Jeffin Devasia — Data Engineer

Senior/Lead Data Engineer who turns messy, high-volume data into reliable, governed products which are not only impactful but foundational in the age of AI. As my colleagues would testify, I'm someone who doesn't back down in face of a challenge and I'll get the impossible done. I have spent the last 8+ years working in Data Engineering across Telecom, Media&Ent, Healthcare, Banking and Travel (Holiday&Airline) domains, delivering frameworks, solution building blocks and data products which have not just been impactful but stood the test of time with grace and flair. Initial 5(y) of my data engineering journey saw me involved in some of most interesting and challenging projects working on Big Data with Hadoop, Spark, Kafka, Hive, Sqoop, NiFi and Oozie being at the core of the technologies i was working on as an individual contributor. While at Reliance(Jio), I built JSQM - A fully integrated data platform for business, Customer service agents to monitor and proactively respond to Jio set-top box networking alarms and alerts across PAN india. It also drove actionable insights over reasons and clusters around frequent disruptions. I currently design Snowflake + dbt platforms and real-time pipelines on GCP/AWS, balancing hands-on build with pragmatic architecture. Recent wins include ~25–30% compute savings, ~30% faster analytics, and Pub/Sub→Dataflow pipelines running at >99.9% availability. I care about dimensional modeling (Kimball), data quality (dbt tests/exposures, lineage), security (masking/RBAC), and DevOps at scale (Terraform, Azure DevOps/GitHub Actions). Comfortable leading squads, mentoring engineers, and partnering with Product to land measurable business outcomes. Eligible to work in Australia (subclass 482 dependent); open to roles in Sydney

Stackforce AI infers this person is a Data Engineering expert with a focus on Cloud Solutions and Big Data across multiple industries.

Experience: 9 yrs 9 mos