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.
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.
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.
Technical strengths
Data Engineering
AI & LLM
Databases & Tools
Large-scale / Cloud
Web & Product
Soft Skills
Projects
Release Readiness AI Agent
AI-driven workflow automation project that tracks release readiness, identifies blockers, generates follow-ups, and creates structured reports for stakeholders.
- Built a CLI and Streamlit dashboard for operational workflow management.
- Generated structured reports, follow-ups, and audit logs.
- Designed the project to demonstrate AI-assisted automation and stakeholder tracking.
- Shows experience with intelligent automation, structured workflows, and stakeholder-facing reporting.
France Internship & Alternance Finder
Web-based platform designed to help students in France discover internship and apprenticeship opportunities by organizing job information, highlighting relevant skills, and improving the job-search workflow.
- Built a student-focused web interface for browsing internship and alternance opportunities in France.
- Structured job-related information such as role title, company, location, skills, and application links.
- Designed the project to support faster filtering and better matching between student profiles and role requirements.
- Improved the UI to make the platform more presentable for apprenticeship interviews.
- Demonstrates experience building web-based interfaces for end users.
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.
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.
Career journey
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.
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.
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.
Academic background
Master in Data Engineering for Artificial Intelligence
DSTI School of Engineering, France
PGDM in Data Science and Engineering
Great Lakes Institute of Management, India
Bachelor of Science in Computer Science
Loyola College, India
Let's connect
I am open to 12-month apprenticeship positions in Data Science, Data Engineering, AI Automation, and LLM-based analytics.