I will develop and build data engineering pipelines

Build Scalable, Production-Ready Data Pipelines

I design and implement reliable, cloud-ready data pipelines that automate ingestion, transformation, validation, and delivery across cloud and hybrid environments.

Using Python, SQL, Spark, Databricks, AWS, Azure, and GCP, I help teams turn raw data into analytics-ready, trusted datasets.

Services include:

• ETL & ELT pipelines (batch and streaming)
• API, database, and cloud storage integrations
• Cloud-native pipelines (ADF, Databricks, AWS Glue, GCP Dataflow)
• Real-time processing with Kafka, Pub/Sub, or Event Hubs
• Data quality checks, logging, and optimization

Results:

• Delivered optimized Azure and Databricks pipelines with up to 100% faster processing, secure Delta Lake architectures, and automated orchestration.