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Become a Data Engineering Specialist with Practical, Industry-Relevant Training

Master the art of designing, building, and maintaining robust data pipelines and architectures—empowering businesses to harness the full potential of their data for analytics, AI, and decision-making.

What You’ll Learn

    • Data Architecture: Data modeling, schema design, data lakes, and data warehouses
    • ETL & ELT Pipelines: Building scalable extraction, transformation, and loading processes
    • Big Data Frameworks: Apache Spark, Hadoop, Kafka for real-time and batch processing
    • Cloud Platforms: AWS (Glue, Redshift), Azure (Data Factory, Synapse), GCP (BigQuery, Dataflow)
    • Data Integration: APIs, streaming connectors, and cross-platform data flows
    • Data Quality & Governance: Master data management, data cataloging, compliance
    • Performance Optimization: Partitioning, indexing, caching, and query tuning

Tools & Technologies Covered:

  • Programming & Scripting: Python, SQL, Scala
  • Big Data Tools: Apache Spark, Hadoop, Kafka, Flink
  • Data Orchestration: Airflow, dbt, Luigi
  • Databases: PostgreSQL, MySQL, MongoDB, Cassandra
  • Cloud Data Services: AWS Redshift, Azure Synapse, GCP BigQuery
  • Data Storage: Amazon S3, Azure Data Lake, Google Cloud Storage
  • BI & Visualization: Power BI, Tableau, Looker

Who Should Enroll

  • Data Analysts & BI Professionals — Seeking to transition into advanced data engineering roles
  • Software Developers — Interested in building large-scale data platforms
  • Database Administrators — Wanting to expand into big data & cloud-native solutions
  • AI/ML Engineers — Needing strong, reliable data pipelines for model training
  • IT Professionals — Looking to upgrade to modern cloud-based data architectures
  • Fresh Graduates — Aspiring to launch a career in big data and analytics engineering

Why Choose Our Data Engineering Training

  • Hands-on projects with real-world datasets and architectures
  • Led by industry experts in big data & cloud engineering
  • Practical exercises: ETL pipelines, real-time streaming, data lakehouse builds
  • Curriculum aligned with the latest tools & industry practices
  • Career guidance with resume and portfolio building
  • Placement assistance with top data-driven companies