---
title: "Sudhir Kenguva - Lead Data Engineer in Gunupur | Tal"
description: "Meet Sudhir Kenguva, Lead Data Engineer (GCP) | GenAI & Agentic Workflows | State Topper | Certified: ClickHouse, Redis, MongoDB | Mage AI & OSS based in Gunupur."
image: "https://tal.club/meet/sudhir-kenguva/share-image"
---

# Sudhir Kenguva on Tal

## Headline

Lead Data Engineer \(GCP\) \| GenAI & Agentic Workflows \| State Topper \| Certified: ClickHouse, Redis, MongoDB \| Mage AI & OSS

## About

Driven by a deep curiosity for software systems, I have acquired nearly a decade of hands\-on experience spanning research, backend, full stack, and data engineering roles\. My journey began as a college research scholar and evolved into designing scalable, data\-driven solutions that deliver measurable business impact\. I excel at bridging business objectives with technical execution, ensuring the end results are not only robust but also aligned with organizational goals\. Eager to continuously learn and contribute, I aim to leverage my diverse expertise to create meaningful value and drive innovation in data engineering and beyond\.

## Location

Gunupur

## Work experience

Lead Data Engineer at AuxoAI, Dec 2025 \- Present · 5 mos, Hyderabad

Senior Data Engineer at ApnaKlub, Dec 2020 \- Nov 2025 · 5 yrs, As the sole Data Engineer and founding engineer at the organization, I had the opportunity to directly contribute to scaling the business from just a few orders a day to around 1,500 orders per day\. During this journey, the company grew from about ₹6 lakhs in annual revenue to nearly ₹700 crores\. Has setup Clickhouse data warehouse using GCP Cloud Run and drove its adaptation across the team, reduced the overall data warehousing cost by 60% and improved the dashboard performances by 100% Reduced the Bigquery overall cost by 50% by continuous tracking and optimizing heavy queries, building pre computed tables and related pipelines\. Setup PeerDB for the CDC from Postgres to Clickhouse and Bigquery data warehouses and improved the sync time by 150% Designed and Implemented segment event pipeline by reducing overall cost by 70% and improving speed by 100% using Python, Clickhouse, mage AI & GCS Buckets against the earlier implementation with BigQuery\. Introduced and guided the team on adaptation of Git as version control & the branching strategies\. Managing around 50 dashboards in Metabase for different teams like Marketing, Supply, Growth, Ops Wrote multiple pipelines by integrating APIs and Webhooks to fetch the real time & near real time data from ERP Next for different business use cases like Margin calculation, Back in stock alert based on GRNs, Sellable/Non Sellable/Damage bin articles, Intransit articles, Finance data \(like accounts payables, receivables, tax information\)\. Technologies used: Python, Mage AI, GCP cloud functions, GCP cloud tasks, Apache Kafka, Airflow Developed and deployed data pipelines to support critical analytics projects including lead scoring, inventory aging analysis, dynamic pricing model, and product recommendation systems using Python, Mage AI, PySpark, and Parquet file formats\. Optimized data processing workflows to enable robust, scalable, and efficient data transformations and integrations

Data Engineer at ApnaKlub, Nov 2019 \- Nov 2020 · 1 yr 1 mo

Back End Engineer at Kore\.ai, Aug 2018 \- Jul 2019 · 1 yr, Hyderabad Area, India, Worked on the kore\.ai bot builder backend system\.

Full Stack Engineer at Spectraforce Technologies, Jun 2016 \- Aug 2018 · 2 yrs 3 mos, Hyderabad Area, India, Worked on the Backend system of Livit Project \(Digital Patient Care\) and front end of pharmacy dashboard\. Worked on content\-based search platform of RTI international a non profit research institution using AngularJS, Node JS and Apache Solr

## Education

Master’s Degree, M\-Tech Computer Science and Engineering, Odisha University of Technology and Research

Master of Computer Applications \(MCA\), Computer Science, Biju Patnaik University of Technology, Odisha

[View the original profile](https://tal.club/meet/sudhir-kenguva)

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