senior-data-engineer

name	senior-data-engineer
description	World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.

Senior Data Engineer

World-class senior data engineer skill for production-grade AI/ML/Data systems.

Quick Start

Main Capabilities

# Core Tool 1
python scripts/pipeline_orchestrator.py --input data/ --output results/

# Core Tool 2  
python scripts/data_quality_validator.py --target project/ --analyze

# Core Tool 3
python scripts/etl_performance_optimizer.py --config config.yaml --deploy

Core Expertise

This skill covers world-class capabilities in:

• Advanced production patterns and architectures
• Scalable system design and implementation
• Performance optimization at scale
• MLOps and DataOps best practices
• Real-time processing and inference
• Distributed computing frameworks
• Model deployment and monitoring
• Security and compliance
• Cost optimization
• Team leadership and mentoring

Tech Stack

Languages: Python, SQL, R, Scala, Go ML Frameworks: PyTorch, TensorFlow, Scikit-learn, XGBoost Data Tools: Spark, Airflow, dbt, Kafka, Databricks LLM Frameworks: LangChain, LlamaIndex, DSPy Deployment: Docker, Kubernetes, AWS/GCP/Azure Monitoring: MLflow, Weights & Biases, Prometheus Databases: PostgreSQL, BigQuery, Snowflake, Pinecone