You will get a scalable BigQuery or Snowflake Data Warehouse
Project details
You will get a scalable, production-ready BigQuery or Snowflake Data Warehouse designed for high-performance analytics and business intelligence. I build modern data warehouse solutions using BigQuery, Snowflake, dbt, SQL, and ELT best practices, creating optimized dimensional models, Star Schemas, and automated transformation pipelines.
With 10+ years of experience in Data Engineering and Cloud Data Platforms, I deliver secure, scalable, and maintainable data warehouse solutions that enable faster reporting, reliable analytics, and efficient data management. Every solution includes best practices for data modeling, query optimization, performance tuning, and documentation to ensure long-term success.
With 10+ years of experience in Data Engineering and Cloud Data Platforms, I deliver secure, scalable, and maintainable data warehouse solutions that enable faster reporting, reliable analytics, and efficient data management. Every solution includes best practices for data modeling, query optimization, performance tuning, and documentation to ensure long-term success.
Database Type
MySQL, MS SQL, Oracle, PostgreSQL, MongoDBWhat's included
| Service Tiers |
Starter
$200
|
Standard
$500
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 25 days |
Number of Revisions | 3 | 5 | Unlimited |
Source Code | - | - | - |
Frequently asked questions
About Srikanth
Senior Data Engineer | PySpark | GCP | Azure
Visakhapatnam, India - 4:21 pm local time
I help organizations modernize their data platforms, migrate legacy ETL systems to the cloud, optimize Spark and SQL workloads, and build reliable, analytics-ready data pipelines that improve performance while reducing operational costs.
My expertise includes:
✔ ETL/ELT Pipeline Development (PySpark, Python, SQL)
✔ Cloud Data Engineering (GCP, Azure, AWS)
✔ BigQuery, Snowflake & Databricks
✔ Apache Spark & PySpark Optimization
✔ Azure Data Factory, Airflow & Cloud Dataflow
✔ Data Warehousing & Dimensional Modeling
✔ dbt, Lakehouse & Medallion Architecture
✔ Kafka & Pub/Sub Streaming Pipelines
✔ CI/CD, DataOps & Data Quality
✔ Cloud Migration & Platform Modernization
What I can help you with:
• Design scalable cloud data platforms
• Build high-performance ETL/ELT pipelines
• Migrate legacy ETL tools to modern cloud architectures
• Optimize PySpark, SQL, and BigQuery performance
• Develop real-time streaming data pipelines
• Implement enterprise data warehouses
• Reduce cloud costs and improve pipeline reliability
I believe in writing clean, maintainable, and production-ready code while delivering solutions that are scalable, cost-effective, and aligned with business goals. I value clear communication, timely delivery, and long-term client relationships.
Let's discuss how I can help build or modernize your data platform.
Steps for completing your project
After purchasing the project, send requirements so Srikanth can start the project.
Delivery time starts when Srikanth receives requirements from you.
Srikanth works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Review your business requirements, source systems, reporting goals, and data warehouse objectives.
Data Warehouse Design
Design the data model, Star Schema (if applicable), and define ELT architecture and transformation logic.