I will build bigquery data pipelines for analytics and reporting
Data Engineer: dbt, BigQuery, PySpark, Python, SQL, GCP, AWS
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
If your data in BigQuery is messy, slow, or unreliable, dashboards and reports are useless.
I can help design, build, and automate BigQuery data pipelines that transform raw data into clean, analytics-ready tables optimized for reporting, BI tools, and decision-making.
I focus on correctness, performance, and scalability, not quick hacks.
What I Can Help You With
BigQuery Pipeline Design
Design end-to-end ELT/ETL pipelines using BigQuery best practices, optimized for cost and performance.
Data Ingestion & Transformation
Load data from databases, APIs, CSVs, or cloud storage and transform it using SQL-based modeling.
Scheduled & Automated Pipelines
Set up scheduled jobs and incremental loads so your data stays fresh without manual work.
Data Modeling for Analytics
Create clean fact and dimension tables that work seamlessly with BI tools like Metabase, Looker, or Tableau.
Query Optimization & Cost Control
Optimize queries and table structures to reduce BigQuery costs and improve performance.
Documentation & Handover
Provide clear documentation so your team understands and can maintain the pipeline.
