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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 (99:28)
SparkSQL (91:15)
Kafka
Kafka Theory (94:39)
Kafka with Python (122:33)
KSQL (115:01)
Build a Streaming data pipeline (115:07)
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) (51:27)
Machine Learning Algorithms (Part 2), Recommender Systems (124:23)
ML in the real world, Deep Learning and Neural Networks (Part 1) (124:28)
Deep Learning and Neural Networks (Part 2) (115:51)
Generative AI, The OpenAI API (123:17)
RAG and LLM Agents
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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Kafka with Python
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