ETL Pipeline Optimization & Modernization

Accelerate and stabilize data pipelines (batch & streaming): refactor legacy ETL, migrate to Airflow/DBT, add observability, and reduce cost.

• Pipeline bottleneck analysis & profiling
• Code refactoring & parallelization
• Migration to cloud-native (Glue, Dataflow, Flink)
• Data quality checks & anomaly detection
• Cost optimization (spot instances, auto-scaling)

• Cut pipeline runtime by 70%
• Reduce data engineering maintenance burden
• Improve data freshness & reliability
• Lower cloud processing costs