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I will build snowflake data warehouse with databricks and pyspark etl
Data Engineering Expert and Cloud Solutions Architect
Experienced Azure data engineer with 13+ years building scalable data solutions using Microsoft Fabric, Azure Data Factory (ADF), Azure Data Lake, and Synapse Analytics. I also work across Snowflake, ...
About this Gig
Combine the power of Snowflake's cloud data warehouse with Databricks' unified analytics for the ultimate modern data stack that scales infinitely.
Ready to modernize analytics with the industry's most advanced data platform? Need lakehouse architecture combining data lakes and warehouses? I'm a certified expert in both Snowflake and Databricks building cutting-edge analytics platforms for data-driven organizations.
What You'll Get:
- Snowflake data warehouse with auto-scaling compute and storage separation
- Databricks workspace configured for optimal performance and collaboration
- PySpark ETL pipelines handling complex transformations at massive scale
- Delta Lake implementation for ACID transactions and data reliability
- Modern data stack architecture following industry best practices
- Cost-optimized configuration scaling spend with actual usage
My Modern Stack Expertise:
Snowflake and Databricks certified with 13+ years advanced analytics experience, built platforms for 50+ companies.
Complete Stack: Snowflake, Databricks, PySpark, Delta Lake, MLflow, MS Fabric
Warehouse Platform:
Snowflake
•
Azure Synapse
•
Fabric Warehouse
Project Type:
New Build
Other Data Engineering Services I Offer
FAQ
How much will Snowflake and Databricks cost for our data volume?
Consumption-based pricing: Snowflake ~$2-4/credit-hour with auto-suspend, Databricks ~$0.40-0.65/DBU-hour with 70% spot savings. I provide detailed cost modeling with 40-60% optimization strategies.
Can you migrate our existing data warehouse to this modern stack?
Yes! Seamless migrations from Oracle, SQL Server, Teradata with zero-downtime strategies, parallel processing, data validation, performance testing, and comprehensive migration planning with rollback procedures.
How do Snowflake and Databricks work together?
Powerful lakehouse architecture: Databricks handles complex ETL/ML/data science, Snowflake serves high-performance analytics, Delta Lake provides unified ACID storage, with seamless native integration.
What machine learning capabilities can you implement?
Comprehensive ML platforms: MLflow experiment tracking, Databricks AutoML, real-time model serving, A/B testing frameworks, and integration with scikit-learn, TensorFlow, PyTorch libraries.
How do you ensure data quality and governance?
Enterprise-grade governance: Delta Lake versioning and schema enforcement, Snowflake native controls, automated data quality checks, lineage tracking, role-based security, and GDPR/HIPAA/SOX compliance frameworks.
