- Leading development of a Cost Optimization tool powered by Agentic AI to analyze GCP spend and recommend savings; driving the Regulatory Reporting workstream for compliance delivery.
- Developed an Agentic AI-powered Cloud Discovery Accelerator using Google Gemini to automate GCP codebase analysis, DAG lineage extraction, dependency resolution and HTML flow visualization.
- Built an Agentic AI-driven RCA Analyzer & Pipeline Debugger with Gemini 2.5 Pro to generate incident reports, confidence-scored diagnosis and recommended fixes — reducing debugging time by 30%.
- Lead and mentor a team of 4 engineers on higher-complexity data migration and platform engineering; conduct interviews from Analyst to Team Lead for the GCP migration program.
Chirag Jain
I'm Chirag – a Data Engineer with 5+ years of experience designing and automating large-scale data platforms on GCP and Azure using Apache Airflow, Python, SQL, Generative AI and Agentic AI. Delivered a Python + GenAI accelerator that cut manual migration effort by 65% across 300+ enterprise applications, and currently building Agentic AI solutions — an RCA Analyzer, Cloud Discovery Accelerator and Cost Optimization tool. Claude Certified Architect – Foundations, Gemini Enterprise Agent Development (Google) and Google Cloud Professional Data Engineer.
About
I'm a data engineer who likes the unglamorous part of the job: making data move reliably from one place to another, then making it move faster and cheaper. Most of my work lives in migration and platform engineering - taking legacy on-prem systems and rebuilding their data flows on Google Cloud.
Lately I've paired classic pipeline work with GenAI and Agentic AI, using models like Gemini, Claude and Copilot to automate discovery, RCA and migration tasks that used to take weeks. I also build the accelerators, schemas and governance features that keep large migration programs honest - metadata, audit trails, approvals and alerting.
Currently I lead and mentor engineers at Accenture, building a Cost Optimization tool powered by Agentic AI, driving Regulatory Reporting workstreams, and shipping AI-powered accelerators and enterprise-grade data platforms.
Outside of work, I enjoy sharpening my analytical thinking through strategy and logic games. I'm currently maintaining a 500+ day Chess Puzzle streak, and I enjoy solving Sudoku to continually challenge my pattern recognition and problem-solving skills.
Experience
- Part of a 12-member Discovery Team analyzing 300+ applications for on-prem->GCP migration, focusing on data flows, dependencies and feasibility.
- Built a Python accelerator that automated discovery and migration, cutting manual effort by 65%; integrated GenAI / Agentic AI (Gemini, Claude & Copilot) to lift accuracy by 40% and further reduce effort by ~20%.
- Designed core data-governance features - metadata management, alerting, approvals, audit trail and Archer integration - owning requirements, POCs, coordination and testing.
- Created schemas and workflows for a request-approval and audit-trail system ensuring accurate tracking and data traceability.
- Migrated end-to-end data pipelines from on-prem to GCP using Airflow, improving performance and reducing cost.
- Built Airflow DAGs and Cloud Functions converting raw CSVs into structured PDFs sent to 100+ stores daily.
- Built automated pipelines pushing real-time status notifications to team channels, and cut issue response time with KQL analytical workbooks in Log Analytics Workspace.
- Performed data modeling, bucket creation, code reviews and QA validation to ensure data integrity.
Skills
Programming & Query
Cloud & Orchestration
AI & GenAI
Tools & Software
Selected Work
Agentic AI Cloud Discovery Accelerator
Cost Optimization Tool (Agentic AI)
Currently building an Agentic AI tool that analyzes GCP spend patterns, flags anomalies and recommends optimization actions — paired with a Regulatory Reporting workstream for compliance delivery.
SuKhet.com — Farm-to-Table Marketplace
Built an end-to-end farm-to-table marketplace website using Agentic AI — covering design, development and deployment of the full user journey from browse to checkout.
Discovery & Migration Accelerator
A Python accelerator that automated application discovery and migration for a 300+ app GCP program, cutting manual effort by 65%. Integrated Gemini to raise accuracy by 40%.
Agentic AI Cloud Discovery Accelerator
Developed an Agentic AI-powered Cloud Discovery Accelerator using Google Gemini to automate GCP codebase analysis, DAG lineage extraction, dependency resolution and HTML flow visualization.
Agentic AI RCA Analyzer & Pipeline Debugger
Built an Agentic AI-driven RCA Analyzer & Pipeline Debugger with Gemini 2.5 Pro to generate incident reports, confidence-scored diagnosis and recommended fixes — reducing debugging time by 30%.
CSV-to-PDF Daily Delivery
Airflow DAGs and Cloud Functions converting raw CSVs into structured PDFs delivered to 100+ retail stores every day, with real-time status notifications to team channels.
Smart Billing System for Energy
Led a team of 4 to build a portal-based smart billing platform with alerts, tamper detection and power-cutoff automation. Published in the SKIT Research Journal.
Certifications
Education
Let's Connect
Open to conversations about data engineering, cloud migration and platform work. The fastest way to reach me is email or LinkedIn.