senior-data-engineerv0.1.0

Migrate a legacy on-premise data warehouse to a modern cloud-based lakehouse architecture using Apache Spark and Delta Lake. This involves redesigning ETL pipelines, implementing incremental loads, and ensuring data quality across the transition.

Build a streaming pipeline using Kafka and Flink to process financial transactions in real-time, detecting fraud patterns with sub-second latency. Includes monitoring consumer lag and schema drift to maintain high throughput and reliability.

Design a batch pipeline that aggregates daily sales, inventory, and customer behavior data from multiple sources into Snowflake. Use dbt for transformations and Airflow for orchestration, serving a Tableau dashboard for business intelligence.

Implement a data quality and governance framework for a healthcare provider, ensuring HIPAA compliance. Develop validation rules for patient records, automate lineage tracking, and set up alerts for data anomalies.

Create a streaming architecture to ingest and process millions of IoT sensor messages per second using Kinesis and Spark Structured Streaming. Include monitoring for data freshness and dead letter queues to handle malformed data.

Offer end-to-end data pipeline design, implementation, and maintenance to clients as a subscription service. Generate recurring revenue through monthly retainers for pipeline monitoring and optimization.

Provide fixed-fee consulting engagements for data architecture design, migration, and training. Revenue from project-based contracts for specific deliverables like pipeline setup or performance tuning.

Develop and license a data quality validation framework that can be integrated into existing pipelines. Charge per deployment or on a per-data-asset basis.