Kamali S

I’m a Data Engineer with 3.6 years of experience at Accenture, focused on cloud-based data integration, transformation, and pipeline development. I bring a strong foundation in data quality and governance, and I enjoy turning messy inputs into reliable, analytics-ready datasets.

At Accenture, I design and develop end-to-end ETL pipelines in Snowflake—building centralized reporting and analytics platforms that support downstream business needs. I create and manage Snowflake objects (databases, schemas, tables, external stages, file formats, streams, tasks, and stored procedures) and implement automated ingestion using external stages and COPY INTO for reusable, scalable loading.

I also lead robust data reliability practices, including Change Data Capture (CDC) with Snowflake Streams and Tasks, multi-layer architecture (RAW WORK → TARGET → ACCESS), and audit/logging frameworks that track every execution and transformation. I implement restartability and error-handling so pipelines can recover from failures cleanly, and I standardize operational monitoring with automated notifications.

On the data quality side, I implement enterprise-grade Informatica CDQ rule specifications—building reusable parsers and standardizers, creating data quality scorecards with thresholds, and applying matching/merging logic to eliminate duplicate records. I’ve also played a key role in migrating 2200+ PowerCenter workflows to Informatica Cloud Data Integration, successfully migrating 300+ workflows using Informatica RPA utility, while re-engineering legacy logic into modular, maintainable IICS taskflows through dependency management, exception handling, and testing.