About Me
GCP Data Engineer with 4+ years of experience designing scalable cloud-native data platforms, enterprise data warehouses, and analytics solutions. Expertise in BigQuery, Dataflow, Cloud Composer (Airflow), Cloud Storage,…
GCP Data Engineer with 4+ years of experience designing scalable cloud-native data platforms, enterprise data warehouses, and analytics solutions. Expertise in BigQuery, Dataflow, Cloud Composer (Airflow), Cloud Storage, Cloud SQL, SQL, Python, dbt, and dimensional data modeling. Experienced in building high-performance ETL/ELT pipelines processing 120+ GB of data daily, optimizing BigQuery workloads, implementing data quality frameworks, and delivering analytics-ready datasets. Strong background in data architecture, workflow orchestration, CI/CD automation, performance tuning, and stakeholder management.
Experience
Data Engineer Analyst
Engineered and maintained scalable ETL/ELT pipelines using BigQuery, Dataflow, Cloud Composer, Cloud Storage, and Cloud SQL processing 120+ GB data daily. Designed and implemented cloud-native data warehouse solutions enabling enterprise reporting and self-service analytics. Built logical and physical data models including Star Schema, Snowflake Schema, Fact Tables, and Dimension Tables. Optimized BigQuery workloads through partitioning, clustering, and SQL tuning resulting in 30% faster query performance. Managed 25+ production Airflow DAGs with SLA monitoring, alerting, and operational support. Developed automated data validation and reconciliation frameworks reducing data quality incidents and improving reporting accuracy. Implemented CI/CD deployment pipelines reducing release effort by 50%. Partnered with business stakeholders, architects, and analysts to deliver analytics-ready datasets. Performed root cause analysis, production support, and performance optimization for critical pipelines. Ensured adherence to enterprise data governance, security, and compliance standards. Coordinated with upstream and downstream application teams to integrate scalable data ingestion and transformation workflows. Enhanced BigQuery performance through tuning and cost optimization.