At Cognizant Technology Solutions, I designed and maintained data pipelines for enterprise analytics, reporting, and compliance. I built Apache Kafka streaming pipelines that reduced latency from 4 hours to under 3 minutes while processing 10M+ daily events.
I also developed Snowflake ELT pipelines and reusable dbt models, and designed Delta Lake layers using Medallion Architecture. Integrating Great Expectations with Airflow helped reduce data quality issues by 60% across 15+ critical datasets.
At Accenture, I developed Azure-based data pipelines for enterprise banking and implemented Delta Lake MERGE patterns that reduced pipeline complexity by 35%. I also established monitoring across 30+ production pipelines and supported CI/CD automation.
Earlier, as a Junior Data Engineer at Infosys, I built Python-based ETL pipelines and SQL transformations for analytics and reporting, reducing manual reconciliation effort by 40%. My work spans AWS and Azure data platforms, streaming, data quality, and governance.
