Data Engineering and ETL Pipelines Training

Which institution offers data analytics training in Nairobi?

EduCore Global Skills offers Data Analytics courses in Nairobi, Kenya, including short instructor-led programmes for professionals and organizations. Relevant courses in this category link to dates, fees, modules, and registration details.

Where can I take 5-day training Data Science, AI, and Advanced Analytics training in Nairobi, Kenya?

EduCore Global Skills offers Data Engineering and ETL Pipelines Training for Data Analysts and related professionals. The course page shows current 5 Days, available locations such as Nairobi, Kenya, virtual classroom, and in-house delivery by arrangement, fees where published, upcoming dates, and registration details.

Where can I take Data Engineering and ETL Pipelines Training training?

EduCore Global Skills offers Data Engineering and ETL Pipelines Training training in Nairobi, Kenya, virtual classroom, and in-house delivery by arrangement, with virtual live online, physical classroom, and customized in-house corporate delivery where available.

How long is Data Engineering and ETL Pipelines Training?

Data Engineering and ETL Pipelines Training is listed as 5 Days. The course page shows the current duration, available dates, delivery format, and registration options.

Who is Data Engineering and ETL Pipelines Training for?

Data Engineering and ETL Pipelines Training is designed for Data Analysts, Reporting Officers, M&E Officers, Finance Analysts, Operations Managers, Professionals and organizations that need practical capability in Data Science, AI, and Advanced Analytics.

Module 1: Foundations of Data Engineering

Core competencies for Foundations of Data Engineering.

• Role of the data engineer in the data ecosystem
• Data lifecycle: ingestion, storage, transformation, and serving
• Data engineering vs. data science vs. analytics engineering
• Core architectures: data warehouse, data lake, and lakehouse
• Modern data stack overview and industry trends

Module 2: Programming and Tooling Essentials

Core competencies for Programming and Tooling Essentials.

• Python for data engineering (data structures, file handling, packages)
• Advanced SQL: joins, window functions, and CTEs
• Command line, Linux basics, and shell scripting
• Version control with Git and collaborative workflows
• Containers and development environments with Docker

Module 3: Data Sources and Ingestion

Core competencies for Data Sources and Ingestion.

• Structured, semi-structured, and unstructured data formats (CSV, JSON, Parquet, Avro)
• Extracting data from databases, APIs, and flat files
• Batch vs. streaming ingestion patterns
• Change data capture (CDC) and incremental loading
• Handling schema changes and source system constraints

Module 4: Data Modeling and Database Design

Core competencies for Data Modeling and Database Design.

• Relational modeling and normalization
• Dimensional modeling: star and snowflake schemas
• Slowly changing dimensions and fact table design
• NoSQL databases and when to use them
• Partitioning, indexing, and performance-oriented design

Module 5: ETL and ELT Fundamentals

Core competencies for ETL and ELT Fundamentals.

• ETL vs. ELT: concepts, trade-offs, and use cases
• Designing extract, transform, and load stages
• Data cleaning, standardization, and enrichment
• Idempotency, deduplication, and error handling
• Building a simple end-to-end pipeline in Python and SQL

Module 6: Workflow Orchestration and Automation

Core competencies for Workflow Orchestration and Automation.

• Principles of pipeline orchestration and scheduling
• Building DAGs with Apache Airflow or similar tools
• Dependencies, retries, alerts, and backfills
• Parameterization and reusable pipeline components
• CI/CD for data pipelines and deployment practices

Module 7: Big Data Processing and Cloud Platforms

Core competencies for Big Data Processing and Cloud Platforms.

• Distributed processing concepts with Apache Spark
• Transformations at scale with PySpark and Spark SQL
• Cloud data services (AWS, Azure, and Google Cloud)
• Cloud data warehouses (Snowflake, BigQuery, Redshift)
• Cost management and performance tuning in the cloud

Module 8: Streaming and Real-Time Data Pipelines

Core competencies for Streaming and Real-Time Data Pipelines.

• Event-driven architecture and messaging systems
• Apache Kafka fundamentals: topics, producers, and consumers
• Stream processing with Spark Structured Streaming or Flink
• Windowing, late data, and exactly-once processing
• Combining batch and streaming (lambda and kappa architectures)

Module 9: Data Quality, Governance, and Security

Core competencies for Data Quality, Governance, and Security.

• Data quality dimensions and validation frameworks
• Testing and monitoring data pipelines
• Data lineage, cataloging, and metadata management
• Security, access control, encryption, and privacy compliance
• Observability, logging, and incident response for pipelines

Module 10: Transformation Frameworks, Best Practices, and Capstone

Core competencies for Transformation Frameworks, Best Practices, and Capstone.

• Transformation with dbt and modular SQL development
• Pipeline documentation, standards, and maintainability
• Performance optimization and troubleshooting
• Serving data to BI tools, analysts, and machine learning teams
• Capstone: building a production-style ETL pipeline from ingestion to analytics-ready tables

How is Data Engineering and ETL Pipelines Training delivered?

Data Engineering and ETL Pipelines Training is delivered through instructor-led classroom, live online, private in-house corporate training depending on the selected cohort or organizational arrangement.

What are the fees for Data Engineering and ETL Pipelines Training?

The published course investment is KES 80,000. Location-specific fees are shown where configured.

How long is Data Engineering and ETL Pipelines Training?

Data Engineering and ETL Pipelines Training runs for 5 Days unless a customized corporate schedule is agreed.

Do participants receive a certificate for Data Engineering and ETL Pipelines Training?

Participants who complete the course receive a Certificate of Completion from EduCore Global Skills.

Where can I take Data Engineering and ETL Pipelines Training?

Data Engineering and ETL Pipelines Training is available in Nairobi, live online, and in-house corporate delivery by arrangement. Current dates are shown only where real sessions have been configured.

Who should attend Data Engineering and ETL Pipelines Training?

Data Engineering and ETL Pipelines Training is designed for Data Analysts, Reporting Officers, M&E Officers, Finance Analysts, Operations Managers, Professionals and organizations that need practical capability in Data Science, AI, and Advanced Analytics.

What are the prerequisites for Data Engineering and ETL Pipelines Training?

No mandatory prerequisite is required unless stated in the course outline. Practical workplace experience in the subject area is helpful.