In today's data-driven landscape, organizations generate massive volumes of information across disparate platforms. SNWN Tech Solution transforms complex, fragmented enterprise data into clean, centralized, and actionable intelligence. We design modern cloud data warehouses, automate end-to-end ETL/ELT pipelines, and build interactive Power BI, Tableau, and Looker dashboards that empower executive decision-makers with real-time operational clarity and a sustainable competitive advantage.
High-concurrency performance across multi-terabyte datasets.
Automated testing frameworks validating data accuracy across all source systems.
Intelligent clustering, automated slot management, and query optimization for cloud warehouses.
Built-in row/column level security adhering to GDPR, HIPAA, and data residency standards.
Static, end-of-month spreadsheets that take finance and ops teams days of manual compilation and reconciliation.
Automated Real-Time Dashboards: Continuous streaming pipelines delivering live executive insights on web and mobile devices.
Different departments presenting conflicting numbers for core metrics like revenue, churn, and inventory levels.
Unified Single Source of Truth: Centralized semantic models and automated data testing ensuring complete metric consistency across the firm.
Ballooning monthly cloud data bills driven by unpartitioned tables, redundant compute, and unoptimized SQL queries.
FinOps-Optimized Warehousing: Intelligent clustering, slot reservations, and automated compute hibernation for Snowflake and BigQuery.
Fragile nightly cron jobs that fail silently, leaving dashboards out-of-date and requiring frequent manual fixes.
Modern ELT Frameworks: Version-controlled, self-healing data transformation pipelines built with dbt and Airflow featuring automated alerting.
Broad database permissions and sensitive spreadsheets emailed across departments risking customer privacy.
Role-Based Granular Security: Automated dynamic masking, least-privilege RBAC, and end-to-end encryption for sensitive PII data.
Architect petabyte-scale cloud data warehouses and lakehouses on Snowflake, BigQuery, Redshift, and Databricks using optimized Star and Data Vault schemas.
Engineer resilient, automated ETL and ELT ingestion pipelines with dbt, Apache Airflow, Fivetran, and Spark for audit-ready analytical models.
Design interactive executive dashboards in Power BI, Tableau, and Looker to track real-time revenue pipelines, churn, and operational KPIs.
Deploy ultra-low-latency event streaming pipelines using Apache Kafka, AWS Kinesis, and Google Pub/Sub for instant operational telemetry and alerting.
Establish centralized semantic layers and master data governance so Finance, Sales, and Marketing calculate CAC, LTV, and ARR consistently.
Implement automated data observability, end-to-end lineage tracking, and GDPR or HIPAA compliance controls using Great Expectations and Monte Carlo.
Quality Management System
Information Security Management
Azure Solutions Architect
Solutions Architect & CloudOps
RHCE Linux Enterprise
Certified Systems Professional
Certified Administrator
Software Testing & Automation
Quality Management System
Information Security Management
Azure Solutions Architect
Solutions Architect & CloudOps
RHCE Linux Enterprise
Certified Systems Professional
Certified Administrator
Software Testing & Automation
Enterprise cloud data warehouses, real-time streaming engines, automated ELT frameworks, semantic layers, and interactive business intelligence platforms orchestrated into cohesive data architectures.
Cataloging source systems, auditing schema quality, and defining core business metrics.
Provisioning the target cloud warehouse, security perimeters, and automated ingestion connectors.
Building modular, tested SQL transformations with automated data freshness checks.
Designing interactive, intuitive BI dashboards tailored to specific executive and managerial roles.
Rolling out self-service analytics, conducting team training, and monitoring pipeline health around the clock.
The optimal choice depends on your existing tech ecosystem, data structures, and query patterns. BigQuery excels for serverless SQL and Google Cloud native setups; Snowflake offers superior multi-cloud data sharing and independent storage/compute scaling; Redshift provides seamless integration with existing AWS services. We perform a thorough workload audit to recommend and implement the most cost-effective solution.
We embed automated data quality checks directly into the transformation layer using dbt tests, Great Expectations, and real-time observability tools. If an upstream schema changes or unexpected null values enter the pipeline, automated alerts trigger and prevent corrupt data from reaching production reporting environments.
Yes. We deploy automated, secure Change Data Capture (CDC) pipelines using tools like Debezium or Fivetran. These stream near-real-time updates from legacy on-premises databases (such as Oracle, SQL Server, or PostgreSQL) directly into your cloud data warehouse without placing heavy read loads on production systems.
Consult directly with a Principal Data Architect at SNWN Tech Solution to review your reporting bottlenecks, optimize your cloud warehouse infrastructure, and build a tailored data strategy.
