Staff / Principal Data Engineer | Azure | Databricks | Snowflake | Data Platforms | AI Systems
I’m a data engineer with 13+ years of experience building scalable data platforms, lakehouse architectures, and analytics systems across Azure, Snowflake, Databricks, and AWS.
I specialize in designing end-to-end data platforms that transform raw operational data into reliable, analytics-ready datasets used for business decision-making, reporting, and machine learning.
- Cloud Data Platforms: Azure (ADF, Databricks, Synapse), Snowflake, AWS
- Data Engineering: PySpark, SQL, Python, ETL/ELT, orchestration
- Lakehouse Architecture: Delta Lake, medallion design, large-scale pipelines
- Analytics & BI: Power BI, Tableau, OBIEE
- Data Governance: data quality, compliance, reliability
End-to-end AI SaaS that generates ATS-optimized resumes and cover letters.
Built with Next.js, Supabase, Prisma, Stripe, and LLM pipelines.
Focus: Product engineering, AI workflows, system design
Production-style ETL pipeline using Airflow, Python, PostgreSQL, and Docker.
Features:
- Dynamic task mapping (TaskFlow API)
- Layered data modeling
- Idempotent loads
- Dockerized local environment
Real-time pipeline using Kafka, Spark, Airflow, PostgreSQL, and Superset.
Focus:
- Streaming ingestion
- Distributed processing
- End-to-end analytics pipeline
I enjoy building systems that:
- Scale reliably
- Produce trusted data
- Support real business decisions
- Evolve with growing data needs