Devang Talaviya

About Devang Talaviya

Hi, I’m Devang — a Data Engineer passionate about building data platforms, solving complex problems, and turning raw data into meaningful insights.Over the past 5+ years, I’ve been working at the intersection of data engineering, analytics, and emerging AI technologies, building scalable systems that help businesses make smarter decisions.I focus on designing reliable data pipelines, modern data architectures, and intelligent solutions using cloud and big data technologies.Along the way- Built and optimized end-to-end ETL pipelines using Azure Data Factory and Databricks- Processed large-scale enterprise datasets (20+ GB/day) using PySpark and distributed systems- Designed Data Lakes and Delta Lake architectures for analytics and data science use cases- Reduced compute and storage costs by up to 30–40% through platform optimization- Migrated enterprise systems from on-premise infrastructure to Azure cloud platforms- Built AI-powered solutions and GenAI use cases to enable natural language access to enterprise data- Developed ML model deployment pipelines with automated insights and alerts for business users- Delivered data solutions across finance, banking, manufacturing, and automotive industries- Automated processes that saved hundreds of manual hours annuallyBeyond engineering, I’m deeply interested in AI, data-driven business strategy, and finance & investments. I enjoy exploring how data, technology, and intelligent systems can create real-world impact.I share insights about data engineering, AI, modern data platforms, and building practical data solutions.If you\'re interested in data, AI, or building scalable data systems, let’s connect.

Experience

1. Deputy Manager (Senior Data Engineer)

   PGP Glass Ltd.

   Apr 2024 — Present · Vadodara, IN

   Delivered multiple data-driven use cases in glass manufacturing, reducing production losses and improving productivity by 2%. • Designed and deployed scalable ETL pipelines processing 20+ GB/day, and streamlined workflows using Azure Data Factory, Databricks (Unity Catalog, SQL Editor, Delta Live Tables, Workflows), and Logic Apps to automate data engineering processes. • Optimized Databricks usage and storage, achieving a 30% reduction in compute costs and 40% savings in storage costs. • Deployed ML models with user-friendly UIs and automated email alerts and implemented Databricks Genie Spaces (GenAI solution) to empower business users with real-time, self-service insights. • Automated critical processes, saving 600 man-hours annually and improving operational efficiency across departments.

Education

• Indian Institute of Technology, Kanpur

  Master of Technology - MTech, Mechanical Engineering

  2018 — 2020

• The Maharaja Sayajirao University of Baroda

  Bachelor of Engineering - BE, Mechanical Engineering

  2014 — 2018