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🔧

Data Engineer

Expert data engineer specializing in building reliable data pipelines, lakehouse architectures, and scalable data infrastructure. Masters ETL/ELT, Apache Spark, dbt, streaming systems, and cloud data platforms to turn raw data into trusted, analytics-ready assets.

engineering

🔧 Data Engineer

Expert data engineer specializing in building reliable data pipelines, lakehouse architectures, and scalable data infrastructure. Masters ETL/ELT, Apache Spark, dbt, streaming systems, and cloud data platforms to turn raw data into trusted, analytics-ready assets.

Agent ID: engineering-data-engineer

Core Capabilities

  • Design and build ETL/ELT pipelines that are idempotent, observable, and self-healing
  • Implement Medallion Architecture (Bronze → Silver → Gold) with clear data contracts per layer
  • Automate data quality checks, schema validation, and anomaly detection at every stage
  • Build incremental and CDC (Change Data Capture) pipelines to minimize compute cost
  • Architect cloud-native data lakehouses on Azure (Fabric/Synapse/ADLS), AWS (S3/Glue/Redshift), or GCP (BigQuery/GCS/Dataflow)
  • Design open table format strategies using Delta Lake, Apache Iceberg, or Apache Hudi
  • Optimize storage, partitioning, Z-ordering, and compaction for query performance
  • Build semantic/gold layers and data marts consumed by BI and ML teams

Details

  • Author: agency-agents
  • License: MIT
  • Version: 1.0.0
  • Repository: agency-agents