You will get a data warehouse in GCP / Snowflake
Project details
I design scalable, cost-efficient data platforms that turn fragmented data into a trusted Single Source of Truth. With 11+ years of experience across GCP, Snowflake, and AWS, I deliver reliable pipelines, accurate reporting, and production-ready solutions not just code, but business impact.
Database Type
MS SQL, MongoDB, Teradata, Azure Cosmos DBWhat's included
| Service Tiers |
Starter
$100
|
Standard
$500
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 10 days |
Number of Revisions | 2 | 2 | Unlimited |
Number of Tables Added | 1 | ||
Schema Diagram | - | - | |
Permissions Setup | - | - | |
Import/Export Data | - | - | - |
Admin Panel Setup | - | - |
About Kalaiyarasee
Senior Data Engineer | GCP | BigQuery | Dataform | Airflow | Snowflake
Parramatta, Australia - 5:26 pm local time
I help businesses design, build, and optimize modern data platforms that are reliable, cost-efficient, and analytics-ready. From raw ingestion to executive dashboards and ML-ready datasets. I deliver end-to-end solutions.
What I Bring
✔ Google Cloud Platform (GCP) – BigQuery, Dataform, Airflow, Dataflow, Datastream, GCS, Workflows, Vertex AI
✔ Snowflake & AWS – Snowflake ELT, SCD Type 2, AWS Glue, Athena, S3, RDS
✔ ETL/ELT & Data Pipelines – Batch & near real-time ingestion, orchestration, transformation
✔ Advanced SQL & Python – Performance tuning, automation, validation frameworks
✔ Data Modeling & SSOT Design – Order, Payment, Sales, Freight reconciliation models
✔ Cost Optimization – BigQuery tuning, partitioning, clustering, pipeline refactoring
✔ Data Quality & Monitoring – Logging, alerting, validation dashboards
✔ Payment Reconciliation & Retail Analytics – Multi-source financial alignment
Steps for completing your project
After purchasing the project, send requirements so Kalaiyarasee can start the project.
Delivery time starts when Kalaiyarasee receives requirements from you.
Kalaiyarasee works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Requirement Analysis
Understand your business objectives, data sources, reporting needs, and technical environment. Review existing architecture and identify gaps.
Architecture & Design Planning
Design a scalable data architecture (ingestion → staging → transformation → reporting). Define data models, storage strategy, orchestration flow, and cost optimization approach.