Jeevan Kumar Mula

Experienced in designing and delivering scalable cloud-based data engineering solutions using Azure Data Factory (ADF), dbt, and Snowflake. Responsible for building robust ELT pipelines, developing modular data transformation models, optimizing Snowflake data warehouse performance, and implementing automated CI/CD deployments using Azure DevOps. Experienced in integrating Azure Key Vault for secure secrets management and leveraging Azure Monitor for proactive monitoring, alerting, and operational support. Collaborate with cross-functional teams to deliver high-quality, reliable, and secure data solutions following Agile and DevOps best practices.

• Databricks Certified Data Engineer Associate
• Microsoft Certified: Azure Data Engineer Associate
• AWS CCP Certified

• Customer Centricity (Leader) – for owning and delivering the tasks
  on time as a single resource.
• Special Project Gold in the category of INTEGRITY - Performance
  with exceptional Integrity for outstanding contribution.
• Silver Cheers in the category of Innovation Keeps Us Ahead of The
  Curve for outstanding contribution.

Rockland Trust Bank — Massachusetts, USA (2025-Present)

Domain: Banking, Financial Services & Insurance (BFSI)

Rockland Trust is a leading community bank in the United States, providing personal banking, commercial banking, lending, wealth management, mortgage, and digital banking services. The current project focuses on modernizing the enterprise data platform by migrating data and workloads from legacy on-premises systems to a cloud-based Snowflake data platform.

As a Senior Data Engineer, responsible for designing and implementing scalable cloud-based data engineering solutions to migrate enterprise data from multiple on-premises source systems to Snowflake using Azure Data Factory for data ingestion and orchestration, and dbt for ELT transformations. Developed robust data pipelines and transformation models across Bronze, Silver, and Gold layers to standardize, cleanse, and curate enterprise data. Collaborated closely with business and data teams to validate migrated data, reconcile results with legacy platforms, and stabilize the cloud environment to ensure data consistency, quality, and business continuity. The modernized data platform supports regulatory reporting, customer analytics, operational reporting, and enterprise business intelligence.

Christies — London, United Kingdom (2022-2025)

Domain: Luxury Retail & Fine Art Auction Marketplace

Christie's is a British auction house founded in 1766, Christie's is a world leading art and luxury business with a physical presence in 46 countries throughout the Americas, Europe, Middle East, and Asia Pacific, and flagship international sales hubs in New York, London, Hong Kong, Paris.

My responsibility is to design and develop ETL pipelines to extract the data from multiple sources like COS, EDGE, CAMS, JDE etc. and transform the data based on business requirements and process them in a target, so that business analysts & clients can get insights into the data by accessing via Tableau, OBIEE, Object Finder reports.

Cox Communications — Atlanta, USA (2015-2022)

Domain: Telecommunications

COX Communications is widely known for providing telecommunications, Internet, Television and Home Automation services in the US across 21 sites.

My responsibility is to design and develop end to end solutions to improve and automate existing processes, perform unit testing and integration testing.