I work with data pipelines, dashboards, and analytics to turn raw numbers into something people actually understand. Based in Bengaluru, building at Collins Aerospace.
I am a data engineer and analyst at Collins Aerospace in Bengaluru. I have been here since my internship in early 2023, which says a lot about what the work is like and why I chose to stay.
My day-to-day is mostly about making sense of complex data, building pipelines that hold up under pressure, and working with cross-functional teams who need clear, reliable insights to make decisions.
I graduated from Vellore Institute of Technology with a B.Tech in Computer Science in 2023. I like problems that sit at the intersection of engineering and analysis, and I get genuinely curious when data tells a story that was not obvious at first glance.
Tools I use regularly, plus a few picked up while solving real problems on the job.
Over 3 years at Collins Aerospace, growing from intern to associate engineer.
Working as an associate engineer with a focus on data systems and analytics in an aerospace environment. Building and maintaining data infrastructure, running analysis on operational datasets, and collaborating with engineering teams to support product decisions with reliable data.
Joined full-time right after graduating. This year was about getting deeply familiar with internal systems, enterprise-grade data workflows, and understanding how large-scale engineering organisations structure their data. Picked up a lot about working with legacy systems alongside modern tooling.
Started as an intern in the final semester of college. Got handed real work from day one, which made the transition to full-time a lot smoother. Worked on internal tooling, data tasks, and got familiar with how aerospace-grade software teams operate.
Built a streaming pipeline to ingest, process, and store sensor telemetry data from aircraft components. Designed for low latency and high availability with automated alerting on anomalies.
Designed and developed an internal BI dashboard that gives engineering teams a clear view of operational KPIs. Reduced time spent on manual reporting by automating recurring data pulls and transforms.
Built a validation framework for incoming data across multiple sources before it reaches downstream systems. Catches bad data early and logs anomalies for review with minimal manual intervention.
Deep-dive analysis on supply chain datasets to surface bottlenecks and delivery trends. Findings were used directly to adjust procurement timelines across several internal teams.
Whether it is a project, a role, or just a conversation about something interesting in the data world, my inbox is open.