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⚡ Built for scaling companies with real data problems

Data Engineering, done right

We design and build data pipelines that are clean, scalable, and maintainable. No bloat. No black boxes. Just solid engineering.

7+

years xp

100%

documented

4-8

weeks to prod

What we actually do

Pragmatic data engineering for growing companies that need to move fast without getting it wrong

No Black Boxes

Every pipeline is documented, reviewed, and explainable. You'll know exactly how your data moves and why - no mystery code, no hidden logic.

Weeks, Not Quarters

From scoping to production in 4-8 weeks. We ship iteratively so you see real output early, not a big reveal at the end.

Yours Forever

Clean, version-controlled code with full documentation. You own it completely - no lock-in, no dependency on us to keep it running.

Designed for Your Next 10x

We build for where you're going, not just where you are. Architecture decisions are made with your future data volume and team size in mind.

We Work With What You Have

We adapt to your existing stack and tooling. No forced migrations, no unnecessary rewrites - just improvements that fit your reality.

Ships With Monitoring

Monitoring, alerting, and logging are built in from day one - not bolted on later. You always know what's running and when something breaks.

How we work

No surprises. No bloat. Just a clear process from first call to production.

01

Discovery

We start with a free call to understand your data landscape, current pain points, and where you want to be. No pitch, just honest conversation.

02

Scoping

We map out exactly what needs to be built, in what order, and why. You get a clear document before any code is written.

03

Build

We build iteratively in short cycles. You see working pipelines early and can give feedback throughout - not just at the end.

04

Handover

Full documentation, clean code, and a walkthrough session. Your team can maintain everything we build without needing us around.

Battle-tested tools

Our tech stack

The modern data engineering ecosystem - from ingestion to insight

AWS

AWS

Cloud

GCP

GCP

Cloud

Databricks

Databricks

Lakehouse

Snowflake

Snowflake

Data Warehouse

RS

Redshift

Data Warehouse

BigQuery

BigQuery

Data Warehouse

ICE

Iceberg

Table Format

DDB

DynamoDB

NoSQL

KNS

Kinesis

Streaming

ATH

Athena

Query Engine

Trino

Trino

Query Engine

AWS

AWS

Cloud

GCP

GCP

Cloud

Databricks

Databricks

Lakehouse

Snowflake

Snowflake

Data Warehouse

RS

Redshift

Data Warehouse

BigQuery

BigQuery

Data Warehouse

ICE

Iceberg

Table Format

DDB

DynamoDB

NoSQL

KNS

Kinesis

Streaming

ATH

Athena

Query Engine

Trino

Trino

Query Engine

AWS

AWS

Cloud

GCP

GCP

Cloud

Databricks

Databricks

Lakehouse

Snowflake

Snowflake

Data Warehouse

RS

Redshift

Data Warehouse

BigQuery

BigQuery

Data Warehouse

ICE

Iceberg

Table Format

DDB

DynamoDB

NoSQL

KNS

Kinesis

Streaming

ATH

Athena

Query Engine

Trino

Trino

Query Engine

Python

Python

Language

Airflow

Airflow

Orchestration

dbt

dbt

Transformation

Spark

Spark

Processing

Kafka

Kafka

Streaming

Docker

Docker

Containers

Terraform

Terraform

Infrastructure

CDK

CDK

Infrastructure

GitHub Actions

GitHub Actions

CI/CD

PostgreSQL

PostgreSQL

Database

JAVA

Java

Language

Python

Python

Language

Airflow

Airflow

Orchestration

dbt

dbt

Transformation

Spark

Spark

Processing

Kafka

Kafka

Streaming

Docker

Docker

Containers

Terraform

Terraform

Infrastructure

CDK

CDK

Infrastructure

GitHub Actions

GitHub Actions

CI/CD

PostgreSQL

PostgreSQL

Database

JAVA

Java

Language

Python

Python

Language

Airflow

Airflow

Orchestration

dbt

dbt

Transformation

Spark

Spark

Processing

Kafka

Kafka

Streaming

Docker

Docker

Containers

Terraform

Terraform

Infrastructure

CDK

CDK

Infrastructure

GitHub Actions

GitHub Actions

CI/CD

PostgreSQL

PostgreSQL

Database

JAVA

Java

Language

Alex Azar
Founder @ AzCoding

Alex Azar

Senior Data Platform Engineer

Over the past 7+ years I've built data platforms inside some fast-moving companies - a UK digital bank, a Series A AI learning platform, and a UK SaaS property management company. Each time, the job was the same: take messy, unreliable data infrastructure and turn it into something the business could actually depend on.

I founded AzCoding because growing companies deserve the same quality of data engineering as the enterprises - without the bloat, the black boxes, or the six-month timelines. Everything I build is yours: clean code, full docs, no lock-in.

7+

Years experience

86%

Cost reduction delivered

10+

Platforms built

Built on real feedback

We let the work speak for itself

"Alex is one of those rare people you can hand a complex problem to and trust completely to get on with it. He rebuilt our entire data platform from a costy Redshift warehouse to a sleek Apache Iceberg lakehouse in just eight weeks. Our warehousing costs dropped from £2.8k to under £400 a month, and queries that used to take five hours now finish in under one. He's sharp, pragmatic, and genuinely easy to work with. If you get the chance to work with him, take it."

Dr. Christopher Pedder

Dr. Christopher Pedder

Chief Data Officer

"Working with AzCoding was an incredible experience. Alex automated our trading strategy with real professionalism and great energy, and the deep backtesting alongside the detailed data analysis gave us a level of clarity that we never had before. It helped adjust key elements and ultimately make the strategy more robust and performant. I highly recommend working with him!"

Partner

Partner

Co-founder, Independent Trading Firm

Frequently asked questions

Everything you need to know before getting started