Suraj Nag is a Data Engineer at TouchNote in London with 5+ years of experience specialising in Airflow, dbt, Amazon Redshift, BigQuery, and Python.

What is Suraj Nag's tech stack?

Suraj Nag's core tech stack includes Apache Airflow, dbt, Amazon Redshift, Google BigQuery, Snowflake, PostgreSQL, Python, SQL, Looker, Airbyte, Hevo, Docker, Databricks, and Spark.

Where does Suraj Nag write about data engineering?

Suraj Nag publishes articles on Medium at medium.com/@suraj11nag covering data engineering, machine learning, career topics, and the craft of working with data.

Where does Suraj Nag work?

Suraj Nag is currently a Data Engineer at TouchNote in London, UK, where he manages Airflow DAGs, builds dbt models, and maintains Redshift-based data marts using Airbyte and Hevo for ingestion.

Suraj Nag - Data Engineer | Airflow, dbt, Redshift, Python

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I'm a data engineer building pipelines, warehouses, and analytics infrastructure. Currently at TouchNote in the UK, working across Airflow, dbt, Redshift, and Looker.

Before that, I worked as a data engineer at Open Financial Technologies and as a data analyst at Mojocare and Eloelo. I'm interested in the full journey of data — ingestion, modeling, governance, and the downstream decisions it enables.

I also write about data engineering, machine learning, and the craft of working with data.

suraj11nag@gmail.com LinkedIn GitHub

Tech Stack

Orchestration & ELT

Airflow, Airbyte, Hevo, dbt, Docker, CI/CD

Warehouses & DBs

Redshift, BigQuery, Snowflake, PostgreSQL, MongoDB

Cloud & Compute

AWS (S3, Lambda, EC2), Databricks, Spark

BI & Visualisation

Looker, Metabase, Tableau, Power BI, Google Data Studio

Programming & ML

Python, SQL, TensorFlow, Scikit-Learn, Pandas, NumPy

Product Analytics

GA4, Amplitude, Mixpanel, Clevertap

The Data Engineering Lifecycle

December 21, 2024

Taking raw, unpolished data and transforming it into something useful — a tour through the full lifecycle.

Data Engineering
The Fundamentals: What Is Data Modeling?

September 9, 2024

Six months into a UK-based startup, reflections on data modeling from first principles.

Data EngineeringData Modeling
Step-by-Step Guide to Building a Data Pipeline with AWS

September 1, 2024

A practical walkthrough of building a production data pipeline using Python and AWS services.

Data EngineeringAWSPython
6 Months of Doing — Data Engineering

August 30, 2024

An honest retrospective on joining a startup and learning data engineering by doing.

Data EngineeringCareer
Fundamentals of Data Engineering

May 31, 2024

Data engineering as an integral part of human civilisation — from ancient Romans to modern pipelines.

Data EngineeringFundamentals
What is Metadata?

December 29, 2023

Starting with a simple question — what should I order for lunch? — to explain what metadata really means.

Data EngineeringMetadata
12 Months of Learning — Machine Learning

July 2, 2023

A candid update on 12 months of self-studying ML — what worked, what didn't, and what's next.

Machine LearningLearning Path
Why Data Scientists are Graph-ically Obsessed

February 26, 2023

On the central role of visualisation in data science practice.

Data ScienceVisualisation
5 Tips for Landing a Data Science Job

January 30, 2023

Practical advice for breaking into data science.

Data ScienceCareer
Why You Need Maths for Machine Learning

December 26, 2022

A guided tour through the mathematical topics that actually matter for ML — in the right order.

Machine LearningMathematics
What Should Be Your First Machine Learning Model?

November 28, 2022

Guidance for beginners on where to start and why the choice matters.

Machine LearningBeginners
8 Ways Machine Learning Changed My Life

October 9, 2022

Explained with data science.

Machine LearningPersonal Growth

Forex Data Pipeline

2024

End-to-end Airflow pipeline to ingest forex rates, transform and load into a warehouse for financial analytics.

PythonAirflowPostgreSQL
AI Chatbot with LangChain

2023

Domain-specific chatbot using LLMs and LangChain with external data sources and retrieval-augmented generation.

PythonLangChainLLMs
Deep Learning Image Classifier

2023

Multi-class image classifier using TensorFlow 2.0 and TensorFlow Hub for dog breed identification.

TensorFlowPythonDeep Learning
Heart Disease Prediction

2023

ML models for predicting heart disease from medical attributes using Python and scikit-learn.

Scikit-LearnPythonML
Data Visualization Suite

2023

Kaggle datasets processed with SQL for EDA, then visualized with interactive Tableau dashboards.

SQLTableauEDA
ML Web Applications

2022

Several ML-powered Streamlit apps: Spam Detector, Book Recommender, and NLP Business Assistant.

PythonStreamlitNLP

Data Engineer

TouchNote · London, UK

February 2024 — Present

Managed data pipelines using Airbyte and Hevo to migrate and sync data from PostgreSQL RDS to Amazon Redshift
Developed and maintained 20+ Airflow DAGs to orchestrate data workflows
Implemented dbt from scratch to build key data marts and automate testing
Built and optimized LookML code for data models and dashboards

Data Engineer

Open Financial Technologies

December 2022 — February 2024

Automated reports and alerts using Looker & Metabase
Optimized SQL queries, reducing runtime by 90%
Migrated large-scale datasets to BigQuery
Developed Python scripts for data transformation and automation

Data Analyst

Mojocare

September 2021 — December 2022

Automated daily reports and data extraction tasks
Designed event architecture for Mixpanel, Clevertap, and GA4
Implemented data pipelines using Hevo
Automated data reconciliation, increasing efficiency by 90%

Data Analyst

Eloelo

December 2020 — September 2021

Developed KPIs for mobile application with 500K+ users
Built data and reporting infrastructure from scratch
Utilized Google Analytics and Facebook Analytics for funnel analysis