(00) / Database design

Data, by design.
PostgreSQL. MongoDB. Redis.

A schema that scales with the product. Fast queries, safe migrations, clean data.

(01) / The schema

Modeled,
not guessed.

Tables, relations and constraints designed around your domain. Normalized where it matters, denormalized where it pays.

(02) / The query

Every query
earns its keep.

Indexes planned with the access patterns. No sequential scans in the hot path.

(03) / The speed

Milliseconds,
not minutes.

EXPLAIN before and after. Query plans read, indexes tuned, latency budgeted.

(04) / The safety

Backed up.
Replicated. Yours.

Point-in-time recovery, replicas and migrations that roll back clean.

Design my schemaThe numbers
Scroll
(01) / Benchmark

Same query. 100x faster with proper indexes.

EXPLAIN ANALYZEorders / 5M rows
Sequential scan
SELECT * FROM orders WHERE user_id = $1
0ms
Bitmap index scan
WHERE user_id = $1 (+ btree index)
0ms
Index scan + cover
(+ btree, INCLUDE(status, total))
0ms

PostgreSQL 17. 5M rows. Cold cache. Indicative.

(02) / Numbers

The shape of a tuned schema.

0M+

Rows comfortable

0ms

p95 query

0%

Migrations tested

0

Surprises in prod

(03) / What You Get

What You Get.

TABLEdeliverables5 rows
id
key
value
  • 001
    PRIMARY
    Schema design tailored to your real workload, not a template.
  • 002
    VARCHAR
    Migrations, seeds, rollback strategy. Day one.
  • 003
    VARCHAR
    Indexes and query plans tuned by hand.
  • 004
    VARCHAR
    Backup and recovery plan you can rehearse.
  • 005
    VARCHAR
    Documentation of every table, every relationship, every choice.
(04) / Differently

The query plan. No surprises at runtime.

EXPLAIN ANALYZEplanner output
-> Plan node #01(cost=0.04..0.16 rows=32 width=64)
AI explores schema trade-offs before locking in. You get the cleanest fit.
actual time=0.60ms · buffers=hit
-> Plan node #02(cost=0.08..0.32 rows=64 width=64)
I run my own production databases. I know what hurts at scale.
actual time=1.20ms · buffers=hit
-> Plan node #03(cost=0.12..0.48 rows=96 width=64)
Performance budgets per query. Not vibes.
actual time=1.80ms · buffers=hit
-> Plan node #04(cost=0.16..0.64 rows=128 width=64)
Built for the next 10x, not just the launch traffic.
actual time=2.40ms · buffers=hit
Planning Time: 0.18 ms · Execution Time: 12.4 ms
(05) / Guarantee

Promises you can hold me to.

  • 01

    Indexed for your real queries, measured before handoff.

  • 02

    Disaster recovery tested, not just configured.

  • 03

    Full schema and migration history. You own everything.

  • 04

    30 days of free tuning after launch.

(06) / Why Me

SELECT * FROM engineer.

SELECT * FROM engineer WHERE id = 'paul-julian-heise';
id
column
value
  • 001
    experience
    PostgreSQL, MySQL, MongoDB, Redis. Production for a decade.
  • 002
    founded
    I've broken databases. I've fixed databases. Mostly fixed.
  • 003
    model
    Senior engineer who treats data as a contract, not an afterthought.
  • 004
    delivery
    One person across schema, queries, indexes, ops.
(4 rows)
(07) / In Your Team

Also available embedded. Your team, this discipline.

Not every project needs the full chain. If you run your own team, I join it in exactly this discipline. As a freelancer, inside your workflow.

  • 01
    Data layer support for your team. Schema reviews, tuning, migrations.
  • 02
    PostgreSQL, MySQL, MongoDB, Redis. A decade in production.
  • 03
    Works alongside your backend devs. The knowledge stays in your team.
  • 04
    Also available for one-off audits and rescue missions.
(08) / Start

Ready when you are. Let’s talk.

Get in Touch