Turn raw data into strategic advantage
We build modern data platforms that transform raw data into actionable intelligence. From real-time streaming pipelines to enterprise data warehouses and BI dashboards, we help organizations become truly data-driven.
- Data Strategy WorkshopStep 01
- Architecture DesignStep 02
- Pipeline DevelopmentStep 03
- Analytics & BIStep 04
- Govern & ScaleStep 05
Why data initiatives stall
Most organizations collect more data than ever but extract less value. We fix the underlying platform.
Data Silos Everywhere
Customer data in Salesforce, financials in SAP, product data in PostgreSQL — no single source of truth exists.
Reports Take Weeks
When a VP asks for a cross-functional report, it takes the BI team 2-3 weeks of manual SQL and spreadsheet wrangling.
Poor Data Quality
Duplicate records, missing values, inconsistent formats — bad data leads to bad decisions and eroded trust in analytics.
Brittle Pipelines
Cron jobs, custom scripts, and FTP transfers that break silently. Nobody knows they failed until someone complains about stale data.
Scaling Bottlenecks
Legacy warehouses that choke on growing data volumes. Queries that took seconds now take minutes or time out entirely.
Governance & Compliance Gaps
No data catalog, no lineage tracking, no access controls. Auditors and regulators demand better data governance.
Modern data platform methodology
From data chaos to a governed, performant, self-service analytics platform.
Data Strategy Workshop
We map your data landscape — sources, consumers, quality issues, and business objectives.
Data source inventory, stakeholder interviews, KPI identification, maturity assessment
Architecture Design
We design your modern data platform — warehouse/lakehouse, ingestion pipelines, transformation layers, and serving.
Medallion architecture, schema design, partitioning strategy, access patterns analysis
Pipeline Development
We build reliable, testable, and observable data pipelines using dbt, Airflow, and native cloud services.
ELT/ETL pipelines, CDC streams, data quality checks, SLA monitoring, alerting
Analytics & BI
We create self-service dashboards and reporting layers that empower business users to explore data independently.
Dashboard design, semantic modeling, drill-down logic, scheduled reports, embedded analytics
Govern & Scale
We implement data governance, cataloging, and cost management to keep your platform healthy as it grows.
Data catalog, column-level lineage, PII classification, cost monitoring, performance tuning
What's Included
End-to-end data platform services from ingestion through visualization and governance.
Data Warehouse Architecture
Modern cloud warehouses on Snowflake, BigQuery, or Redshift — designed for performance, cost, and concurrency.
Data Lake & Lakehouse
S3/GCS/ADLS-based data lakes with Delta Lake, Iceberg, or Hudi for ACID transactions and schema evolution.
Real-Time Streaming
Event-driven architectures with Kafka, Kinesis, and Flink for sub-second data freshness and real-time analytics.
ETL/ELT Pipelines
dbt transformations, Airflow orchestration, Fivetran/Stitch ingestion — reliable, tested, and versioned pipelines.
BI & Visualization
Tableau, Looker, QuickSight, and Power BI dashboards with self-service analytics and embedded reporting.
Predictive Analytics
Forecasting, anomaly detection, and recommendation models that turn historical data into future insights.
Data Governance
Data cataloging (DataHub, Atlan), lineage tracking, quality frameworks, and access control policies.
Cost Optimization
Query optimization, warehousing cost management, auto-suspend/resume, and workload isolation for predictable spend.
Enterprise case study
E-Commerce Platform — Modern Data Stack
Mid-market e-commerce company with roughly $18M annual GMV and 180K customers
Challenge
The company relied on a legacy MySQL data warehouse that couldn't handle growing query loads. BI reports took 90+ minutes to refresh. Marketing, finance, and product teams used separate spreadsheets with conflicting numbers. Data engineers spent about half their time fixing broken pipelines instead of building new capabilities.
Solution
- Migrated from MySQL to Snowflake with medallion architecture (bronze/silver/gold)
- Built CDC pipelines with Fivetran for 6 core data sources and dbt for transformations
- Deployed Airflow for orchestration with Slack alerts and SLA monitoring
- Created unified Looker dashboards for marketing, finance, and product teams
- Implemented DataHub data catalog with column-level lineage and PII tagging
Key technologies
Snowflake · dbt · Airflow · Fivetran · Looker · DataHub · Python · Kafka
Data tools & platforms
The modern data stack — best-in-class tools for every layer of your data platform.
Your data engineering partner
Modern Data Stack Expertise
We don't use legacy tools. Our engineers are experts in Snowflake, dbt, Airflow, Kafka, and the modern analytics ecosystem.
Architecture-First Approach
We design for 3-5 years of growth. No quick hacks — proper medallion architecture, testing, and governance from day one.
Business-Outcome Focused
We measure success by business KPIs delivered, not by tables created. Every dashboard answers a specific business question.
Frequently asked questions
Ready to become data-driven?
Schedule a data strategy workshop to map your data landscape and design a modern platform roadmap.