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Data & Analytics

Data Pipelines That Drive Decisions

Custom BI dashboards, real-time data pipelines, predictive analytics, and ML-powered insights — from raw events to executive dashboards in weeks.

Python Spark dbt BigQuery Airflow
3.2Bevents / day
63data sources
<15mindata freshness
Production Pipeline
acme-corp/analytics-v2
LIVE
Sources
PostgreSQL
Salesforce
Stripe
Ingest
Fivetran
Kafka
S3 Landing
Transform
dbt Core
Airflow DAG
Spark Jobs
Warehouse
BigQuery
Snowflake
ClickHouse
Visualize
Metabase
Tableau
Custom API
Last Run 2m ago ✓ 0 errors
Rows / Day 3.2B +12% vs prior
Pipeline SLA 99.9% 30-day avg
Freshness <15 min All tables
dbt 1.7
Airflow 2.8

Data analytics & BI services

Pipelines, dashboards, and ML models — built on your existing infrastructure.

Custom BI Dashboards

Metabase, Superset, or custom React dashboards. Real-time KPIs, drill-downs, role-based access, mobile-responsive.

Data Pipeline Engineering

ETL/ELT pipelines with dbt, Airflow, and Apache Spark. Batch and streaming (Kafka). Multi-source ingestion.

Data Warehouse Design

BigQuery, Snowflake, Redshift setup, schema modeling, data normalization, performance optimization.

Predictive Analytics & ML

Churn prediction, demand forecasting, anomaly detection, recommendation engines. Python + scikit-learn + PyTorch.

Real-time Analytics

Kafka streams, ClickHouse, real-time event processing. Event dashboards with sub-second latency.

Data Governance & Quality

Schema validation, data lineage tracking, quality monitoring, automated anomaly alerts, GDPR compliance.

3.2BEvents / Day
63Data Sources
99.9%Pipeline Uptime
<15minData Freshness
From raw events to executive dashboards

Data infrastructure that scales with your growth

We design data architectures from ingestion to insight — connecting your databases, APIs, SaaS tools, and event streams into a single clean data warehouse. dbt models for transformation, Airflow for orchestration, and your choice of BI layer on top. Built for analysts to self-serve, not just engineers.

ELT over ETL — transform in-warehouse with dbt for auditability
Airflow DAGs with alerting — every pipeline failure is caught immediately
Semantic layer built for self-serve analytics without SQL knowledge
analytics.yourproject.io/overview
ANALYTICS OVERVIEW ● Live
REVENUE $2.4M +8.2%
USERS 18.9k +5.1%
CONV. 3.8% +0.4pp
CHURN 1.2% -0.3pp
MONTHLY REVENUE — 2025 +22% YoY
TOP SEGMENTS
SegmentUsersLTV Enterprise4.2k$12.4k Mid-Market8.7k$3.8k SMB6.0k$890
BigQuery
Airflow
dbt
Python

From source tables to business models

Every dbt model is tested, documented, and versioned. Analysts self-serve from the mart layer — no SQL required.

dbt Model Graph 128 models
stg_ (Staging)
stg_orders
stg_customers
stg_payments
stg_events
stg_sessions
↓ ↓ ↓
int_ (Intermediate)
int_order_items
int_customer_ltv
int_revenue_daily
↓ ↓ ↓
mart_ (Business Layer)
mart_revenue
mart_customers
mart_funnels
Airflow DAG Runs Last 6 runs
daily_dbt_run
6/6
kafka_consumer_sync
!
5/6
ml_forecast_weekly
6/6
s3_fivetran_incremental
6/6
great_expectations_qa
6/6
29
Passed
1
Warning
0
Failed
4m 12s
Avg run time

From raw data to dashboard launch

01
Data Audit

We inventory your existing data sources, assess data quality, identify gaps, and map what's needed to answer your key business questions.

02
Architecture Design

Data warehouse schema, pipeline topology, orchestration tool selection, and BI layer choice — all agreed and documented before build starts.

03
Pipeline Build

Ingestion connectors, dbt transformation models, Airflow DAGs, and data quality tests — built with full lineage documentation.

04
Dashboard Launch

BI dashboards deployed, stakeholder training delivered, alerting configured — and your team self-serving data within the first week.

Ready to unlock your data?

Start Your Data Project

Tell us what decisions you need to make faster. We'll build the data infrastructure that makes them obvious.

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