Amit Singh   Founder & Creator of Data Engineering Copilot
Founder & Creator

Amit Singh

Founder, Data Engineering Copilot

Enterprise Data Engineering Leader · Enterprise AI Architect · Technical Author · Hackathon Judge · Speaker

Amit Singh is a Data Engineering leader with 15+ years of experience building enterprise data platforms across insurance, retail, financial services, and analytics organizations. He is the Founder of Data Engineering Copilot, a personal product focused on metadata-driven engineering and governed delivery workflows.

Founder, Data Engineering CopilotEnterprise Data Engineering LeaderEnterprise AI ArchitectTechnical AuthorHackathon JudgeSpeakerBuilder of AI-Powered Metadata Intelligence

About Data Engineering Copilot

Data Engineering Copilot, also referred to as DE Copilot, is a metadata-driven engineering platform focused on transforming structured metadata into governed, reviewable engineering deliverables.

DE Copilot helps teams generate and manage engineering artifacts such as target DDL, transformation SQL, data dictionaries, technical specifications, data quality recommendations, reconciliation checks, and documentation through a governed metadata workflow built around a Canonical Metadata Model.

The platform is designed for enterprise data engineering teams that want to move faster without sacrificing governance, traceability, or human accountability. Instead of manually translating mapping documents into code and supporting materials, DE Copilot helps teams create reviewable engineering artifacts from structured metadata while keeping engineers in control of every output.

Background

With over 15 years of experience in Data Engineering, Data Platforms, Cloud Modernization, Data Governance, and Enterprise Analytics, Amit has led large-scale data transformation initiatives across Insurance, Retail, Financial Services, and E-Commerce organizations.

That experience repeatedly translating the same business metadata into different technical formats across different platforms is what led to DE Copilot. The problem was not a lack of engineering talent. It was the absence of a structured, reusable metadata layer that could drive artifact generation across any platform.

DE Copilot is the answer to that problem: a platform that treats metadata as the product, and generates everything else from it.

Why I Built DE Copilot

For more than 15 years, I have worked across enterprise data engineering programs where the same business metadata had to be repeatedly translated into SQL, technical specifications, data dictionaries, data quality rules, reconciliation checks, and delivery artifacts.

While organizations invest heavily in data platforms, much of the delivery process remains manual, document-driven, and dependent on individual interpretation.

DE Copilot was created to address that challenge by treating metadata as the source of truth and supporting a governed workflow that includes validation, artifact generation, human review, assumptions tracking, approval, and auditability.

The goal is not to replace engineers. The goal is to help engineering teams spend less time translating requirements and more time solving business problems.

Beyond Generation: A Governed Project Memory Layer

DE Copilot is evolving beyond artifact generation into a governed project memory and delivery workspace.

Its long-term direction includes project memory, human-approved learning, an assumptions and decisions register, reusable engineering skills, structured handoff notes, delivery-readiness tracking, review queues, evidence and traceability, and a post-delivery Knowledge Copilot.

The goal is to preserve engineering context across the full lifecycle: from structured metadata and generated artifacts to review decisions, approved patterns, handoff information, support questions, and delivery history.

Project Memory
Human-Approved Learning
Assumptions & Decisions
Review Queue
Delivery Readiness
Audit & Traceability
Structured Handoff
Knowledge Copilot

Areas of Expertise

Data Engineering15+ years
Data Platforms & Architecture15+ years
Cloud Modernization10+ years
Data Governance10+ years
Enterprise Analytics12+ years
Snowflake ArchitectureExpert
Databricks EngineeringExpert
AI-Assisted EngineeringActive

Industry Experience

InsuranceRetailFinancial ServicesE-Commerce

Community & Technical Leadership

Amit actively contributes to the data engineering and technology community through technical writing, mentoring, judging, and knowledge sharing.

Technical Writing

Publishing articles on Data Engineering, Snowflake, Databricks, Metadata Architecture, and AI-Assisted Engineering.

Hackathon Judge & Technical Reviewer

Participating as a judge and reviewer for data engineering and technology hackathons.

Technical Speaker

Scheduled to speak at community technology events on metadata-driven and AI-assisted data engineering.

Community Contributor

Sharing practical approaches for enterprise data platform modernization and metadata-driven engineering.

Community Contributions

Active participation as a technical judge, speaker, and author across the AI and data engineering community.

Technical Judge

MLH / DEVLabLab.aiSANS Institute / Devpost

6+ completed and upcoming judging engagements across AI, software engineering, and cybersecurity competitions. Evaluated 100+ projects across MLH, LabLab.ai, and SANS Institute challenges.

Conference Speaking

PyBay 2026 - CFP SubmittedDevFest KC - CFP SubmittedAI Dev World - CFP Submitted

Active CFP submissions for 2026 conferences. Available for meetups, conferences, corporate events, podcasts, guest lectures, and webinars.

Technical Writing

10+ Published ArticlesDEV.toLinkedInDE Copilot Blog

Publications & Technical Writing

Technical content is regularly published across multiple platforms.

Topics Covered

Metadata-Driven EngineeringSnowflake ArchitectureDatabricks EngineeringData QualityData GovernanceAI for Data EngineeringModern Data PlatformsEnterprise Data ModernizationCanonical Metadata ModelSTTM Automation

Career Journey

15+ years of enterprise data engineering experience across global organizations, culminating in the founding of DE Copilot.

