---
title: "Sagarika G N - Data Engineer in Greater Bengaluru Area | Tal"
description: "Meet Sagarika G N, Data Engineer @ Accenture | Building Scalable Data Pipelines & AI Automation | BigQuery · Airflow · Python · SQL based in Greater Bengaluru Area. AI stack includes ChatGPT."
image: "https://tal.club/meet/sagarika-g-n/share-image"
---

# Sagarika G N on Tal

## Headline

Data Engineer @ Accenture \| Building Scalable Data Pipelines & AI Automation \| BigQuery · Airflow · Python · SQL

## About

I'm a Data Engineer with 2\+ years of experience designing and deploying scalable ETL/ELT pipelines, data observability systems, and AI\-driven automation frameworks at Accenture\. My day\-to\-day involves building production\-grade data pipelines using Python, SQL, BigQuery, and Apache Airflow \- optimizing everything from query performance to LLM API costs\. I've reduced manual processing time by 70% through end\-to\-end workflow automation, built data observability layers that improved production data reliability by 20%\+, and cut cloud costs by 40% through strategic optimization\. What I bring to the table: → Strong SQL and Python skills applied to large\-scale data processing → Hands\-on experience with BigQuery, Apache Airflow DAGs, and Medallion architecture → Data quality engineering: validation, auditing, drift detection, anomaly monitoring → Cloud platform experience across GCP, AWS, and Azure \(all three certified\) → Cross\-functional collaboration with data analysts, business stakeholders, and engineering teams I'm particularly interested in roles where I can work on complex data infrastructure challenges \- building reliable, scalable data platforms that teams can actually trust and use\. Currently exploring opportunities in Data Engineering\. Let's connect\.

## Location

Greater Bengaluru Area

## AI stack

ChatGPT

## Work experience

Data Engineer at Accenture, Feb 2024 \- Present · 2 yrs 10 mos, Bengaluru, Karnataka, India, \- Built an AI\-driven automation framework using Python and Azure OpenAI to execute end\-to\-end HR workflows, reducing manual processing time by 70% and enabling zero\-touch operations \- Developed and optimized complex SQL queries in BigQuery for large\-scale dataset processing, ensuring data consistency across systems and supporting enterprise data warehouse reporting \- Engineered a Data Observability layer with custom Python scripts for auditing, error logging, and data drift detection, improving production data reliability by 20%\+ \- Reduced LLM API costs by 40% through strategic prompt engineering, token management optimization, and refined experimentation workflows \- Automated Apache Airflow DAG alerting and monitoring, cutting incident detection and response time by 50% with improved logging pipelines \- Collaborated with Data Analysts and business stakeholders to define metrics, dimensions, and dashboard requirements for self\-serve data consumption \- Identified and resolved SQL and pipeline bottlenecks in BigQuery, improving query performance and resource utilization across mission\-critical workflows

IT Intern at Johnson Controls, Jan 2023 \- Jul 2023 · 7 mos, Bengaluru, Karnataka, India, \- Researched carbon capture technologies and their integration with current infrastructure\. \- Proposed a data\-backed model that lowered carbon footprint and generated new revenue opportunities\. \- Developed a SharePoint site to improve stakeholder collaboration and reporting workflow

## Education

Bachelor of Engineering \- BE, Computer Science, Sri Venkateshwara College of Engineering, BANGALORE

[View the original profile](https://tal.club/meet/sagarika-g-n)

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