Open to 12-month apprenticeship positions Based in France | Available for Data Science, Data Engineering & AI Automation roles

Pradeep Joel | Python, SQL, LLM Tools & AI Automation

Data Engineering for AI Student

Building scalable data pipelines, LLM-powered analytics tools, and AI agents for automated analysis of complex data.

Data Engineering for AI student with 2 years of data analytics experience and current data engineering internship experience, focused on Python, SQL, ETL pipelines, RAG, automation, and scalable insight generation.

Data Engineering Data Science RAG AI Agents Scalable Analytics
01. About

Building data systems for reliable insight

Data Engineering for AI student based in France with 2 years of experience as a Data Analyst and current experience as a Data Engineering Intern at an AI forecasting startup.

I build data pipelines, automate reporting workflows, structure datasets, validate data quality, and develop AI-assisted tools that turn complex raw data into reliable insights.

I am especially interested in LLM-based tooling, RAG, AI agents, scalable analytics, and intelligent automation.

Location France
Program Master in Data Engineering for AI
Experience 2 years analytics + current data engineering internship
02. Target Apprenticeship

Data engineering, analytics, and AI automation

I am currently looking for a 12-month apprenticeship where I can work at the intersection of data engineering, analytics, and AI. I am especially interested in building Python-based tools, scalable data workflows, RAG systems, AI agents, and web-based interfaces that help teams analyze complex datasets and generate reliable insights.

Python tooling ETL and data quality RAG and embeddings Prompt engineering AI agents Web-based Interface Git and Linux PySpark Basics
03. Skills

Technical strengths

Programming & Data

Python SQL Pandas NumPy Jupyter Notebook

Data Engineering

ETL Pipelines Data Pipelines Data Transformation Data Integration Data Modeling Data Quality Data Validation Data Consistency Data Documentation

AI & LLM

Prompt Engineering Embeddings RAG AI Agents Context Building LLM-based Tooling Intelligent Automation

Databases & Tools

PostgreSQL SQLite DuckDB Git Linux Streamlit Power BI

Large-scale / Cloud

PySpark Basics AWS S3 Airflow Basics API Data Ingestion

Web & Product

HTML CSS JavaScript Streamlit Web Interfaces UI for Data Tools User-facing Analytics Tools

Soft Skills

Problem Solving Technical Documentation Cross-functional Collaboration English Communication Stakeholder Presentation
04. Projects

Projects

Data pipeline

Real-Time Data Pipeline Project

Scalable data pipeline project for API ingestion, transformation, validation, and storage.

  • Automated data ingestion and transformation workflows.
  • Added validation and monitoring steps for pipeline reliability.
  • Stored structured data for analytics and reporting.
  • Demonstrates practical data engineering and pipeline automation skills.
Python PostgreSQL Airflow AWS S3 APIs
Large dataset processing

Instacart Data Engineering Project

Data engineering project processing more than 3 million records using a bronze-silver-gold architecture.

  • Processed more than 3 million records.
  • Designed bronze, silver, and gold data layers.
  • Built analytics-ready datasets and reporting workflows.
  • Demonstrates experience with structured data processing and analytics preparation.
Python SQL ETL Data Modeling Analytics
05. Experience

Career journey

May 2026 - Present Current

Data Engineering Intern

Praedixa AI Forecasting Startup | France

  • Developed ETL pipelines and structured datasets using Python and APIs for analytics workflows.
  • Implemented data quality validation and consistency checks for operational datasets.
  • Supported data modeling, documentation, and organization of forecasting workflows.
  • Built dashboards and reporting systems for operational insights.
  • Worked on data engineering foundations for AI-based demand forecasting.
2023 - 2025

Data Analyst

Comcast NBCUniversal Sky Sports

  • Developed automated data pipelines that reduced manual reporting effort by 40%.
  • Analyzed and structured large datasets using SQL and Python for KPI reporting.
  • Improved data quality, reporting reliability, and consistency across operational systems.
  • Built dashboards and analytical reports for monitoring workflows and business performance.
  • Collaborated with international cross-functional stakeholders.
2022 - 2023

Junior Data Analyst

Lemniscate Entertainments

  • Developed ETL workflows and automated data transformation processes.
  • Processed and validated datasets using Python and SQL.
  • Built dashboards, reports, and analytical workflows.
  • Maintained structured reporting systems and data pipelines.
06. Education

Academic background

2025 - 2027

Master in Data Engineering for Artificial Intelligence

DSTI School of Engineering, France

2023 - 2024

PGDM in Data Science and Engineering

Great Lakes Institute of Management, India

2017 - 2020

Bachelor of Science in Computer Science

Loyola College, India

07. Contact

Let's connect

I am open to 12-month apprenticeship positions in Data Science, Data Engineering, AI Automation, and LLM-based analytics.