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Hi, I'm Ojas. I engineer data at scale. Currently architecting Snowflake and Airflow pipelines for global campaigns at Kinesso. I specialize in resilient, cloud-native platforms that solve multi-million dollar data bottlenecks.
A snapshot of my journey in data engineering and the impact I've made
I'm a Senior Data Engineer at Kinesso, where I architect and optimize large-scale Snowflake pipelines integrating multi-channel marketing and analytics data across diverse ecosystems. With deep expertise in modern data stack technologies including Python, dbt, Airflow, AWS, GCP, and real-time processing systems.
Based in Wollongong, NSW, I lead development of Airflow-orchestrated ingestion and transformation workflows, automating report delivery for global campaigns. I establish data quality monitoring frameworks using dbt tests and automated row-count checks, reducing manual QA cycles by 70%.
When I'm off-screen, I'm usually conquering my backlog of video games or exploring Wollongong.
Schema-aware synthetic data platform for databases, APIs, and pipelines. Generates realistic, relational, and privacy-safe data.
Safe, audited SQL execution layer for AI agents via the MCP pattern.
Local-first CLI to debug API tokens, track platform changelogs & sunsets, and manage secrets safely.
I'm always interested in new opportunities and collaborations. Whether you need help with data infrastructure, ML pipelines, or just want to chat about data engineering, I'd love to hear from you.