---
title: "Priyadarshani Sahu - Data Engineer in Bengaluru | Tal"
description: "Meet Priyadarshani Sahu, Data Engineer | PySpark · Azure Databricks · Kafka · Medallion Architecture | Healthcare Analytics | Open to Opportunities based in Bengaluru. AI stack includes antigravity, claude code, and claude."
image: "https://tal.club/meet/priyadarshani-sahu-1/share-image"
---

# Priyadarshani Sahu on Tal

## Headline

Data Engineer \| PySpark · Azure Databricks · Kafka · Medallion Architecture \| Healthcare Analytics \| Open to Opportunities

## About

Data Engineer with 1\.5\+ years of experience building production\-grade ETL/ELT pipelines on PySpark, Azure Databricks, and Apache Kafka\. I design Medallion Architecture pipelines that process 2\.1M\+ pharmaceutical records monthly, and I care most about making data trustworthy enough that analysts and downstream teams never have to second\-guess it\. At NeuLeap\.AI \(deployed at ZS Associates, working on oncology analytics for a top\-10 global pharma client\), I've reduced manual data fixes from 25 per week to 5 and cut ETL runtime by 50% through pipeline redesign and validation frameworks built directly into the data layer\. Previously at Knowledge Lens \(a Rockwell Automation company\), I built a PySpark ETL system handling 200GB\+ of monthly data and a real\-time Kafka consumer enabling same\-day analytics — work that taught me good data engineering is fundamentally about removing friction for the people who depend on the data\. Core stack: Python · PySpark · Apache Kafka · Azure Databricks · Delta Lake · Apache Airflow · PostgreSQL · MongoDB · Docker · Kubernetes · FastAPI · SQL Currently exploring opportunities in Data Engineering roles across Bengaluru, Hyderabad, and remote\-India positions\.

## Location

Bengaluru

## AI stack

antigravity

claude code

claude

cursor

langfuse

langgraph

## Work experience

Data Engineer at NeuLeap\.AI, Nov 2025 \- Present · 11 mos, Pune District

Data Engineer at Rockwell Automation, Feb 2025 \- Aug 2025 · 7 mos, Bengaluru, Architected the Factory Data Mosaix Model using Azure Data Factory, Azure Databricks, Apache Kafka, FastAPI, and PySpark, enabling real\-time data ingestion, transformation, and low\-latency analytics for industrial clients—resulting in a 60% reduction in data processing latency\. Improved platform scalability and reliability by deploying containerized FastAPI microservices with Docker and orchestrating them via Kubernetes, while streamlining CI/CD using Git\. This reduced deployment failures by 15% and accelerated release cycles by 20%\.

## Education

Bachelor of computer science and engineering, Computer Science, NIST University

[View the original profile](https://tal.club/meet/priyadarshani-sahu-1)

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