---
title: "Shantanu Sharma - Data Engineer in Mumbai Metropolitan Region | Tal"
description: "Meet Shantanu Sharma, Data Engineer | Python • SQL • AWS | Driving AI & Analytics based in Mumbai Metropolitan Region. AI stack includes gemini, langchain, and ollama."
image: "https://tal.club/meet/shantanu-5/share-image"
---

# Shantanu Sharma on Tal

## Headline

Data Engineer \| Python • SQL • AWS \| Driving AI & Analytics

## About

Data Engineer with 1\+ year of hands\-on experience designing and deploying production\-grade data pipelines on cloud\-native environments\. At Quantiphi, I've worked across the full data lifecycle — from ingestion and transformation to orchestration and delivery — serving real business use cases on platforms including GCP \(BigQuery, Cloud Storage\), Snowflake, and Apache Airflow\. My core stack spans Python, SQL, dbt, Terraform, and CI/CD pipelines, with certifications in GCP Associate Cloud Engineer and SnowPro Core backing my practical expertise\. I've built and maintained scalable ETL workflows, managed infrastructure\-as\-code, and collaborated with cross\-functional teams to translate business requirements into reliable, analytics\-ready data products\. Beyond the day\-to\-day, I've independently built SentinelFlow — an AI\-powered pipeline observability platform using Kafka, DuckDB, FastAPI, and Streamlit — reflecting my drive to stay ahead of the curve in data engineering tooling and architecture\. Currently, I am exploring Data Engineer roles in consulting and IT environments where I can contribute to high\-impact data infrastructure, work across diverse client problems, and continue growing at the intersection of cloud, pipelines, and analytics\. Core Stack: Python · SQL · GCP · BigQuery · Snowflake · Apache Airflow · dbt · Terraform · Kafka · FastAPI · CI/CD · Power BI Certifications: GCP Associate Cloud Engineer · SnowPro Core

## Location

Mumbai Metropolitan Region

## AI stack

gemini

langchain

ollama

openai

## Work experience

Data Engineer at Quantiphi, May 2024 \- Apr 2025 · 1 yr, Hybrid, Engineered and maintained 25\+ production\-grade Apache Airflow DAGs processing 10M\+ daily records, enabling reliable, scheduled data delivery across client\-facing analytics pipelines on GCP\. Designed and optimized multi\-TB data warehouse solutions on BigQuery and Snowflake, improving downstream query performance by \~35% through strategic partitioning, clustering, and schema redesign\. Provisioned and managed cloud infrastructure on GCP using Terraform \(IaC\), standardizing environment setup across dev, staging, and production — reducing manual deployment effort by \~50%\. Built and maintained CI/CD pipelines for data engineering workflows, enabling automated testing and deployment of pipeline changes — cutting release cycle time and minimizing production incidents\. Collaborated with cross\-functional client and internal stakeholder teams to translate business requirements into scalable data models and pipeline architectures, ensuring delivery within agreed SLAs\. Held GCP Associate Cloud Engineer and SnowPro Core certifications, applying dual\-cloud expertise to architect cost\-efficient, production\-ready solutions across BigQuery and Snowflake ecosystems\.

Data Engineer at Quantiphi, Jul 2023 \- May 2024 · 11 mos, Remote, Assisted in building and testing Airflow\-based ingestion pipelines on GCP, gaining hands\-on exposure to production data engineering workflows and cloud\-native tooling\. Supported data migration and transformation tasks on BigQuery and Snowflake, contributing to multi\-TB migration efforts and developing foundational expertise in cloud data warehousing\.

## Education

Master of Science \- MS, Information Technology, Somaiya Vidyavihar University

Bachelor of Science \- BS, Information Technology, Somaiya Vidyavihar University

[View the original profile](https://tal.club/meet/shantanu-5)

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