Data & Analytics
Modern lakehouse architectures, real-time streaming pipelines, and executive BI dashboards.
Data is only valuable if it is accessible, trusted, and actionable in real time. Siloed databases and manual CSV exports prevent leaders from making informed decisions.
Arraynic Systems constructs modern Data Lakehouse foundations using Snowflake, Databricks, BigQuery, and dbt. We build automated ETL/ELT pipelines and executive BI dashboards that deliver instant operational clarity.
Streaming Data Pipelines
Faster Query Speeds
Of Enterprise Truth
01 — Problem vs Solution
Eliminating industry bottlenecks.
How our engineering standard solves common pitfalls that plague traditional development agencies.
Business leaders getting conflicting KPI numbers from different departments and disconnected tools.
We build a centralized dbt data model establishing a single, verified source of truth for all enterprise metrics.
Slow, expensive queries timing out when generating monthly executive reports.
Columnar lakehouse storage and pre-aggregated analytics tables deliver reports in milliseconds.
02 — Technical Pillars
Deep engineering capabilities.
Explore the modular technical foundations built into every data & analytics deployment.
Modern Data Lakehouse Architecture
Centralizing structured and unstructured enterprise data into unified Snowflake, BigQuery, or Databricks platforms.
Automated ELT & dbt Data Modeling
Building version-controlled transformation pipelines with dbt, automated data testing, and continuous documentation.
Executive BI & Telemetry Dashboards
Developing high-performance dashboards in Looker, Tableau, Power BI, or custom embedded React applications.
Predictive Analytics & Anomaly Detection
Deploying machine learning models to forecast churn, predict inventory demand, and detect anomalous transactions.
03 — Execution Lifecycle
How we build & ship.
A predictable, transparent sprint cadence with visible working software delivered every week.
Data Discovery & Schema Mapping
Cataloging data sources, ingestion protocols, business KPI definitions, and compliance requirements.
Deliverable
Data Architecture Blueprint
Lakehouse & Ingestion Pipeline Setup
Deploying Snowflake / Databricks warehouse, Airbyte / Fivetran connectors, and raw data ingestion.
Deliverable
Operational Data Warehouse
dbt Modeling & Quality Testing
Writing dbt transformation models, data quality assertions, and lineage documentation.
Deliverable
Verified Analytics Models & Lineage
BI Dashboard Deployment & Training
Building interactive executive dashboards and training business teams on self-serve analytics.
Deliverable
Live BI Dashboards & User Training
04 — What You Receive
Tangible project deliverables.
- Real-time Streaming (Kafka / Flink / Spark)
- Snowflake / Databricks Modern Lakehouse Builds
- Custom Executive Dashboards & KPI Telemetry
- Predictive Machine Learning & Anomaly Detection
Frequently asked questions about Data & Analytics.
Which cloud data warehouse platforms do you build on?+
We build on Snowflake, Google BigQuery, Databricks, and AWS Redshift, selecting the optimal platform based on your data volume and query patterns.
How do you guarantee data accuracy and prevent broken dashboards?+
We implement dbt testing assertions that automatically validate uniqueness, non-null values, and schema integrity before data reaches production dashboards.
Can you build custom embedded analytics inside our customer-facing SaaS platform?+
Yes. We architect secure, multi-tenant embedded analytics dashboards within React applications with tenant-level data isolation.
How do you handle real-time streaming data ingestion?+
We build streaming ingestion pipelines using Apache Kafka, AWS Kinesis, or Google Pub/Sub connected to continuous lakehouse sync engines.
Connected Disciplines