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JRM Data Engineer (2025)
ETL with Python
Data extraction from APIs (130:36)
Web scraping (150:53)
SQL Transformation (128:47)
Python ETL Essentials (128:59)
Data pipeline design patterns (126:08)
Data integration with dlt (108:40)
Production Environment
Git & Github (114:30)
Containerization with Docker (78:47)
Snowflake
Introduction to Snowflake and Data Warehousing Basics (120:21)
Loading Data into Snowflake (116:58)
Unloading Data and File Formats (107:48)
Snowflake SQL Basics (111:48)
Advanced SQL and Data Transformation (117:36)
Query Optimization and Resource Monitoring (109:19)
Automation with Tasks and Streams (104:31)
Final Real-World Project (142:16)
Workflow Orchestration (Airflow)
Airflow theory and Introduction (122:43)
Airflow practical session 1 (129:45)
Airflow practical session 2 (136:58)
Airflow practical session 3 (95:20)
Analytics Engineering
Data Warehousing concepts (136:37)
dbt practical session 1 (121:27)
dbt practical session 2 (115:10)
Orchestrate dbt pipeline (162:42)
Hadoop
HDFS Theory (105:55)
Hadoop Implementation (104:44)
Spark
Spark Dataframes (116:03)
Spark Column Manipulations (100:08)
Filter, Drop, Sort (90:35)
Dataframe aggregations and joining (112:41)
Reading & Writing
SparkSQL (91:15)
Kafka
Kafka Theory (94:39)
AWS
AWS Introduction & IAM (114:09)
Networking (127:05)
Storage (112:15)
Compute & Containers
Database
Serverless & Data Warehouse (112:58)
Data Streaming (103:17)
Analytics
Azure
Azure Data Factory: Introduction, Data Ingestion from Blob Storage, HTTP (134:14)
Azure Data Factory: Azure Data Flows (148:13)
Azure Data Factory: Databricks Activity, Loading to SQL (152:12)
Azure Databricks: Setup, Secrets, Mounts (134:55)
Azure Databricks: Ingestion, Transformation, Workflows (83:40)
Azure Databricks: Spark SQL (123:21)
Azure Databricks: Incremental Load (147:31)
Azure Databricks: Delta Lake (125:51)
Microsoft Fabric
Microsoft Fabric Introduction (109:20)
Data Warehousing & Power BI - Part 1 (131:05)
Data Warehousing & Power BI - Part 2 (105:57)
Data Factory (112:18)
Multi Experience DA/BI Engineering Project (110:04)
Data Engineering (69:20)
Real Time Intelligence (100:12)
Multi Experience Data Engineering Project
AI/ML
Statistics and Probability (113:24)
Predictive Models, Machine Learning Algorithms (Part 1)
Machine Learning Algorithms (Part 2), Recommender Systems
ML in the real world, Deep Learning and Neural Networks (Part 1)
Deep Learning and Neural Networks (Part 2)
Generative AI, The OpenAI API
RAG and LLM Agents
Final Project
Payroll Project
Introduction to Data Engineer Payroll Project (119:14)
Project Preparation (112:04)
Generate Data (114:22)
Combine Data & Deploy Data (123:59)
Data Warehouse Modeling (121:03)
Dashboard & Report (129:23)
SQL - 2024
Introduce SQL Server (145:25)
SQL Query Statements (141:24)
Debug, Join & Sub-query in SQL (128:08)
Case-When, Window Function & SQL practice (123:51)
Pivot Table, UDF and Stored Procedure in SQL (132:55)
Basic Optimization SQL Server (127:07)
Practice SQL Test Platform (135:09)
SQL Graph Basic (122:10)
Python - 2024
Introduce to Python & Basic syntax (102:51)
Read files & Algorithms (131:04)
Basic Data Analysts with Python (113:14)
Intermediate Data Analysis with Python (153:20)
Automate task with Python (122:32)
PySpark & JSON (84:23)
Practice Python Test Platform (114:22)
APIs and Demo Project Data Analysis with Python (120:55)
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Introduce SQL Server
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