Architected and deployed end-to-end data pipelines on AWS (S3, Glue, Athena, Iceberg) with CI/CD via GitHub Actions, reducing time-to-deploy and standardizing deployment practices. Built and maintained billing data pipelines and reporting systems enabling accurate real-time revenue tracking for business stakeholders. Designed a centralized API for business entities using domain-driven data modeling, contributing to a scalable control plane architecture. Significantly reduced Athena query costs by redesigning data models and precomputing datasets, eliminating redundant scans. Improved URL redirection service scalability via Redis-based queueing, increasing throughput and reducing latency under high load. Introduced distributed processing with Apache Spark, enabling the team to handle growing data volumes without pipeline degradation. Contributed to agentic development practices, automating repetitive engineering workflows and reducing manual intervention.

Maintained and optimized a production fraud detection system using Docker and system-level tuning, ensuring high availability and reliability. Optimized Kafka and Debezium CDC pipelines, reducing data traffic by 80% through schema filtering and partition tuning. Enhanced PostgreSQL and Redis performance via query optimization and caching strategies, improving overall system stability. Led migration of legacy ETL pipelines to AWS (S3, Glue, Redshift), modernizing data infrastructure and improving scalability. Operated and supported ML systems in production: model monitoring, performance maintenance, and incident response.

Implemented monitoring and data validation systems that reduced production incidents by 90%, improving pipeline reliability across clients. Contributed to Data Warehouse Data Lake migration, improving data accessibility and reducing storage costs. Automated financial reporting across multiple countries, eliminating manual processes and ensuring consistent, timely delivery. Established CI/CD pipelines and data quality frameworks, standardizing deployment and testing practices across the team.

Supported migration of data infrastructure to GCP (BigQuery), ensuring data integrity, quality validation, and zero data loss. Developed and maintained ETL workflows using Apache Airflow, automating data ingestion from multiple source systems. Built reporting and analytics automation solutions, reducing manual effort and enabling faster business insights.