Lead Data Engineer | 7 Years Exp | Azure, Databricks, GCP, BigQuery

I’m a results-driven Data Engineer

with 7+ years of experience designing and implementing large-scale, cloud-native data platforms across GCP, Azure, and Databricks ecosystems. I specialize in building scalable ETL/ELT pipelines, developing modular data models, and enabling high-performance analytics and machine learning workflows.

My recent work includes:

• Migrating 200+ production-grade pipelines from Azure to GCP Databricks (30TB+ of data) with near-zero downtime
• Leading architecture of a Dataform-based data warehouse in BigQuery, reducing query costs and boosting performance by 3x
• Automating data pipeline deployments using ADF, Fivetran, and Databricks Jobs
• Designing reusable components in Python, PySpark, and SQL, cutting dev effort by 60%

I bridge the gap between engineering and business by collaborating closely with sales, data science, and analytics teams to ensure data solutions directly support business goals.

Skills & Tools:

• GCP
• Azure
• Databricks
• BigQuery
• Dataform
• ADF
• Fivetran
• Snowflake
• SQL
• Python
• PySpark
• Git
• CI/CD
• Power BI
• Pub/Sub
• Event Hub

Open to:

• Senior Data Engineer
• Lead Data Engineer
• Data Architect
• Solutions Architect (Cloud/Data)
• Technical Consultant (Big Data & Cloud)