I will build scalable etl pipelines, data warehouses, and real time data engines

Are you drowning in raw data with no reliable pipeline to make sense of it? I build enterprise-grade data engineering solutions that transform messy, siloed data into clean, actionable insights on time and at scale.

With years of hands-on experience, I specialize in:

ETL/ELT Pipeline Development robust, fault-tolerant pipelines using Apache Airflow, dbt, and custom frameworks

Data Warehousing designing and building optimized warehouses on Snowflake, BigQuery, Redshift, or Databricks

Apache Spark & PySpark large-scale batch processing and transformation for terabytes of data

Real-Time Streaming low-latency streaming architectures using Apache Kafka

Workflow Orchestration production-ready DAGs in Airflow with monitoring, alerting, and retry logic

Why work with me?

Clean, documented, production-ready code

Scalable architecture that grows with your business

Clear communication throughout the project

On-time delivery with unlimited revisions on logic errors

Whether you're a startup building your first data stack or an enterprise modernizing legacy pipelines, I'll deliver a solution that just works.