Vishnuvardhan Reddy
Big Data Engineer | 5+ Years in AWS, Azure, GCP, Spark & Snowflake | Expert in Scalable Data Solutions & ETL Pipelines | Agile, Predictive Analytics, and Industry Expertise in Retail, Finance, and Insurance
- Role
- Big Data Engineer at Apple
- Location
- Overland Park, KS, US
- LinkedIn followers
- 500 followers
About Vishnuvardhan Reddy
I am a Cloud Data Engineer with 7+ years of experience designing and delivering…
Experience
Big Data Engineer
Aug 2024 — Present · Austin, TX, US
Designed and implemented a high-performance data pipeline in Azure Databricks, processing5TB+ of user and product data daily, reducing data processing time by 35% and improvingdownstream analytics at scale->Developed ETL workflows in Azure Synapse and ADF to unify structured (SQL Server, APIs)and unstructured (logs, app events, customer feedback) data, ensuring accuracy andconsistency across enterprise systems->Spearheaded the migration of legacy SQL data systems to Azure Cloud SQL Server, achievinga 30% cost reduction and enabling cloud-native scalability for billions of records->Deployed Spark + Delta Lake pipelines, optimizing large-scale data handling and improvingprocessing speeds by 40%, enabling near real-time insights for product and user analytics. Architected and delivered a centralized enterprise data warehouse (Synapse + Delta), improving data availability and reporting speed by 50% across multiple business units->Built real-time analytics dashboards with Power BI and Synapse, enabling executives tomonitor user engagement, sales, and operations in real-time, driving 25% faster decisions. Integrated Kafka and Spark Structured Streaming for live ingestion of event streams (userinteractions, app telemetry), supporting proactive decision-making and anomaly detection->Implemented containerized deployments (Kubernetes) for critical data services, reducingdeployment time by 40% while maintaining scalability across projects. Strengthened data governance and security by leveraging Azure Key Vault, Unity Catalog, androle-based access controls, ensuring compliance with Apple’s data protection standards. Automated system monitoring using Azure Monitor and Log Analytics, improving platformavailability and reducing downtime by 35%->Led adoption of Terraform for Infrastructure-as-Code (IaC), delivering consistent and scalabledata environments across multiple teams and projects.
Education
Malla Reddy College of Engineering & Technology
Bachelor of Technology - BTech, Electrical and Electronics Engineering
University of Central Missouri
Master of Science - MS, Computer Science
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