L&T Infotech

Data Engineer

Early Career

Foundation in enterprise data engineering, ETL development, and data warehouse design across large-scale programs.

IBM

Data Engineer / Consultant

Mid Career

Enterprise data platform delivery, data integration, and analytics consulting across insurance and financial services clients.

Cognizant

Senior Data Engineer

Mid Career

Led data engineering workstreams for large enterprise clients, specializing in data governance, data quality, and platform modernization.

Walmart

Lead Data Engineer

Senior Career

Designed and delivered enterprise-scale data platforms for retail analytics, Customer 360, and supply chain intelligence.

EXL

Lead Data Engineer

Senior Career

Led metadata-driven data engineering programs across insurance and financial services, driving platform modernization and governed delivery.

Data Engineering Copilot

Founder & Creator

2024 - Present

Founded DE Copilot, a metadata-driven AI platform that transforms business requirements and legacy ETL metadata into governed, reviewable engineering deliverables.

Media Kit & Speaker Resources

Resources for event organizers, podcast hosts, journalists, and conference program committees. Everything you need to introduce, promote, or feature Amit Singh.

Short Bio

For event programs & introductions

Amit Singh is the Founder of Data Engineering Copilot and a Lead Data Engineer with over 15 years of experience building enterprise data platforms across insurance, retail, and financial services. He specializes in metadata-driven engineering, Snowflake, enterprise AI, and AI-assisted software delivery. He is an active technical writer, conference speaker, and AI hackathon judge.

Speaker Bio

For conference websites & programs

Amit Singh is a Lead Data Engineer and the Founder of Data Engineering Copilot, an AI-powered metadata intelligence platform designed to accelerate governed data delivery for enterprise engineering teams. With over 15 years of experience, he has designed and delivered large-scale data platforms across insurance, retail, and financial services organizations - including work at Walmart, EXL, Cognizant, IBM, and L&T Infotech.

Amit's work centers on a core belief: the most valuable asset in any data migration or modernization program is not the technology - it is the metadata. His platform, DE Copilot, operationalizes this belief by normalizing business requirements and source-to-target mapping metadata into a Canonical Metadata Model, then using AI to generate reviewable engineering artifacts including SQL, DDL, data dictionaries, lineage documentation, and test cases - all with human-in-the-loop governance at every step.

Beyond building DE Copilot, Amit is an active contributor to the data engineering and AI community. He has served as a technical judge at AI hackathons hosted by MLH, DEV, LabLab.ai, and SANS Institute, evaluating submissions across AI, software engineering, and cybersecurity. He has submitted conference talk proposals to PyBay 2026, DevFest KC, and AI Dev World, and publishes technical articles on metadata engineering, Snowflake architecture, and enterprise AI on the DE Copilot blog and DEV.to.

His sessions are practical and experience-driven - built for data engineers, architects, and technical leaders who want to move beyond theory and apply real patterns to real enterprise delivery challenges.

Professional Highlights

15+ Years

Enterprise Data Engineering

Enterprise AI

Agentic Workflows

Metadata-Driven

Engineering

Snowflake

Modern Data Platforms

Speaker

CFP Submissions 2026

10+ Articles

Technical Author

7+ Judging

AI Hackathons

Fortune 500

Delivery Experience

Available Speaking Topics

Metadata-Driven Data Engineering

Design enterprise data platforms using metadata to automate engineering deliverables - SQL, DDL, documentation, and test cases - while improving governance, consistency, and delivery speed.

Data Engineers · Architects30–60 minConference · Webinar

Enterprise AI for Data Engineering

How AI can accelerate engineering workflows - from metadata extraction and artifact generation to human-in-the-loop review gates - while keeping engineers in control of every deliverable.

Technical Leaders · Architects30–45 minConference · Meetup

Snowflake at Enterprise Scale

Real-world lessons from designing scalable Snowflake solutions: data modeling, Cortex Analyst, semantic layers, performance optimization, and modern cloud data architecture.

Data Engineers · Architects45–60 minConference · Webinar

Agentic AI for Enterprise Engineering

Moving beyond chatbots to autonomous AI agents that support enterprise engineering and business workflows - architecture, governance, and production readiness.

Engineering Leaders · Architects45 minConference · Webinar

Building DE Copilot: From Idea to Platform

The journey of building an AI-powered metadata intelligence platform - technical decisions, governance design, human review workflows, and lessons learned from solo founder to production.

All Technical Audiences30–45 minConference · Meetup · Podcast

Request Media Kit

Looking for a conference speaker, podcast guest, webinar presenter, or technical interview? Contact Amit Singh for speaking engagements, industry events, technical articles, podcasts, and enterprise AI discussions.

See DE Copilot in Action

Upload a structured mapping using fictional or approved sandbox metadata and generate reviewable engineering artifacts such as DDL, SQL, data dictionaries, and technical specifications.

Illustrative examples use fictional metadata only. No client, employer, or production data is displayed.

Personal product focused on metadata-driven data engineering. All examples, datasets, mappings, and screenshots are synthetic and provided for demonstration purposes only. No employer, client, production, or proprietary information is used.