Data Engineering & Analytics

Turn raw data into
a product your business runs on

Senior data engineers build the pipelines, warehouses and semantic layer that make analytics, BI and ML actually trustworthy — not just possible.

Data & analytics teams that trust us

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The problem

Data volume isn't the problem

Most teams don't lack data — they lack pipelines they can trust, a shared definition of the truth, and a fast path from raw events to decisions.

From data chaos

  • Duplicate, conflicting metrics across dashboards
  • Pipelines that break silently and go unnoticed for days
  • Analysts spending more time reconciling than analyzing
  • Warehouse costs growing faster than actual usage

To decision-ready

  • One semantic layer, one definition of every metric
  • Tested, observable pipelines with alerting built in
  • Self-serve BI that analysts and execs both trust
  • Compute costs tuned to your real query patterns

Where we win

Where we win

Legacy & warehouse migrations

Move off brittle on-prem systems and into a modern cloud warehouse without breaking the reports the business depends on.

  • Zero-downtime cutover plan
  • Historical data parity checks
  • Cost model before you commit
SnowflakeBigQueryRedshift

Real-time & streaming pipelines

Event-driven pipelines that keep operational and analytical systems in sync within seconds, not overnight batches.

  • Exactly-once delivery guarantees
  • Schema evolution handled safely
  • Built-in backfill & replay
KafkaKinesisdbt

Semantic layer & BI enablement

One governed layer that turns raw tables into metrics your whole company can query — and trust — without an engineer in the loop.

  • Metric definitions version-controlled
  • Row-level security by default
  • Self-serve without shadow spreadsheets
Lookerdbt SemanticPower BI

What makes it work

What makes it work

Contract-tested pipelines

Every pipeline ships with data contracts and automated tests, so a schema change upstream doesn't break dashboards downstream.

Observability by default

Freshness, volume and schema monitors on every table — you hear about a break before your stakeholders do.

Semantic layer as the source of truth

Metrics defined once, consumed everywhere: BI tools, notebooks and AI agents all read from the same definitions.

Senior engineers, embedded

No handoffs to a black-box team — the engineers who design your pipelines are the ones who run and support them.

Proof points

Numbers, not adjectives

120+

Data pipelines shipped to production

40%

Average reduction in warehouse spend

99.9%

Pipeline uptime SLA

6 wks

Average time to first production dashboard

Delivery model

How we deliver, step by step

Discovery & data audit

We map your sources, pipelines and reporting to find where trust breaks down.

Foundation build

Ingestion, warehouse modeling and tests — the plumbing done right, once.

Semantic layer & BI

One governed metrics layer so every team queries the same numbers.

Scale & optimize

Cost tuning, added sources, and hand-off or ongoing management — your call.

Expansion capabilities

Expansion capabilities

Once the foundation is solid, we grow with you into the harder problems.

Data quality & governance

MLOps & feature stores

Cost & FinOps for data

Embedded analytics

Reverse ETL

Data mesh enablement

Engagement models

Engagement models that fit how you work

Staff augmentation

Extend an existing data team with senior specialists who ramp in days, not months.

Dedicated pod

A senior pod — engineering and analytics — embedded end-to-end, sprint by sprint.

Managed data platform

We own the pipelines, warehouse and SLAs. You consume trusted data, nothing else.

Platform expertise

Fluent in the modern data stack

We're not tied to one vendor — we pick the right tool for your data, your team, and your budget.

SnowflakeDatabricksBigQueryRedshiftdbtAirflowFivetranKafkaSparkLookerPower BITableau
“Distillery didn't just build pipelines — they rebuilt how our whole company trusts data. Our exec dashboard finally shows one number, not five.”

VP of Data · Series C SaaS platform

Ready to fix your data foundation?

Get a senior data lead on a call this week and a concrete plan for your pipelines.

Talk to a Data Lead