Hello, I'm

Antoine Gélin

Data Engineer with 5 years of experience — ingestion pipelines, data warehouses, BI layers. Java/Spark background on high-volume systems, now focused on the Modern Data Stack (dbt, Redshift, AWS).

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/ Expertise

The domains I operate in

Data Pipelines

Design and production deployment of ingestion and transformation pipelines. Modern ELT approach with built-in orchestration, testing, and monitoring.

Python Spark dbt SQL

Data Warehouse Architecture

Modeling and structuring analytics-optimized data warehouses: star schemas, staging/mart layers, naming conventions.

Redshift BigQuery dbt PostgreSQL

Cloud Infrastructure

Deployment and management of data infrastructure on AWS and GCP: storage, compute, orchestration — all versioned and reproducible.

AWS GCP Terraform Docker CI/CD

BI & Visualization

Self-service BI layers: business dashboards, automated KPIs, autonomous data access for non-technical teams.

QuickSight SQL dbt metrics

Data Quality & Observability

Data tests, alerts, and monitoring integrated into pipelines to ensure reliability and catch anomalies before they impact downstream use.

dbt tests Alerting Data contracts

Enablement & Documentation

Knowledge transfer, technical documentation, and training for business or engineering teams to build autonomy on data tooling.

Documentation Training Handover

/ Featured Projects

A selection of professional work, published apps, and experimental prototypes.

Personal project

Velib Data Platform

Serverless ELT platform on Google Cloud for Vélib' Métropole bike-sharing data: high-frequency ingestion (~200M observations/year), BigQuery columnar storage, dbt analytical transformations, Terraform-managed infrastructure.

Python dbt BigQuery Terraform Cloud Run Docker

Mission

Modern Data Stack — Fintech

Business teams autonomous on their data, faster time-to-insight, and a platform the next team can pick up without handholding.

Python dbt Redshift S3 QuickSight Fargate

Mission

Critical Pipelines — Banking

Stable processing on high volumes, fewer production incidents, and engineering practices that hold up over time.

Java Spark Hive SQL Server Jenkins

/ Tech Stack

Breakdown of my technical skills, categorized by domain and proficiency

Expert

Proficient

Beginner

Data Engineering

dbt

Apache Spark

Hadoop/Hive

Databases

BigQuery

Redshift

PostgreSQL

SQL Server

Cloud & DevOps

AWS

GCP

GCS

Docker

Terraform

Git

Linux

Jenkins

Languages

Python

Java

SQL

Bash

/ Contact Me

Feel free to reach out. I'm always open to discussing new projects and opportunities.