10/02/2026
π LAUNCH YOUR CAREER: From Zero to Data Engineer in 12 Weeks! π
Are you ready to master the backbone of the A.I. revolution? At CL Magno I.T. Solutions, we don't just teach you to code; we teach you to build the pipelines that power modern business.
We are launching our comprehensive Data Engineering Bootcamp. This isn't just theoryβit's hands-on, project-based training designed to get you job-ready.
π FULL COURSE SYLLABUS & SCHEDULE π
Total Duration: 12 Weeks (Part-Time / Weekend Friendly) Total Instruction: ~100 Hours of Live Training + Lab Work
PHASE 1: The Foundation (Weeks 1-4)
Build a rock-solid base in the two most critical languages for data: Python & SQL.
ποΈ Week 1: Python for Data Engineering (Part 1)
Time: 8 Hours
Topics: Python Environment Setup (Anaconda/VS Code), Variables, Data Types, Control Flow (If/Else, Loops), Functions.
Output: Build a simple calculator and data entry script.
ποΈ Week 2: Python for Data Engineering (Part 2)
Time: 8 Hours
Topics: Data Structures (Lists, Dictionaries, Sets), Error Handling, Reading/Writing Files (CSV, JSON), Intro to APIs (Requests lib).
Output: Script that pulls weather data from an API and saves it to a file.
ποΈ Week 3: SQL Mastery (PostgreSQL)
Time: 8 Hours
Topics: Relational DB Concepts, SELECT, FROM, WHERE, Aggregations (GROUP BY), JOINS (Inner, Left, Right), CREATE/INSERT/UPDATE.
Output: Design a database for a retail store and query sales performance.
ποΈ Week 4: Advanced SQL & Data Modeling
Time: 8 Hours
Topics: Window Functions, CTEs (Common Table Expressions), Stored Procedures, Dimensional Modeling (Star vs. Snowflake Schema).
Output: Optimize a slow query and build a reporting schema.
PHASE 2: Data Processing & Warehousing (Weeks 5-8)
Learn how to move, clean, and store data at scale.
ποΈ Week 5: Data Manipulation with Pandas
Time: 8 Hours
Topics: DataFrames, Data Cleaning (handling nulls/duplicates), Merging/Concatenating datasets, Exploratory Data Analysis.
Output: Clean a "messy" raw dataset and prepare it for analysis.
ποΈ Week 6: ETL Pipelines (Extract, Transform, Load)
Time: 8 Hours
Topics: Building robust ETL scripts in Python, Connecting Python to SQL, Logging, Error Handling in pipelines.
Output: Build a pipeline that reads from an API, cleans data with Pandas, and loads it into a PostgreSQL database.
ποΈ Week 7: Introduction to Cloud (AWS/Google Cloud)
Time: 8 Hours
Topics: Cloud Storage (S3/GCS), IAM (Permissions), Compute (EC2), Introduction to Serverless (Lambda/Cloud Functions).
Output: Deploy your Week 6 ETL script to the cloud.
ποΈ Week 8: Cloud Data Warehousing
Time: 8 Hours
Topics: OLTP vs OLAP, Loading data into BigQuery or Snowflake, Partitioning and Clustering for performance.
Output: Build a cloud dashboard connected to your Data Warehouse.
PHASE 3: Orchestration & Big Data (Weeks 9-12)
Automate your workflows and handle massive datasets.
ποΈ Week 9: Orchestration with Apache Airflow
Time: 10 Hours
Topics: DAGs (Directed Acyclic Graphs), Tasks, Operators, Scheduling, Monitoring Pipelines.
Output: Automate a daily data ingestion workflow using Airflow.
ποΈ Week 10: Big Data Processing with Apache Spark
Time: 10 Hours
Topics: Distributed Computing basics, PySpark syntax, RDDs vs DataFrames, Transformations & Actions.
Output: Process a large dataset (1GB+) that crashes Excel/Pandas using Spark.
ποΈ Week 11: Containerization (Docker)
Time: 6 Hours
Topics: Docker basics, Creating Dockerfiles, Containerizing your ETL scripts for reproducibility.
Output: Package your Python ETL script into a Docker container.
ποΈ Week 12: CAPSTONE PROJECT
Time: 10 Hours
Topics: End-to-End implementation. Architecture design, CI/CD basics, Final Review.
Output: The Portfolio Piece. Build a full pipeline: API -> S3 -> Spark Processing -> Data Warehouse -> Dashboard, fully orchestrated and automated.
π Why Learn with CL Magno I.T. Solutions? β
Live Training: Real-time feedback and debugging. β
Portfolio Ready: You finish with code you can show employers. β
Career Focus: We teach what the industry actually uses.
π© LIMITED SLOTS AVAILABLE! Send us a message to reserve your spot or comment "ROADMAP" below for the full brochure!