Cloud Data Engineering
Design and orchestrate ingestion and transformation workflows using BigQuery, Cloud Composer, Dataflow, AWS Glue, Airflow, dbt and Dataform.
What I Do
I work across cloud data engineering, warehouse modernization, BI platforms and delivery enablement. My experience spans Google Cloud and AWS, with a focus on reliable pipelines, governed analytics and practical solutions for enterprise teams.
BI & Semantic Analytics
Build Looker and Power BI solutions, reusable semantic models, embedded analytics, governed access and operational dashboards.
Modernization & Delivery
Support enterprise migration programs, automated validation, infrastructure as code, monitoring and cross-team delivery.
Selected Highlights
Teradata → BigQuery
Supported an enterprise healthcare data warehouse migration across 17 lines of business, including SQL conversion, object migration and data validation.
Project details →Looker from the Ground Up
Delivered analytics solutions over BigQuery, Snowflake and Redshift, with RBAC, embedded dashboards, reusable Explores and API automation.
Project details →Healthcare & Public-Sector Analytics
Built cloud ingestion workflows and dashboards for COVID-19 metrics, economic recovery, quarantine status and testing outcomes.
Project details →Core Toolkit
- Google Cloud
- BigQuery
- Cloud Composer / Airflow
- Dataflow / Apache Beam
- AWS Glue
- Databricks
- dbt & Dataform
- Python & SQL
- Looker
- Power BI
- Terraform
- Snowflake