I will build event driven etl pipelines on gcp bigquery for data engineering
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Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
Highly Responsive
Known for exceptionally quick replies
About this Gig
Are you looking to transform raw, scattered data into a scalable, real-time analytics engine? I'm a GCP Data Engineer specializing in high-performance, cost-effective data solutions from pipeline design to production-ready BigQuery warehouses.
What I Specialize In:
Event-Driven Pipelines
Serverless ingestion using Cloud Run Jobs, Cloud Functions, Pub/Sub, and Eventarc to capture data from APIs and webhooks straight into BigQuery.
️ Medallion Architecture
Structuring BigQuery warehouses into Bronze, Silver, and Gold (raw/staging/curated) layers with optimized SQL transformations and dimensional modeling to reduce query costs.
CDC & Incremental ETL
Robust Change Data Capture pipelines using Python, SQLAlchemy, and watermark-based processing for incremental, deduplicated updates from PostgreSQL, SQL Server, and Cloud SQL.
️ Cloud Integrations
Automated ingestion from AWS S3, Shopify, Google Ads, Meta Ads, and REST/GraphQL APIs into a unified GCP analytics layer powering Looker dashboards for sales, marketing, and finance reporting.
Why My Services?
Clean, modular, production-grade Python and SQL
GCP cost-optimization via partitioning, clustering, and MERGE-based transform
Tools & Platforms:
Airbyte
•
Stitch Data
My Portfolio
FAQ
Do I need to provide cloud credentials?
Yes, securely via Google Cloud IAM roles or temporary service account JSON keys using Google Secret Manager best practices. Never share primary account passwords.
Do you use dbt for transformations?
Yes, for Standard and Premium packages, dbt is leveraged to build, document, and test modular SQL pipelines inside BigQuery.

