Multicloud Snowflake Data Engineering:
This hands-on program teaches you to design, build, and operate modern ELT pipelines on Snowflake across AWS, Azure, and GCP.
You’ll ingest data from S3/ADLS/GCS into Snowflake using internal/external stages, COPY, and Snowpipe for near-real-time loads; implement CDC with Streams & Tasks; and model analytics-ready layers (Bronze/Silver/Gold) with star schemas and SCD-2.
Orchestrate end-to-end workflows with Azure Data Factory (ADF), build tested and documented transformations in dbt (tests, snapshots, docs, CI/CD), and design visual, parameterized pipelines in Matillion. Production topics—RBAC, masking and row access policies, query performance, warehouse sizing, cost governance, monitoring, and runbooks—are woven into every module.
Capstone projects simulate real enterprise scenarios and showcase multicloud patterns such as cross-cloud ingestion and environment promotion. By the end, you’ll be able to ship secure, observable, and cost-efficient Snowflake pipelines that run reliably across clouds.
Start Date & End Date
1 Subject
5 Learning Materials
4 Courses • 467 Students
Sagar is a seasoned Data Engineer with over 8 years of experience in designing, developing, and optimizing cloud-based data solutions. His expertise spans across Snowflake, Azure, AWS, and Matillion, enabling businesses to build efficient, scalable, and high-performance data pipelines.
With a deep understanding of data warehousing, ETL workflows, and cloud data engineering, Sagar has successfully led multiple end-to-end data migration and transformation projects across industries. His passion for data-driven solutions and hands-on experience with modern cloud technologies make him an invaluable mentor and instructor.
🔹 Key Expertise:
✔ Snowflake – Data warehousing, Snowpark, performance tuning
✔ Azure & AWS – Cloud data solutions, storage, and compute optimization
✔ Matillion & DBT – ETL/ELT pipeline development, orchestration, and automation
✔ Python & SQL – Data transformation, scripting, and process automation
Sagar's real-world experience and ability to simplify complex data concepts make him an ideal mentor for aspiring data engineers.
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