At AT&T, I designed and deployed Power BI dashboards that give business stakeholders customer, revenue, sales, retention, and forecast KPIs across telecom functions. I also built data models for self-service analysis and validated more than 58,000 records between Snowflake and Power BI datasets.
At Mastercard, I used Python to clean and preprocess data, resolving almost 50% of user-reported issues. I also designed ETL/ELT pipelines using S3, Glue, and Lambda that reduced ingestion time by 12%.
At Transol Systems, I built Azure-based pipelines for healthcare data and improved data latency by half through Data Factory workflows. I also worked on cloud migration, Spark transformations, and automated compliance checks.
