senior-data-engineer
Senior-level data engineering expertise for building scalable pipelines, ETL systems, and production data infrastructure.
- Covers advanced patterns across data pipeline architecture, modeling, and DataOps with distributed computing frameworks (Spark, Airflow, dbt, Kafka) and modern data stack tools (Databricks, BigQuery, Snowflake)
- Includes production deployment patterns for scalable data processing, ML model serving with low latency, and real-time inference with auto-scaling and monitoring
- Provides best practices for development (TDD, code reviews), production (monitoring, canary deployments, feature flags), and team leadership including mentoring and cross-functional collaboration
- Supports multiple languages (Python, SQL, R, Scala, Go) and integrates with ML frameworks (PyTorch, TensorFlow, XGBoost), LLM tools (LangChain, LlamaIndex), and observability platforms (MLflow, Prometheus, Weights & Biases)
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
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