Hi, I'mAjith Annavarapu

Led migration of ETL workflows to Databricks, developed data governance frameworks, and implemented AI-driven monitoring systems. Created data optimization strategies in Snowflake and integrated LLMs for metadata tagging and automated reporting, significantly improving processing time, reducing costs, and enhancing data quality and accessibility.

Designed high-performance ETL pipelines and event-driven architectures that improved data refresh cycles and reduced ingestion delays. Implemented comprehensive workflow orchestration with Apache Airflow and deployed AI-based anomaly detection systems, ensuring high availability and automated monitoring for data pipelines serving thousands of daily users.

Built large-scale PySpark pipelines for customer data aggregation and developed predictive models for customer churn analysis. Integrated AWS services to optimize cloud storage costs and created NLP sentiment analysis pipelines, enhancing marketing personalization and analytics capabilities.

Designed Tableau dashboards for compliance metrics and developed data integration workflows with robust validation. Automated metadata cataloging processes and optimized Snowflake query performance, significantly improving reporting efficiency and enabling real-time monitoring.

Developed machine learning classifiers for fraud detection and built unsupervised anomaly detection algorithms that reduced false positives and manual audits. Created automated model training workflows and visualization dashboards, improving operational efficiency and data accuracy for risk analysis.