Anisha Reddy Alla

At Apple, I lead cross-functional delivery of Azure-based data pipelines supporting large-scale customer-support workflows. I’ve built and maintained more than 15 pipelines to improve ingestion reliability.

I define enterprise data architecture with medallion and lakehouse patterns across Azure and Databricks, with a focus on scalability and cost efficiency. I’ve also optimized Python- and SQL-based ETL workflows, reducing processing time by 30%.

At Capital One, I analyzed more than one million transactional records, improved ingestion and transformation efficiency by 25%, and supported secure ELT and governance workflows. I also built reusable Power BI and Tableau dashboards that reduced reporting cycle time by 30%.

Earlier at Tech Mahindra, I documented SQL data pipelines, automated ETL and ELT processes, and improved data quality, orchestration reliability, and delivery speed. I bring more than six years of experience translating requirements into scalable data solutions with strong governance and compliance.