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Four production-grade data platform solutions, each solving a real business problem end-to-end.

Showing 4 of 4 solutions

Automated daily data ingestion from a third-party call-tracking platform into the enterprise data warehouse, eliminating manual data pulls and enabling real-time call analytics for sales and operations teams.

REST API Source
ADLS Landing Zone
Databricks Processing
Snowflake Load
Orchestration & Monitoring
DatabricksSnowflakePySparkDelta LakeREST API
4 key features
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Replaced ad-hoc SQL scripts with a version-controlled, tested, and documented transformation layer. Business analysts can now trust the data because every metric has a lineage trail and automated test coverage.

Source Layer
Staging Models
Intermediate Models
Mart Models
Streamlit Apps
dbtSnowflakeStreamlitCI/CDData Modeling
4 key features
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Eliminated manual Snowflake configuration drift by codifying the entire platform infrastructure. Any change to roles, warehouses, or databases goes through a PR review and automated deployment — no more undocumented manual changes.

Terraform State
RBAC Module
Warehouse Module
Cost Governance
CI/CD Deployment
TerraformSnowflakeIaCRBACCI/CD
4 key features
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Built the single source of truth for customer data across multiple source systems. Every customer record is deduplicated, enriched, and available for analytics, reporting, and downstream applications within a 2-hour SLA.

Source Ingestion
ETL Control Framework
Staging Views
Stored Procedure Orchestration
ETL Observability
SnowflakeSQLStored ProceduresETL ObservabilityRBAC
4 key features
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