W User

I’m an Expert Senior Data Engineer with over 12 years designing and managing complex, large-scale data ecosystems. I specialize in building robust ETL/ELT pipelines, optimizing high-performance data warehouses, and implementing cloud-native infrastructure—grounded in strong proficiency in PySpark, Python, and SQL. I focus on distributed systems that deliver high availability and low latency, while keeping data reliable for operational and research-grade decision-making.

Across multiple platforms, I’ve architected end-to-end pipelines for real-time and batch workflows, including streaming ingestion and rigorous data quality monitoring. I’ve implemented automated alerting to proactively detect and remediate data drift in multi-modal sensor streams, and I’ve partnered with AI teams to enable experiment tracking, lineage management, and model evaluation with MLflow. I also optimize cost and performance through storage lifecycle policies, slot utilization strategies, and query acceleration techniques like partitioning and caching.

My engineering approach blends platform reliability with delivery velocity: I build orchestration and DevOps foundations using CI/CD, Infrastructure as Code (Terraform), Docker, and Kubernetes, and I operationalize pipelines with observability practices using SLIs/SLOs. I’ve led major migrations to AWS while maintaining zero data loss and 99.9% uptime for critical training pipelines, and I’ve introduced self-healing and robust security governance to reduce failures and protect sensitive datasets. I’m energized by cross-functional ownership—translating complex data needs into secure, scalable systems that teams can confidently rely on.