Data-focused Software Engineer specializing in scalable analytics, automation, and AI-driven systems. With 5+ years of experience across fast-paced SaaS and AI-enabled environments, I build data pipelines and reporting solutions that reduce human error, improve data quality, and unlock actionable insights. I design and deploy end-to-end systems from ETL/ELT pipelines on GCP using Python, SQL, BigQuery, dbt, and Airflow to customer-facing analytics and AI-powered automation integrated with tools like Zendesk, JIRA, and Slack. My work has reduced sales cycles by 90%, automated 40% of support inquiries, and significantly improved operational visibility. Strong in Python, data modeling, APIs, cloud-native architectures, and observability. I thrive at the intersection of data engineering and product, turning complex datasets into reliable, scalable insights that power better decisions. Currently exploring Data Engineer / Analytics Engineer roles where I can build impactful data platforms and intelligent reporting systems.