How Rapido Evolved Its Data Platform with Medallion Architecture and Trino Optimization

Hosted by: Kirandeep Marala, Naveen S & Prabhakaran Vijayanagulu

Bootcamp Exclusive

Sat, 07 Mar 2026
11:00 AM - 01:00 PM IST

Online (Zoom)

Hosted by

Kirandeep Marala

Naveen S

Head of Content & Analytics

Prabhakaran Vijayanagulu

Sr. Data Engineer @Grab

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In this live problem-solving session, we will walk through how Rapido re-architected its data platform by adopting the medallion architecture and optimizing its Trino cluster to achieve significant cost savings without sacrificing query performance. You will see the decisions, tradeoffs, and engineering work behind a real production data platform evolution.

The session is led by Prabhakaran Vijayanagulu , a Senior Data Engineer at Grab. Prabhakaran brings deep hands-on experience in building and scaling data platforms at high-growth companies, having worked on the kind of infrastructure challenges that come with processing data at massive scale in fast-moving organizations.

What We'll Cover

✅ Understanding Rapido's original data platform and why it needed to evolve

✅ Introducing the medallion architecture: structuring Bronze, Silver, and Gold data layers

✅ Designing the Bronze layer: raw data ingestion and storage strategy

✅ Building the Silver layer: data cleaning, deduplication, and standardization

✅ Crafting the Gold layer: business-ready aggregations and reporting tables

✅ Trino cluster architecture: how Rapido configured and deployed Trino for analytics

✅ Identifying Trino performance bottlenecks and cost hotspots

✅ Optimization techniques: query tuning, resource allocation, and cluster right-sizing

✅ Measuring the impact: cost savings and performance improvements post-migration

✅ Lessons learned and pitfalls to avoid when evolving a data platform in production

Pre-Requisites / Pre-Read (Recommended, Not Mandatory)

Basic understanding of data engineering concepts (ETL, data lakes, data warehouses)
Familiarity with the medallion architecture pattern (Bronze, Silver, Gold layers)
General awareness of SQL query engines like Trino, Presto, or Hive
Understanding of cloud cost considerations in data infrastructure