---
title: "Venkata Sai Palepu - Data Engineer in Bengaluru | Tal"
description: "Meet Venkata Sai Palepu, Data Engineer | Databricks | PySpark | Delta Lake | AWS | ETL/ELT | Data Warehousing | SQL | Apache Airflow | Lakeflow Connect based in Bengaluru. AI stack includes antigravity, claude code, and codex."
image: "https://tal.club/meet/venkata-sai-palepu/share-image"
---

# Venkata Sai Palepu on Tal

## Headline

Data Engineer \| Databricks \| PySpark \| Delta Lake \| AWS \| ETL/ELT \| Data Warehousing \| SQL \| Apache Airflow \| Lakeflow Connect

## About

Data Engineer with 2 years building production\-grade ETL/ELT pipelines and Medallion Architecture \(Bronze\-Silver\-Gold\) lakehouses on Databricks, Delta Lake, and AWS \(S3, Glue, Athena, Lambda\)\. Specialized in AI\-powered data engineering: LLM\-based document extraction \(ai\_parse\_document, ai\_query\), natural\-language query agents \(Databricks Genie, AWS Bedrock\), and REST API integrations that embed AI directly into business applications and BI dashboards\. AWS Certified Cloud Practitioner with a track record of eliminating manual SQL dependency and cutting manual reporting effort by 60%\+\.

## Location

Bengaluru

## AI stack

antigravity

claude code

codex

deepseek

kiro

## Work experience

Data Engineer at Idexcel, Oct 2024 \- Present · 2 yrs 1 mo, Bengaluru, Karnataka, India, Working on enterprise\-scale data engineering solutions using Databricks, PySpark, Delta Lake, AWS, and Apache Airflow to build scalable, high\-performance data platforms\. Key Responsibilities & Achievements Designed and implemented a Bronze–Silver–Gold Medallion Architecture on Databricks using Delta Lake for enterprise analytics\. Built CDC ingestion pipelines using Databricks Lakeflow Connect with PostgreSQL WAL\-based logical replication for reliable incremental data loading\. Developed scalable ETL/ELT pipelines using PySpark, AWS Glue, Lambda, S3, Athena, and Apache Airflow\. Implemented SCD Type 1 & Type 2 strategies, MERGE\-based upserts, and Delta Lake optimization techniques including Z\-ORDER\. Designed an AI\-powered document extraction solution using Databricks ai\_parse\_document for Accounts Receivable invoice processing\. Built enterprise natural\-language query solutions using Databricks Genie and AWS Bedrock, integrating them into business applications through REST APIs\. Developed Tableau AI Extensions and Apache Superset dashboards for self\-service analytics and business reporting\. Implemented CI/CD pipelines using GitHub Actions and collaborated with cross\-functional teams to deliver production\-ready data solutions\.

Data Analyst Intern at Ai Variant, Aug 2023 \- Jan 2024 · 6 mos, Online, Supported data quality assurance, created SQL queries for data validation, and assisted in building Tableau dashboards for stakeholder reporting\. Key contributions: • Analyzed data flow and identified optimization opportunities in ETL processes • Developed SQL queries for data extraction, transformation, and validation • Created and maintained Tableau dashboards for business intelligence

## Education

Bachelor of Technology \- BTech, Computer Science, NBKR Institute of Science and Technology

Intermediate, MPC, Narayana Junior College \- Gudur

[View the original profile](https://tal.club/meet/venkata-sai-palepu)

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