Deepesh Agarwal
Technical Lead · L'Oréal
Hyderabad, India
Open for collaborations

Deepesh
Agarwal

"Learning compounds."

I build cloud platforms and data systems — and study the systems that drive markets, decisions, and human growth.

I'm a Technical Lead at L'Oréal, working on cloud platforms, data systems, and modern engineering solutions on Google Cloud Platform. My day-to-day sits at the intersection of data engineering, cloud architecture, and software development.

My journey began in 2018 at Accenture as an Associate Software Engineer. Over the years I've moved through TCS, Wipro, and L'Oréal — learning something valuable at every stage, from Azure pipelines and PySpark to GCP, FastAPI, and React.

What excites me most isn't a specific technology. It's the process of learning, improving, and solving problems. That mindset led me naturally into trading — where markets are one of the most honest feedback systems in the world, constantly challenging assumptions and rewarding discipline.

Both worlds — technology and markets — reward structured thinking, require continuous learning, and remind us that certainty is often an illusion.

8+
Years of experience
4
Companies
GCP
Primary cloud
Learning in progress
Philosophy

Growth is rarely the result of a single breakthrough. More often, it's the result of small improvements compounded consistently over years.

Career Journey

Mar 2026 – Present
Hyderabad, India

Technical Lead

L'Oréal

Current

Leading data engineering on the BTDP platform — building scalable data ingestion, processing, and distribution services on Google Cloud Platform. Working across Python, FastAPI, BigQuery, Cloud Run, React, and Terraform.

GCPBigQueryPythonFastAPIReactTerraformCloud Run
Oct 2024 – Mar 2026
India

Data Engineer

Wipro

Expanded experience in supply chain and planning systems through o9 Solutions. Worked on large-scale data processing pipelines and enterprise integrations.

o9 SolutionsPySparkSQLData Pipelines
Apr 2022 – Oct 2024
India

Data Engineer

TCS

Transitioned into data engineering and cloud technologies, building Azure Data Factory pipelines and large-scale PySpark data processing workloads.

AzureADFPySparkSQLDatabricks
Nov 2018 – Apr 2022
India

Associate Software Engineer

Accenture

Started my engineering journey — built backend applications and learned the foundations of software development with Python, SQL, and web development.

PythonSQLWeb DevelopmentBackend

Tech Stack

☁️

Cloud & Infrastructure

Google Cloud PlatformBigQueryCloud RunCloud StoragePub/SubTerraformCloudflare

Data Engineering

Apache SparkPySparkDatabricksAzure Data FactorydbtDataflowFirestore
🔧

Backend

PythonFastAPISQLPostgreSQLREST APIsSAP HANA
🎨

Frontend

ReactTypeScriptTailwind CSSAstroNext.js
🤖

AI & Emerging

Generative AIAgentic AIVertex AILangChainClaudePrompt Engineering
🛠

Tools & Practices

GitGitHub ActionsCloud BuildDockerMakeLinux
🎓

Google Cloud Professional Cloud Architect

Google Cloud

In Progress
🎓

Generative AI Fundamentals

Google Cloud

In Progress
🎓

Agentic AI Development

Google Cloud

In Progress

What I'm Building

Active · Personal Project

Trademap

Trade Journal & Learning Platform

A personal platform built to bring structure to the learning journey in trading. Trademap combines a trade journal with a knowledge base — documenting strategies, technical analysis, mindset frameworks, and psychology lessons all in one place. The goal: make improvement measurable, not just felt.

📓
Trade Journal
Log, review, and reflect on every trade
📊
Strategy Docs
Demand & Supply setups and playbooks
🧠
Mindset & Psychology
Documented lessons on discipline and bias
📈
Technical Analysis
Chart patterns, confluences, and frameworks
TradingDemand & SupplyPsychologyReactTrading Journal
🚧 In Development
🏗️

Professional Work

Enterprise-scale data platforms at L'Oréal — ingestion services, DQ pipelines, and cloud-native APIs. Internal projects under NDA.

GCPBigQueryFastAPIReact

More projects in the pipeline.

Building in public — soon.

What Drives Me

📈

Trading & Markets

Markets fascinate me because they're one of the most honest feedback systems in the world — constantly challenging assumptions, exposing emotional weaknesses, and rewarding discipline. My approach is rooted in Demand & Supply concepts, with deep interest in trading psychology and risk management.

Demand & SupplyRisk ManagementTrading PsychologyConsistency
🧠

Continuous Learning

Reading, documenting ideas, watching educational content, and experimenting. Writing helps me think more clearly — this site is my digital garden.

📚

Books That Shaped Me

The Alchemist
Paulo Coelho
Ambition & Purpose
The Psychology of Money
Morgan Housel
Wealth & Mindset
The Intelligent Investor
Benjamin Graham
Value & Patience
Tuesdays with Morrie
Mitch Albom
Relationships & Life
🏓

Sports & Games

I love activities that combine skill, strategy, and continuous improvement. Not because I'm exceptionally competitive — but because I enjoy the process of getting better.

Table TennisBadmintonCricketChessFoosballCarrom

Where I'm Headed

My long-term direction isn't just about technology. It's about becoming someone who operates at the intersection of finance, business, and engineering — scaling both vertically as a domain expert and horizontally across functional areas. Less pure-tech, more impact.

📈

Finance & Trading

Going deep into trading, investing, and the finance industry — not just as a practitioner but as someone who understands the mechanics, the psychology, and the systems behind it.

🔗

Supply Chain & Operations

Leveraging hands-on experience with o9 Solutions and enterprise supply chain systems to bridge the gap between data, technology, and real business operations.

🧭

Functional, Not Just Technical

The long-term goal isn't to stay purely technical. It's to grow into a functional leader — someone who can contribute on the business side, understand domain deeply, and drive decisions end-to-end.

🌍

Trademap — Global Scale

What started as a personal trade journal has the potential to become a globally useful platform. The goal is to build and scale Trademap so that any trader, anywhere, can use it to learn, journal, and improve.

"Small improvements made consistently over time often create the biggest results."

— Deepesh Agarwal

Let's build something
meaningful together.

Open for collaborations

Whether it's a data engineering challenge, a cloud architecture question, an AI idea, a trading tools collaboration, or just a good conversation — I'm always happy to connect.

Say hello →