Modern Data Engineer Program
LLM-Ready Data Engineer
Become the AI-ready data engineer wiring classic DE with vector DB and embedding pipelines.
DataExpert covers classic data engineering but not vector DB, embedding pipelines or AI-ready data lakes. Deep coverage: Snowflake/BigQuery/Databricks, dbt Cloud, Airflow, Kafka/Flink streaming, vector database operations, embedding pipelines and unstructured data ingest (PDF, image, audio).
Quick Facts
Why This Program for Your Company
Talent Development
Grow your in-house teams; reduce vendor and outsourcing dependency
Fast Time-to-Value
Built for a 90-day pilot-to-production trajectory
Measurable ROI
Before/after capability report + KPI dashboard with tangible outcomes
AI Culture
AI adoption across all levels — from executive to engineer
Delivery Models
Choose the delivery format that fits your team
On-site
At your company location, closed group
Hybrid
Online + periodic in-person intensives
Fully Remote
Live remote + recordings + lab notebooks
Train-the-Trainer
Build in-house trainers — long-term scaling
Tailored to Your Company
Content is customized to your industry, regulatory framework, existing tech stack and target use cases. Labs run on your existing systems or sample datasets.
Lab Environment
Hands-on labs run on your company data (under NDA), isolated sandbox or sample dataset
Post-Training Support
30 days async support (Slack/Teams/Discord) + optional monthly follow-up sessions + code review support
Why Now? — Türkiye's Empty Market
No Turkish training for AI-ready DE practice. As RAG/Agent products scale, this profile's value will multiply.
About the Program
Target Teams
- Existing data engineers
- Backend engineers transitioning to DE
- DWH/BI teams
- Platform engineers
Your Team's Outcomes
- Build end-to-end pipelines with modern data stack
- Operate vector databases
- Design and maintain embedding pipelines
- Ingest unstructured data (PDF, image, audio)
- Implement data contracts and data quality frameworks
Prerequisites
- Mid-to-advanced SQL
- Intermediate Python
- Basic cloud
Trainings in this Program
12 modules / micro-trainings
- 01
Modern Data Stack (Snowflake, BigQuery, Databricks)
- 02
dbt Cloud In-Depth
- 03
Apache Airflow
- 04
Fivetran, Airbyte
- 05
Apache Iceberg & Lakehouse
- 06
Streaming (Kafka, Flink, Spark Streaming)
- 07
Vector Database Operations
- 08
Embedding Pipeline Design
- 09
Unstructured Data Ingest (PDF, Image, Audio)
- 10
Data Contracts & Data Quality
- 11
Data Preparation for RAG
- 12
Capstone: AI-Ready Data Platform
Capstone Project
Full AI-ready data platform: ingests from multiple sources (structured + unstructured), transforms via dbt, feeds vector DB and provides endpoints for RAG products.
How We Work
From discovery to delivery and post-training follow-up
- 1
Discovery
Free 30min — team capability map, use case discovery, goal setting
- 2
Design
Custom curriculum, lab scenarios and delivery timeline for your use cases
- 3
Delivery
Live training + hands-on labs + capstone project + completion certificate
- 4
Follow-up
Capability report + 30-day support + optional monthly check-in sessions
Career Path
Positions you can target after this program
Tech Stack & Topics
Frequently Asked Questions
How do enrollment and participant selection work?
How is pricing structured?
Can the curriculum be customized for our use cases?
On-site or remote?
Is post-training support included?
Are certificates provided?
Who is this program for?
What will I learn?
What is the duration and format?
What are the prerequisites?
Which positions does this program prepare me for?
Why is this program needed in Türkiye?
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Bring This Program to Your Team
In a free 30-minute discovery call we map your team's capability, explore your target use cases and prepare a custom quote for your company. No commitment.