheaded migration 60+ taskflows, mappings, and workflows from IBM Data Stage to IICS supporting large-scale data pipelines, improving processing efficiency by 30% and reducing ETL job failures by 30%.
• Improved IICS runtime efficiency by 20% through targeted performance enhancements.
• Established automated error-handling and testing processes, lowering manual intervention by 40%.
• Delivered 80+ ETL jobs, Control-M workflows, and complex SQL procedures aligned with client requirements, ensuring 100% on-time project delivery and SLA compliance.
• Used JIRA to manage sprints, track user stories, and raise completion rate by 15%.

Tools: IICS, Snowflake, AWS S3/EC2, JIRA, GitHub

• Maintained and enhanced 50+ IBM Data Stage ETL workflows, improving job performance by 25% and supporting enterprise-wide data operations.
• Tuned ETL performance and reduced runtime by 20% through query and workflow refinements.
• Introduced Control-M scheduling and automation, saving ~15 hours per month.
• Resolved production failures with root cause analysis and preventive measures, achieving 99% success rate.
• Authored and maintained comprehensive technical documentation in Confluence, reducing onboarding time by 30% and improving cross-team knowledge sharing.

Tools: Data Stage 11.7, Control-M, Splunk, Oracle, SQL Developer

• Built scalable ETL pipelines using IBM Data Stage and automated workflows through Control-M, improving job success rate to 99.8% and ensuring on-time SLA delivery.
• Developed interactive BI dashboards using Allvue and Power BI, enabling real-time reporting and improving decision-making efficiency by 30%.
• Enhanced reporting accuracy by 25% through improved SQL stored procedures.
• Converted JIRA stories into technical deliverables and reduced rework by 25% through better requirement clarity.

Tools: Data Stage, Control-M, SQL Server, Greenplum, ServiceNow, WinSCP, JIRA