Data Pipelines & ETL
Airbyte, Fivetran, dbt, and custom ETL into Snowflake, BigQuery, Redshift, or Postgres warehouses.
Data Analytics
Data analytics services for businesses ready to make decisions on evidence
ETL pipelines, BI dashboards, real-time analytics, and predictive intelligence — built so leaders can stop arguing about data and start acting on it.
- Cloud-native data stacks
- Self-serve BI dashboards
- Real-time + batch pipelines
- Governance + privacy first
- Clients served
- 425+
- Projects launched
- 855+
- Satisfaction
- 95%
- Reply window
- <24h
From raw events to executive dashboards
BI Dashboards
Looker, Metabase, Tableau, Power BI, and Superset dashboards for ops, marketing, and execs.
Real-Time Analytics
Streaming pipelines (Kafka, Kinesis, Pub/Sub) with sub-second dashboards for ops-heavy products.
Product Analytics
Mixpanel, Amplitude, PostHog setup with event taxonomy, funnels, and cohort analysis.
Forecasting & Predictive
Demand forecasting, churn prediction, and LTV models tied to business KPIs.
Data Governance
Metadata cataloging, lineage, PII tagging, and access control across the data stack.
Decisions with a trusted number
Warehouses, models, and dashboards that match how the business actually talks — not 40 unused Looker tiles.
Founders flying blind
North-star metrics, funnels, and a weekly scoreboard.
Ops and finance
Reliable pipelines from billing, CRM, and product events.
Product analytics teams
Event taxonomy, identity, and self-serve exploration.
Why teams trust us
- Clients served
- 425+
- Projects launched
- 855+
- Satisfaction
- 95%
- Reply window
- <24h
What you can expect
A plan you can brief internally
Written scope, timeline, and owners — so stakeholders are not guessing what “phase 1” means.
Quality that survives launch week
Reviews, QA, and a support window after go-live. The work does not end at a demo.
Room to iterate
Analytics, feedback loops, and a backlog so v2 is cheaper than starting over.
Tools and platforms we use
- BigQuery
- Snowflake
- dbt
- Airflow
- Looker Studio
- Metabase
- GA4
- Segment
How we work
A delivery cadence you can brief internally — discovery through launch, with visible checkpoints.
- 01Step 1
Discover
Goals, users, constraints, and the metric that will decide success.
- 02Step 2
Plan
Scope, architecture, risks, and a delivery calendar you can share internally.
- 03Step 3
Build
Short sprints, weekly demos, QA in the same cadence as development.
- 04Step 4
Launch & improve
Release, measure, and iterate with a support window after go-live.
Want this scoped to your stack and timeline?
Share goals, constraints, and budget band — we will reply within one business day with a practical next step.
A delivery partner, not a ticket queue
You get a named squad, a written plan, and a product that is still operable after handover.
Senior people on the work
Strategists and engineers who have shipped this category of work before — not a junior bench learning on your budget.
One accountable squad
Design, engineering, SEO, and growth sit in one team, so you are not coordinating three vendors for one outcome.
Visible weekly progress
Demos, written updates, and a shared backlog. You always know what shipped, what is next, and what is blocked.
Built to run after launch
Handover, documentation, monitoring, and a support path — so the product does not stall the week we go live.
Ways to work
Pick the engagement that matches how you buy
Fixed-scope project
Clear deliverables, milestone billing, and a locked timeline after discovery. Best when you know the outcome.
Dedicated squad
A standing product team on a monthly retainer. Best for roadmaps that will keep moving after v1.
Specialist augmentation
Plug senior designers or engineers into your existing team without hiring full-time.
Industries we support
Same delivery quality — domain language and compliance adapted to how you sell.
- SaaS
- Ecommerce
- Marketplaces
- Fintech
- Healthcare
- Media
Frequently asked questions
What's a modern data stack look like?
Typically: Fivetran/Airbyte for ingestion, Snowflake/BigQuery for warehousing, dbt for transformation, Looker/Metabase for BI, Mixpanel/Amplitude for product analytics.
Can you migrate us from legacy reporting?
Yes — from Excel + Crystal Reports + on-prem BI to modern cloud warehouses with self-serve dashboards.
Do you support real-time use cases?
Yes — Kafka/Kinesis streaming pipelines for fraud detection, operational dashboards, and live product analytics.
Related services
Pair this service with the adjacent work most clients sequence next.
Need a tailored proposal for your business?
Tell us your goal, budget, and timeline — we'll respond within one business day with a clear next step.