Data Engineer

I am a Data Engineer specializing in building enterprise-grade, cloud-native data platforms on Google Cloud Platform (GCP). I design scalable batch and real-time streaming architectures that convert complex raw datasets into high-performance analytical environments to seal real-world business problems.

My technical core spans the modern GCP data stack—implementing high-velocity streaming with Apache Beam (Dataflow) and Pub/Sub, orchestrating workflows with Cloud Composer (Airflow), and architecting production BigQuery data warehouses using Medallion Architecture.

Core Capabilities & Technical Expertise: • GCP Data Ecosystem: BigQuery, Dataflow (Apache Beam), Cloud Composer (Apache Airflow), Pub/Sub, Google Cloud Storage (GCS), Data Fusion, Looker Enterprise • Architecture & Design: Medallion Architecture, Real-Time & Batch ETL/ELT Pipelines, Schema Design, Data Modelling • DataOps & Engineering: Python, Advanced SQL, Automated Pipeline Ingestion, Streaming Validation Frameworks, Data Quality Auditing

Certifications: • Google Cloud Certified Professional Data Engineer • Google Cloud Certified Associate Data Practitioner • Google Cloud Certified Generative AI Leader • Databricks Certified Data Engineer Associate

I am passionate about solving complex data bottlenecks, reducing query latencies, and ensuring strict data reliability across downstream analytics. Let’s connect to discuss cloud data architecture, modern ELT patterns, or GCP implementations.