---
title: "Vaibbhav B Vasa - Engineering Manager in Bengaluru | Tal"
description: "Meet Vaibbhav B Vasa, Engineering the Data Layer for the Agentic Era based in Bengaluru. AI stack includes anthropic apis, claude code, and claude."
image: "https://tal.club/meet/vaibbhav-b-vasa/share-image"
---

# Vaibbhav B Vasa on Tal

## Headline

Engineering the Data Layer for the Agentic Era

## About

Computer Science graduate with a strong background in CS fundamentals along with an experience of developing applications on a variety of languages and technology stacks\. Currently, Managing the Data Platform team at Zepto Software Engineer \| Data Engineer \| Java \| Python \| Spark \| Hadoop \| Kafka \| Flink \| Presto \| Docker \| Kubernetes \| Helm \| Databricks

## Location

Bengaluru

## AI stack

anthropic apis

claude code

claude

gemini

langchain

Qdrant

## Work experience

Engineering Manager at Zepto, Apr 2025 \- Present · 1 yr 5 mos, Bengaluru, Karnataka, India, Designed &amp; Architect couple of new initiatives to optimize Data Engineering workloads and ensured that Data Platform is leveraged across Zepto for maximum use cases 1\. Flats on SQL Warehouse \(Lead to 75% Runtime reduction &amp; 30% Cost reduction\) 2\. Identified multiple scopes of Cost optimization across lakehouse and executed the same which reduced our monthly billing by $100K\. 3\. Multiple Backend Use cases on Clickhouse \(Supply Chain Planning team could see Live Inventory in Clickhouse &amp; Able to take realt time decisions\) 4\. Designed the layout for Spark Streaming jobs for P0 tables including their maintenance &amp; alerts\. 5\. PII Access from UI for repeated use cases\(Enabled logging &amp; limits for few users to access PII data for debugging &amp; customer support use cases \) 6\. Added PG Bouncer to reduce DB Calls on RDS

Lead Data Platform Engineer at Zepto, Nov 2023 \- May 2025 · 1 yr 7 mos, Bengaluru, 1\. Lead the entire migration from Warehouse\(Redshift &amp; Hevo\) to Lakehouse\(Databricks\) 2\. Deployed Open Source Airflow, Superset &amp; Kafka Connect on K8s\. 3\. Build CDC Layer using Kafka &amp; Debezium to load Data to Databricks Delta Tables Created multiple frameworks using Airflow &amp; Databricks Job Compute for below use cases: a\. Bronze to Silver Framework to Load Backend Postgres &amp; Mongo Tables to Databricks via CDC b\. Flats Framework for Analysts to create Gold tables\. c\. Notebook Scheduling framework for scheduling jobs in Databricks d\. Exporter Framework for exporting Data from Databricks to Google Sheets/S3 etc\. 4\. Carried out below Cost Optimization activities as well to improve utilization &amp; reduced overall cost by \~20%: a\. Use Graviton Machines for All Workloads\. b\. Clubbed Multiple Table Runs\(20\) into a single job to save Driver Cost c\. Liquid clustered tables &lt; 500GB, Partitioned &amp; ZOrdered the ones &gt; 500GB d\. Used Pools to save on Compute Spin Up Time Cost and improve reusability e\. Leverage Caching &amp; Optimizing PySpark Code in Notebooks for long running jobs\. f\. Use Spot machines with a less frequency of interruption

Data Engineer III at Navi, Dec 2022 \- Oct 2023 · 11 mos, Bengaluru, Karnataka, India, As a part of the Navi's Data Platform team, we served the Data Analytics &amp; Data Science team to cater to their data needs\. Worked mostly on below components in the past 6 months: 1\. Primarily worked on Financials Data, especially credit score related and built pipelines to target customers based on their credit score ensuring privacy and security norms\. 2\. Worked on deploying daily jobs to Presto On Spark via Self Serve Analytics approach\. Made changes to Open Source Presto codebase to make it compatible with AWS graviton instances\. 3\. Automated several workflows in Airflow for External Data Sources\. Automated Table Partitioning with Hudi using Airflow to avoid manual errors\. 4\. Worked on building Flink pipelines using Scala for real time use cases

Data Engineer II at Glance, Nov 2020 \- Dec 2022 · 2 yrs 2 mos, Bangalore Urban, Karnataka, India, As a part of the Glance Data Platform team, I have worked in planning, deploying, and upgrading the entire software stack in GCP and Azure using Microservices and Distributed systems\. Along with that, also managed the underlying ETL jobs to efficiently process and store the data\. As an Individual Contributor &amp; Teamwork we have achieved the below milestones: 1\. Consuming, Storing &amp; Managing Petabyte Scale Data ensuring quality &amp; consistency\. 2\. Improved SLA by 4 hours by Migrating various Hadoop jobs to Spark using Scala\. 3\. Onboarding the entire Stack of Roposo &amp; Shop101 to Trino reduced Infra cost by almost 45%\. 4\. Deploying self\-managed Airflow for Scheduling ETL Jobs processing data in Spark &amp; Trino 5\. Writing SQL queries &amp; Custom UDFs to aggregate raw data for business needs 6\. As the SME for Trino/Presto for entire Glance, used to research, experiment, and deploy various configuration and session properties of Trino, to utilize the resources efficiently\.

Data Engineer at Adobe, Oct 2019 \- Nov 2020 · 1 yr 2 mos, Bengaluru Area, India, • Data Reprocessing for Billions of records in order to cleanse the data in Adobe Analytics • Migrating legcy Apache Pig ETL Process to WFE\(Apache Airflow\) for scaling and processing higher volumes of data\.

Associate Data Engineer at Adobe, Nov 2016 \- Sep 2019 · 2 yrs 11 mos, Bengaluru, Karnataka, India, • Creation of Custom Solutions for features not available OOTB in Adobe products • Creation of Big Data Pipelines in Spark on AWS • Design and development of pipeline involving \- Reading data from Adobe Live Streams

Business Technology Analyst at Deloitte, Aug 2016 \- Oct 2016 · 3 mos, Hyderabad Area, India, Worked with clients to onboard their CMS to Adobe Experience Manager\. Testing various AEM components and identifying defects if any to ensure quality\.

## Education

Post Graduate Program in Big Data Engineering, Birla Institute of Technology and Science, Pilani

Post Graduation Program in Data Science Engineering, Great Lakes Institute of Management

[View the original profile](https://tal.club/meet/vaibbhav-b-vasa)

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